From bb8078315c32a2fad86ba198ed319ee45980330e Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Tue, 15 Apr 2025 15:28:55 +0200 Subject: [PATCH 01/30] separate traditional DRI and hydrogen-based DRI --- inputs/manual_input.csv | 24 +++++++++++++++--------- 1 file changed, 15 insertions(+), 9 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index b9f1ce5a..2e2996f4 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -309,12 +309,18 @@ dry bulk carrier Capesize,capacity,2020,180000,t,2020,-,"DWT; corresponds to siz dry bulk carrier Capesize,investment,2020,40000000,EUR,2020,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR." dry bulk carrier Capesize,FOM,2020,4,%/year,2020,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost." dry bulk carrier Capesize,lifetime,2020,25,years,2020,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime. -direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." -direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost." -direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. -direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’. -direct iron reduction furnace,hydrogen-input,2020,2.1,MWh_H2/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect)." -direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’. +hydrogen direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." +hydrogen direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost." +hydrogen direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +hydrogen direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’. +hydrogen direct iron reduction furnace,hydrogen-input,2020,2.1,MWh_H2/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect)." +hydrogen direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’. +direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).", +direct iron reduction furnace,natural_gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ", +direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." electric arc furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. @@ -392,15 +398,15 @@ iron-air battery,FOM,2030,1,%/year,2023,"Form Energy, docu/FormEnergy_Europe_mod iron-air battery,FOM,2035,1.10628646943421,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,FOM,2040,1.1807773334732,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2025,30.05,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery,investment,2030,20.00,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery,investment,2030,20,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2035,15.11,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2040,13.33,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery charge,efficiency,2025,0.70,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery charge,efficiency,2025,0.7,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2030,0.71,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2035,0.73,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2040,0.74,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2025,0.59,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery discharge,efficiency,2030,0.60,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery discharge,efficiency,2030,0.6,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2035,0.62,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2040,0.63,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", From 4d298ebf7e266bf30bd2fc580c945911b9cb5076 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Tue, 15 Apr 2025 18:30:45 +0200 Subject: [PATCH 02/30] add BF-BOF technology --- inputs/manual_input.csv | 6 ++++++ outputs/US/costs_2020.csv | 24 ++++++++++++++++++------ outputs/US/costs_2025.csv | 24 ++++++++++++++++++------ outputs/US/costs_2030.csv | 24 ++++++++++++++++++------ outputs/US/costs_2035.csv | 24 ++++++++++++++++++------ outputs/US/costs_2040.csv | 24 ++++++++++++++++++------ outputs/US/costs_2045.csv | 24 ++++++++++++++++++------ outputs/US/costs_2050.csv | 24 ++++++++++++++++++------ outputs/costs_2020.csv | 24 ++++++++++++++++++------ outputs/costs_2025.csv | 24 ++++++++++++++++++------ outputs/costs_2030.csv | 24 ++++++++++++++++++------ outputs/costs_2035.csv | 24 ++++++++++++++++++------ outputs/costs_2040.csv | 24 ++++++++++++++++++------ outputs/costs_2045.csv | 24 ++++++++++++++++++------ outputs/costs_2050.csv | 24 ++++++++++++++++++------ 15 files changed, 258 insertions(+), 84 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 2e2996f4..3532f99a 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -410,3 +410,9 @@ iron-air battery discharge,efficiency,2030,0.6,per unit,2023,"Form Energy, docu/ iron-air battery discharge,efficiency,2035,0.62,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2040,0.63,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’. +blast furnace-basic oxygen furnace,FOM,2020,14.18,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’. +blast furnace-basic oxygen furnace,lifetime,2020,40,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." +blast furnace-basic oxygen furnace,ore-input,2020,0.051,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` +blast furnace-basic oxygen furnace,Scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 05079fbe..2725df1e 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3568,6 +3568,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3824,12 +3830,12 @@ direct firing solid fuels CC,VOM,0.3276,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -3957,6 +3963,12 @@ hydro,investment,2574.0603,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2574.0603,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,R&D,Conservative hydro,investment,2574.0603,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,R&D,Moderate hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 200999df..cd94e9d4 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3648,6 +3648,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3910,12 +3916,12 @@ direct firing solid fuels CC,VOM,0.3301,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4043,6 +4049,12 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index fcb5f648..7dc0280e 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3804,6 +3804,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -4066,12 +4072,12 @@ direct firing solid fuels CC,VOM,0.3326,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4199,6 +4205,12 @@ hydro,investment,2690.4649,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 212cb2da..bf3f9284 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3828,6 +3828,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -4090,12 +4096,12 @@ direct firing solid fuels CC,VOM,0.3339,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4223,6 +4229,12 @@ hydro,investment,2568.6361,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 8384d9aa..c78dca3d 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3828,6 +3828,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -4090,12 +4096,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4223,6 +4229,12 @@ hydro,investment,2446.8072,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index bde7ce86..3e487506 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3828,6 +3828,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -4090,12 +4096,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4223,6 +4229,12 @@ hydro,investment,2446.8072,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index fd4b94a4..98d0297b 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3828,6 +3828,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0,, biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -4090,12 +4096,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, @@ -4223,6 +4229,12 @@ hydro,investment,2446.8072,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Moderate hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0,, hydrogen storage compressor,FOM,4.0,%/year,ICCT IRA e-fuels assumptions ,,2022.0,, hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,,, hydrogen storage compressor,investment,1.9919,USD/kWh_H2,ICCT IRA e-fuels assumptions ,,2022.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 9adcc1ba..8ef0e6d2 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3276,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 9e70e5f9..826c7dd6 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3301,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 0b41cac5..67f60308 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3326,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index d787787a..9326c4f0 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3339,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index bacdadfe..8f7f6c1e 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 73550d20..ac29c154 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 6e1e9087..70ba8a9c 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -629,6 +629,12 @@ biomass-to-methanol,efficiency-electricity,0.02,MWh_e/MWh_th,"Danish Energy Agen biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","97 Methanol from biomass gasif.: District heat Output,",2020.0 biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 +blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -831,12 +837,12 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 -direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 +direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 @@ -919,6 +925,12 @@ hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pyp hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 +hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 +hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 +hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +hydrogen direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’.,2020.0 hydrogen storage compressor,FOM,4.0,%/year,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",-,2020.0 hydrogen storage compressor,compression-electricity-input,0.05,MWh_el/MWh_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.",1.707 kWh/kg.,2020.0 hydrogen storage compressor,investment,87.69,EUR/kW_H2,"Based on Stöckl et al (2021): https://doi.org/10.48550/arXiv.2005.03464, table SI.4.","2923 EUR/kg_H2. For a 206 kg/h compressor. Base CAPEX 40 528 EUR/kW_el with scale factor 0.4603. kg_H2 converted to MWh using LHV. Pressure range: 30 bar in, 250 bar out.",2020.0 From 22e8a307b7c2e11ff790fa3c56d788426bd468f9 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Tue, 15 Apr 2025 18:58:35 +0200 Subject: [PATCH 03/30] restore decimal digits for iron-air batter --- inputs/manual_input.csv | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 3532f99a..a714aae5 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -398,15 +398,15 @@ iron-air battery,FOM,2030,1,%/year,2023,"Form Energy, docu/FormEnergy_Europe_mod iron-air battery,FOM,2035,1.10628646943421,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,FOM,2040,1.1807773334732,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2025,30.05,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery,investment,2030,20,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery,investment,2030,20.00,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2035,15.11,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2040,13.33,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery charge,efficiency,2025,0.7,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery charge,efficiency,2025,0.70,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2030,0.71,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2035,0.73,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2040,0.74,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2025,0.59,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery discharge,efficiency,2030,0.6,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery discharge,efficiency,2030,0.60,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2035,0.62,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2040,0.63,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", From e04375cc0c0546259cfb27467526ee5e536a0e1a Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 16 Apr 2025 15:11:27 +0200 Subject: [PATCH 04/30] add ethanol and cement production technologies --- inputs/manual_input.csv | 33 +++++++++++++++++++++++++++------ outputs/US/costs_2020.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2025.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2030.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2035.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2040.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2045.csv | 27 ++++++++++++++++++++++++--- outputs/US/costs_2050.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2020.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2025.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2030.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2035.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2040.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2045.csv | 27 ++++++++++++++++++++++++--- outputs/costs_2050.csv | 27 ++++++++++++++++++++++++--- 15 files changed, 363 insertions(+), 48 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index a714aae5..993164b5 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -319,7 +319,7 @@ direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model as direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).", -direct iron reduction furnace,natural_gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ", +direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ", direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." @@ -398,21 +398,42 @@ iron-air battery,FOM,2030,1,%/year,2023,"Form Energy, docu/FormEnergy_Europe_mod iron-air battery,FOM,2035,1.10628646943421,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,FOM,2040,1.1807773334732,%/year,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2025,30.05,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery,investment,2030,20.00,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery,investment,2030,20,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2035,15.11,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,investment,2040,13.33,EUR/kWh,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery charge,efficiency,2025,0.70,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery charge,efficiency,2025,0.7,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2030,0.71,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2035,0.73,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery charge,efficiency,2040,0.74,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2025,0.59,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -iron-air battery discharge,efficiency,2030,0.60,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", +iron-air battery discharge,efficiency,2030,0.6,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2035,0.62,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery discharge,efficiency,2040,0.63,per unit,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Europe_modeling_recommendations_2023.03.pdf, p4", -blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’. +blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’. blast furnace-basic oxygen furnace,FOM,2020,14.18,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’. blast furnace-basic oxygen furnace,lifetime,2020,40,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,0.051,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` -blast furnace-basic oxygen furnace,Scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` +blast furnace-basic oxygen furnace,scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` +cement dry clinker,investment,2020,125,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2020,1.9,MWh_NG/t_cl,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2020,30,MWh_el/t_cl,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement finishing,investment,2020,10,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,VOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2020,174,MWh_el/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2020,0.656,t_cl/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2020,2437,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth +ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,VOM,2020,1,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2020,1804,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth +ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,VOM,2020,1.2,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,efficiency,2020,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 2725df1e..5c08db0d 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3569,11 +3569,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3583,6 +3583,17 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3832,9 +3843,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -3881,6 +3892,16 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index cd94e9d4..476f628f 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3649,11 +3649,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3663,6 +3663,17 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3918,9 +3929,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -3967,6 +3978,16 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 7dc0280e..b38d619b 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3805,11 +3805,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3819,6 +3819,17 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4074,9 +4085,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -4123,6 +4134,16 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index bf3f9284..03a3f2c7 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3829,11 +3829,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3843,6 +3843,17 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4098,9 +4109,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -4147,6 +4158,16 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index c78dca3d..b892d847 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3829,11 +3829,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3843,6 +3843,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4098,9 +4109,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -4147,6 +4158,16 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 3e487506..07c87125 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3829,11 +3829,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3843,6 +3843,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4098,9 +4109,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -4147,6 +4158,16 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 98d0297b..9caf31b9 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3829,11 +3829,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3843,6 +3843,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4098,9 +4109,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, @@ -4147,6 +4158,16 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 8ef0e6d2..c55f3ac7 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 826c7dd6..814bb8ae 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 67f60308..4e410604 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 9326c4f0..567cf1b9 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 8f7f6c1e..498db085 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index ac29c154..26d38079 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 70ba8a9c..e5a80d75 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -630,11 +630,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,Scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 -blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 +blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -644,6 +644,17 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -839,9 +850,9 @@ direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inp direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,natural_gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 @@ -888,6 +899,16 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 From 9ebfdfaa927b3af55fa97b8599101f7f23a33301 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 16 Apr 2025 15:14:53 +0200 Subject: [PATCH 05/30] update release notes --- docs/release_notes.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/release_notes.rst b/docs/release_notes.rst index baba92e7..13efe6a5 100644 --- a/docs/release_notes.rst +++ b/docs/release_notes.rst @@ -52,6 +52,8 @@ Upcoming Release * Updates ci.yaml such that it fails if the generated outputs are different than the ones committed (https://github.com/PyPSA/technology-data/pull/205) +* Add BF-BOF and separate natural gas- and hydrogen-based steelmaking, cement and ethanol production technologies (https://github.com/PyPSA/technology-data/pull/211) + `v0.11.0 `__ (24th January 2025) ======================================================================================= From dda18d795abadfcc804ae726c2ce26304fb55eb0 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 17 Apr 2025 11:40:29 +0200 Subject: [PATCH 06/30] add scrap input for EAF --- inputs/manual_input.csv | 5 +++-- outputs/US/costs_2020.csv | 5 +++-- outputs/US/costs_2025.csv | 5 +++-- outputs/US/costs_2030.csv | 5 +++-- outputs/US/costs_2035.csv | 5 +++-- outputs/US/costs_2040.csv | 5 +++-- outputs/US/costs_2045.csv | 5 +++-- outputs/US/costs_2050.csv | 5 +++-- outputs/costs_2020.csv | 5 +++-- outputs/costs_2025.csv | 5 +++-- outputs/costs_2030.csv | 5 +++-- outputs/costs_2035.csv | 5 +++-- outputs/costs_2040.csv | 5 +++-- outputs/costs_2045.csv | 5 +++-- outputs/costs_2050.csv | 5 +++-- 15 files changed, 45 insertions(+), 30 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 993164b5..fe7f1508 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -320,12 +320,13 @@ direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).", direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ", -direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", +direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." electric arc furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. electric arc furnace,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. -electric arc furnace,hbi-input,2020,1,t_hbi/t_steel,2020,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. +electric arc furnace,hbi-input,2020,0.37,t_hbi/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. +electric arc furnace,scrap-input,2020,0.71,t_scrap/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.", shipping fuel methanol,fuel,2020,72,EUR/MWh_th,2020,"Based on (source 1) Hampp et al (2022), https://arxiv.org/abs/2107.01092, and (source 2): https://www.methanol.org/methanol-price-supply-demand/; both accessed: 2022-12-03.",400 EUR/t assuming range roughly in the long-term range for green methanol (source 1) and late 2020+beyond values for grey methanol (source 2). shipping fuel methanol,CO2 intensity,2020,0.2482,t_CO2/MWh_th,2020,-,Based on stochiometric composition. iron ore DRI-ready,commodity,2020,97.73,EUR/t,2020,"Model assumptions from MPP Steel Transition Tool: https://missionpossiblepartnership.org/action-sectors/steel/, accessed: 2022-12-03.","DRI ready assumes 65% iron content, requiring no additional benefication." diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 5c08db0d..f416f0fc 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3846,16 +3846,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 476f628f..96bed8ca 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3932,16 +3932,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index b38d619b..8c4d0f76 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4088,16 +4088,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 03a3f2c7..53a8a7ed 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4112,16 +4112,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index b892d847..64af5e48 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4112,16 +4112,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 07c87125..e9a0fe32 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4112,16 +4112,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 9caf31b9..3db3526b 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4112,16 +4112,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0,, +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index c55f3ac7..7575a27d 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 814bb8ae..c741a0e7 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 4e410604..2cf1eb47 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 567cf1b9..75fc1d5e 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 498db085..7714403d 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 26d38079..5c057e86 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index e5a80d75..031ea3ec 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -853,16 +853,17 @@ direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possi direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,2020.0 +direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 From 61e84e95ee00b587bfb3fb1341e9bec30a27b559 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 7 May 2025 16:18:41 +0200 Subject: [PATCH 07/30] fix steel data, change unit for VOM and add CO2 intensity bioethanol crops --- inputs/manual_input.csv | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index fe7f1508..9df560e3 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -315,7 +315,7 @@ hydrogen direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assump hydrogen direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’. hydrogen direct iron reduction furnace,hydrogen-input,2020,2.1,MWh_H2/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect)." hydrogen direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’. -direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).", @@ -378,6 +378,7 @@ bioethanol crops,fuel,2020,54.6434100368518,EUR/MWhth,2010,"JRC ENSPRESO ca avg bioethanol crops,fuel,2030,72.477665790641,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2040,75.7178710725453,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2050,78.995541440487,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", +bioethanol crops,CO2 intensity,2020,0.25704,tCO2/MWh_th,,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ", biodiesel crops,fuel,2020,84.585016773297,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2030,121.021431275337,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2040,120.926387801857,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", @@ -414,27 +415,27 @@ iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Eur blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’. blast furnace-basic oxygen furnace,FOM,2020,14.18,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’. blast furnace-basic oxygen furnace,lifetime,2020,40,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. -blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." -blast furnace-basic oxygen furnace,ore-input,2020,0.051,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` -blast furnace-basic oxygen furnace,scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF` +blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." +blast furnace-basic oxygen furnace,ore-input,2020,1.59,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` +blast furnace-basic oxygen furnace,scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` cement dry clinker,investment,2020,125,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2020,1.9,MWh_NG/t_cl,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2020,30,MWh_el/t_cl,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2020,1.9,Mwh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2020,30,Mwh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement finishing,investment,2020,10,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,VOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,electricity-input,2020,174,MWh_el/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,clinker-input,2020,0.656,t_cl/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2020,2437,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth +ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,VOM,2020,1,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2020,1804,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth +ethanol from sugar crops,investment,2020,501,EUR/MW,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,VOM,2020,1.2,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,efficiency,2020,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" From 981daf10295301d68928c62295bf8b06344f639c Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 7 May 2025 16:21:28 +0200 Subject: [PATCH 08/30] fix MWh capital letters --- inputs/manual_input.csv | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 9df560e3..886dcace 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -422,8 +422,8 @@ cement dry clinker,investment,2020,125,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2020,1.9,Mwh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2020,30,Mwh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement finishing,investment,2020,10,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) From 40017c389b3e4417e5e0d3f7329212e86c0b978a Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 7 May 2025 18:27:46 +0200 Subject: [PATCH 09/30] uniform investment values for industry to EUR/capacity/h --- inputs/manual_input.csv | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 886dcace..4ebfbfca 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -318,8 +318,7 @@ hydrogen direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mis direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", -direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).", -direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ", +direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI. direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." @@ -416,25 +415,26 @@ blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_steel/h,2020,"M blast furnace-basic oxygen furnace,FOM,2020,14.18,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’. blast furnace-basic oxygen furnace,lifetime,2020,40,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." -blast furnace-basic oxygen furnace,ore-input,2020,1.59,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -blast furnace-basic oxygen furnace,scrap-input,2020,0.251,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2020,125,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` +blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` +cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement finishing,investment,2020,10,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,investment,2020,1142,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2020,174,MWh_el/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2020,0.656,t_cl/t_cem,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. +cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2020,77,EUR/MW_eth/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW. ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2020,501,EUR/MW,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,investment,2020,57,EUR/MW_eth/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production From 3c4fc4b3163d09b3bdf32278349dfb5b9da5cc73 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 7 May 2025 18:32:45 +0200 Subject: [PATCH 10/30] run compile_cost_assumptions --- outputs/US/costs_2020.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2025.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2030.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2035.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2040.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2045.csv | 39 ++++++++++++++++++++------------------- outputs/US/costs_2050.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2020.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2025.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2030.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2035.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2040.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2045.csv | 39 ++++++++++++++++++++------------------- outputs/costs_2050.csv | 39 ++++++++++++++++++++------------------- 14 files changed, 280 insertions(+), 266 deletions(-) diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index f416f0fc..a2500200 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3461,6 +3461,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3569,11 +3570,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3584,16 +3585,17 @@ cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3842,9 +3844,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -3894,14 +3895,14 @@ electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 96bed8ca..a1f19a51 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3541,6 +3541,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3649,11 +3650,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3664,16 +3665,17 @@ cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3928,9 +3930,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -3980,14 +3981,14 @@ electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/ electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 8c4d0f76..839c6f8f 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3697,6 +3697,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3805,11 +3806,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3820,16 +3821,17 @@ cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4084,9 +4086,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -4136,14 +4137,14 @@ electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 53a8a7ed..f3e7f390 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3721,6 +3721,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3829,11 +3830,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3844,16 +3845,17 @@ cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4108,9 +4110,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -4160,14 +4161,14 @@ electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 64af5e48..887933e9 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3721,6 +3721,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3829,11 +3830,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3844,16 +3845,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4108,9 +4110,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -4160,14 +4161,14 @@ electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index e9a0fe32..3f93e0cf 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3721,6 +3721,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3829,11 +3830,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3844,16 +3845,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4108,9 +4110,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -4160,14 +4161,14 @@ electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 3db3526b..6114d393 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3721,6 +3721,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3829,11 +3830,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0,, biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, @@ -3844,16 +3845,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4108,9 +4110,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, @@ -4160,14 +4161,14 @@ electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0,, +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0,, +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 7575a27d..5ba326e9 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index c741a0e7..af7d263c 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.1,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/ electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 2cf1eb47..fdad8343 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.9,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.085,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 75fc1d5e..19069134 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.925,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.08,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 7714403d..03ead412 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 5c057e86..193a6f94 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 031ea3ec..6df09263 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -555,6 +555,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 +bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -630,11 +631,11 @@ biomass-to-methanol,efficiency-heat,0.22,per unit,"Danish Energy Agency, inputs/ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Specific investment,2020.0 biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 -blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -blast furnace-basic oxygen furnace,ore-input,0.051,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 -blast furnace-basic oxygen furnace,scrap-input,0.251,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 +blast furnace-basic oxygen furnace,scrap-input,0.051,t_scrap/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 cement capture,FOM,3.0,%/year,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,capture_rate,0.95,per unit,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,compression-electricity-input,0.075,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 @@ -645,16 +646,17 @@ cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_cl,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,125.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,MWh_el/t_cem,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,10.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -849,9 +851,8 @@ direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inpu direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15).",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 @@ -901,14 +902,14 @@ electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,1.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,2437.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 MEUR/PJ_eth,2020.0 +ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,1.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,1804.0,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 MEUR/PJ_eth,2020.0 +ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 From 79c13bfb97a56e781ebff06af4fb6afa9866ca11 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 8 May 2025 10:12:48 +0200 Subject: [PATCH 11/30] correct data and units for ethanol --- inputs/manual_input.csv | 4 ++-- outputs/US/costs_2020.csv | 4 ++-- outputs/US/costs_2025.csv | 4 ++-- outputs/US/costs_2030.csv | 4 ++-- outputs/US/costs_2035.csv | 4 ++-- outputs/US/costs_2040.csv | 4 ++-- outputs/US/costs_2045.csv | 4 ++-- outputs/US/costs_2050.csv | 4 ++-- outputs/costs_2020.csv | 4 ++-- outputs/costs_2025.csv | 4 ++-- outputs/costs_2030.csv | 4 ++-- outputs/costs_2035.csv | 4 ++-- outputs/costs_2040.csv | 4 ++-- outputs/costs_2045.csv | 4 ++-- outputs/costs_2050.csv | 4 ++-- 15 files changed, 30 insertions(+), 30 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 4ebfbfca..82aef6b9 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -429,12 +429,12 @@ cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2020,77,EUR/MW_eth/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW. +ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2020,57,EUR/MW_eth/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW +ethanol from sugar crops,investment,2020,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index a2500200..7a38b5af 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3897,12 +3897,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index a1f19a51..e5f003ad 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3983,12 +3983,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 839c6f8f..1385d606 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4139,12 +4139,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index f3e7f390..482b311a 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4163,12 +4163,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 887933e9..b1f6a5d4 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4163,12 +4163,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 3f93e0cf..823d5582 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4163,12 +4163,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 6114d393..73a2212c 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4163,12 +4163,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 5ba326e9..b07a22f7 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index af7d263c..f2a3f81c 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index fdad8343..ec982156 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 19069134..46a41a41 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 03ead412..e33c115f 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 193a6f94..c352fbe5 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 6df09263..0ea3086b 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -904,12 +904,12 @@ electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,77.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. Original value 677 EUR/GW.,2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,57.0,EUR/MW_eth/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. Original value 501 EUR/GW,2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 From 0dd484fc1f0fbd8e285fdcff430566211c8e1068 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 12:06:37 +0200 Subject: [PATCH 12/30] add explanation on direct iron reduction name changes and modify name of natural gas direct iron reduction furnace --- docs/release_notes.rst | 4 ++-- inputs/manual_input.csv | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/release_notes.rst b/docs/release_notes.rst index 40ed2f47..7de5854f 100644 --- a/docs/release_notes.rst +++ b/docs/release_notes.rst @@ -60,14 +60,14 @@ Upcoming Release * Updates ci.yaml such that it fails if the generated outputs are different than the ones committed (https://github.com/PyPSA/technology-data/pull/205) -* Add BF-BOF and separate natural gas- and hydrogen-based steelmaking, cement and ethanol production technologies (https://github.com/PyPSA/technology-data/pull/211) +* Add BF-BOF and separate natural gas- and hydrogen-based steelmaking (The technology previously called `direct iron reduction furnace` becomes `hydrogen direct iron reduction`, and `natural gas direct iron reduction furnace` represent the conventional direct iron reduction process), cement and ethanol production technologies (https://github.com/PyPSA/technology-data/pull/211) * Include further unit tests for compile_cost_assumptions.py (https://github.com/PyPSA/technology-data/pull/210) `v0.11.0 `__ (24th January 2025) ======================================================================================= -* Country specific cost assumptions and added NREL/ATB data (https://github.com/PyPSA/technology-data/pull/160) +* Country-specific cost assumptions and added NREL/ATB data (https://github.com/PyPSA/technology-data/pull/160) * Add missing currency_year for FOM (https://github.com/PyPSA/technology-data/pull/163) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 82aef6b9..7db9d168 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -315,11 +315,11 @@ hydrogen direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assump hydrogen direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’. hydrogen direct iron reduction furnace,hydrogen-input,2020,2.1,MWh_H2/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect)." hydrogen direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’. -direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." -direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", -direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", -direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI. -direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", +natural gas direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." +natural gas direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +natural gas direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +natural gas direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI. +natural gas direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." electric arc furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. From b9c8f37eb976387d389380f871b5c15f3ad77c28 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 12:20:32 +0200 Subject: [PATCH 13/30] review CO2 intensity bioethanol crops --- inputs/manual_input.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 7db9d168..e83ac829 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -377,7 +377,7 @@ bioethanol crops,fuel,2020,54.6434100368518,EUR/MWhth,2010,"JRC ENSPRESO ca avg bioethanol crops,fuel,2030,72.477665790641,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2040,75.7178710725453,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2050,78.995541440487,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", -bioethanol crops,CO2 intensity,2020,0.25704,tCO2/MWh_th,,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ", +bioethanol crops,CO2 intensity,2020,0.12894,tCO2/MWh_th,,,Based on stochiometric composition and considering 26.7 MJ/kg energy content. biodiesel crops,fuel,2020,84.585016773297,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2030,121.021431275337,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2040,120.926387801857,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", From aa0815a1eccea2cfe28cf84bbaf0c4f56373cd3e Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 12:34:54 +0200 Subject: [PATCH 14/30] review steel data --- inputs/manual_input.csv | 14 ++++++++++++-- outputs/US/costs_2020.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2025.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2030.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2035.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2040.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2045.csv | 26 ++++++++++++++++++-------- outputs/US/costs_2050.csv | 26 ++++++++++++++++++-------- outputs/costs_2020.csv | 26 ++++++++++++++++++-------- outputs/costs_2025.csv | 26 ++++++++++++++++++-------- outputs/costs_2030.csv | 26 ++++++++++++++++++-------- outputs/costs_2035.csv | 26 ++++++++++++++++++-------- outputs/costs_2040.csv | 26 ++++++++++++++++++-------- outputs/costs_2045.csv | 26 ++++++++++++++++++-------- outputs/costs_2050.csv | 26 ++++++++++++++++++-------- 15 files changed, 264 insertions(+), 114 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index e83ac829..6290873f 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -312,20 +312,29 @@ dry bulk carrier Capesize,lifetime,2020,25,years,2020,"Based on https://mfame.gu hydrogen direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." hydrogen direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost." hydrogen direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +hydrogen direct iron reduction furnace,economic_lifetime,2020,20,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).", hydrogen direct iron reduction furnace,electricity-input,2020,1.03,MWh_el/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’. hydrogen direct iron reduction furnace,hydrogen-input,2020,2.1,MWh_H2/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect)." hydrogen direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03). ",Based on process ‘DRI-EAF_100% green H2’. natural gas direct iron reduction furnace,investment,2020,4277858,EUR/t_HBI/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost." natural gas direct iron reduction furnace,FOM,2020,11.3,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", natural gas direct iron reduction furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.", +natural gas direct iron reduction furnace,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. natural gas direct iron reduction furnace,gas-input,2020,2.78,MWh_NG/t_hbi,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI. natural gas direct iron reduction furnace,ore-input,2020,1.59,t_ore/t_hbi,,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ", electric arc furnace,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." electric arc furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +electric arc furnace,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", electric arc furnace,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. -electric arc furnace,hbi-input,2020,0.37,t_hbi/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. -electric arc furnace,scrap-input,2020,0.71,t_scrap/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.", +electric arc furnace,hbi-input,2020,1,t_hbi/t_steel,2020,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. +electric arc furnace with scrap,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. +electric arc furnace with scrap,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." +electric arc furnace with scrap,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +electric arc furnace with scrap,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", +electric arc furnace with scrap,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. +electric arc furnace with scrap,hbi-input,2020,0.37,t_hbi/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. +electric arc furnace with scrap,scrap-input,2020,0.71,t_scrap/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.", shipping fuel methanol,fuel,2020,72,EUR/MWh_th,2020,"Based on (source 1) Hampp et al (2022), https://arxiv.org/abs/2107.01092, and (source 2): https://www.methanol.org/methanol-price-supply-demand/; both accessed: 2022-12-03.",400 EUR/t assuming range roughly in the long-term range for green methanol (source 1) and late 2020+beyond values for grey methanol (source 2). shipping fuel methanol,CO2 intensity,2020,0.2482,t_CO2/MWh_th,2020,-,Based on stochiometric composition. iron ore DRI-ready,commodity,2020,97.73,EUR/t,2020,"Model assumptions from MPP Steel Transition Tool: https://missionpossiblepartnership.org/action-sectors/steel/, accessed: 2022-12-03.","DRI ready assumes 65% iron content, requiring no additional benefication." @@ -414,6 +423,7 @@ iron-air battery,lifetime,2030,17.5,years,2023,"Form Energy, docu/FormEnergy_Eur blast furnace-basic oxygen furnace,investment,2020,7637406,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’. blast furnace-basic oxygen furnace,FOM,2020,14.18,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’. blast furnace-basic oxygen furnace,lifetime,2020,40,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).", blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 8376e68c..5cacd515 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3461,7 +3461,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3571,6 +3571,7 @@ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -3843,21 +3844,23 @@ direct firing solid fuels CC,VOM,0.3276,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -3987,6 +3990,7 @@ hydro,investment,2574.0603,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2574.0603,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,R&D,Moderate hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4066,6 +4070,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.599,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,10630.1681,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.937,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,Market,Moderate nuclear,CF,0.937,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,R&D,Moderate nuclear,FOM,1.96,%/year,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2020.0,Market,Moderate diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index bed26a76..d1da304f 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3541,7 +3541,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3651,6 +3651,7 @@ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -3929,21 +3930,23 @@ direct firing solid fuels CC,VOM,0.3301,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4073,6 +4076,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4152,6 +4156,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.604,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,9224.3988,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0,, nuclear,lifetime,40.0,years,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.",,2023.0,, offwind,CF,0.4794,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index a27aa011..8768cd46 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3697,7 +3697,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3807,6 +3807,7 @@ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -4085,21 +4086,23 @@ direct firing solid fuels CC,VOM,0.3326,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4229,6 +4232,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4308,6 +4312,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,7841.7127,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Moderate nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Conservative diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 920fa96c..a12e2dc7 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3721,7 +3721,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3831,6 +3831,7 @@ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, input biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -4109,21 +4110,23 @@ direct firing solid fuels CC,VOM,0.3339,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4253,6 +4256,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4332,6 +4336,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,7406.062,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Moderate nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Conservative diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 1ef022c1..b316c280 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3721,7 +3721,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3831,6 +3831,7 @@ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, input biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -4109,21 +4110,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4253,6 +4256,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4332,6 +4336,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,6970.4113,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Moderate nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Conservative diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index e9dd3b43..f8564232 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3721,7 +3721,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3831,6 +3831,7 @@ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -4109,21 +4110,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4253,6 +4256,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4332,6 +4336,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,6534.7606,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Moderate nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Conservative diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index ea11518c..0424aebf 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3721,7 +3721,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3831,6 +3831,7 @@ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0,, blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0,, +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0,, blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0,, @@ -4109,21 +4110,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0,, direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0,, direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0,, -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0,, dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0,, dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0,, dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0,, electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, @@ -4253,6 +4256,7 @@ hydro,investment,2831.8236,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?buc hydro,investment,2718.3647,USD/kW,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,R&D,Conservative hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0,, hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0,, +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0,, hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0,, hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0,, hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, @@ -4332,6 +4336,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0,, micro CHP,investment,6099.1099,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0,, micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0,, +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0,, +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0,, +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0,, +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",,,, nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Advanced nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Moderate nuclear,CF,0.93,per unit,NREL/ATB-https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=ATB%2Felectricity%2Fcsv%2F2022%2F,Meaning of scenario and financial case: https://atb.nrel.gov/electricity/2024/definitions#scenarios,2022.0,Market,Conservative diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 7575df3a..2711f1b3 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,5591.3924,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3276,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.599,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,10630.1681,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 0dfccf4e..ffd559ec 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,4348.8608,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3301,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.604,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,9224.3988,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index cd6a7a6f..1378de3b 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,3106.3291,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3326,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,7841.7127,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 4a21fef9..aa55d6d8 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,2681.013,EUR/kW_MeOH,"Danish Energy Agency, input biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3339,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,7406.062,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 24ec2aa5..0978b2c9 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,2255.697,EUR/kW_MeOH,"Danish Energy Agency, input biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,6970.4113,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 0f4ec640..f47c60da 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,1904.4308,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,6534.7606,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 53fbb962..b8813b80 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -555,7 +555,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.257,tCO2/MWh_th,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `Scen_EmisCO2.xls`). Original value 71.4 g CO2/MJ",, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -632,6 +632,7 @@ biomass-to-methanol,investment,1553.1646,EUR/kW_MeOH,"Danish Energy Agency, inpu biomass-to-methanol,lifetime,20.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",97 Methanol from biomass gasif.: Technical lifetime,2020.0 blast furnace-basic oxygen furnace,FOM,14.18,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",123.67 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,coal-input,1.43,MWh_coal/t_steel,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio.",2020.0 +blast furnace-basic oxygen furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 blast furnace-basic oxygen furnace,investment,7637406.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",871.85 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘Avg BF-BOF’.,2020.0 blast furnace-basic oxygen furnace,lifetime,40.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 blast furnace-basic oxygen furnace,ore-input,1.539,t_ore/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF`,2020.0 @@ -850,21 +851,23 @@ direct firing solid fuels CC,VOM,0.3351,EUR/MWh,"Danish Energy Agency, inputs/te direct firing solid fuels CC,efficiency,1.0,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","312.b Direct firing Sold Fuels: Total efficiency, net, annual average",2019.0 direct firing solid fuels CC,investment,221.54,EUR/kW,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Nominal investment,2019.0 direct firing solid fuels CC,lifetime,15.0,years,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",312.b Direct firing Sold Fuels: Technical lifetime,2019.0 -direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 -direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 -direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 -direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, dry bulk carrier Capesize,FOM,4.0,%/year,"Based on https://www.hellenicshippingnews.com/capesize-freight-returns-below-operating-expense-levels-but-shipowners-reject-lay-ups/, accessed: 2022-12-03.","5000 USD/d OPEX, exchange rate: 1.15 USD = 1 EUR; absolute value calculate relative to investment cost.",2020.0 dry bulk carrier Capesize,capacity,180000.0,t,-,"DWT; corresponds to size of Capesize bulk carriers which have previously docked at the habour in Hamburg, Germany. Short of 200 kt limit for VLBCs.",2020.0 dry bulk carrier Capesize,investment,40000000.0,EUR,"Based on https://www.hellenicshippingnews.com/dry-bulk-carriers-in-high-demand-as-rates-keep-rallying/, accessed: 2022-12-03.","See figure for ‘Dry Bulk Newbuild Prices’, Capesize at end of 2020. Exchange rate: 1.15 USD = 1 EUR.",2020.0 dry bulk carrier Capesize,lifetime,25.0,years,"Based on https://mfame.guru/fall-life-expectancy-bulk-carriers/, accessed: 2022-12-03.",Expected lifetime.,2020.0 electric arc furnace,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 +electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 +electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 @@ -949,6 +952,7 @@ hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, fro hydro,investment,2274.8177,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions,2015.0 hydrogen direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","55.28 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ OPEX here to estimate DRI furnace cost.",2020.0 +hydrogen direct iron reduction furnace,economic_lifetime,20.0,years,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15).",,2020.0 hydrogen direct iron reduction furnace,electricity-input,1.03,MWh_el/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘DRI-EAF_100% green H2’ reduced by electricity demand of process ‘EAF’.,2020.0 hydrogen direct iron reduction furnace,hydrogen-input,2.1,MWh_H2/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2022-12-05). ","63 kg H2/t steel for process ‘DRI-EAF_100% green H2’ according to documentation (raw input files for MPP model list 73 kg H2 / t steel, which seems to high and is probably incorrect).",2020.0 hydrogen direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 @@ -1028,6 +1032,12 @@ micro CHP,efficiency,0.351,per unit,"Danish Energy Agency, inputs/technologydata micro CHP,efficiency-heat,0.609,per unit,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net",2015.0 micro CHP,investment,6099.1099,EUR/kW_th,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment,2015.0 micro CHP,lifetime,20.0,years,"Danish Energy Agency, inputs/technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime,2015.0 +natural gas direct iron reduction furnace,FOM,11.3,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +natural gas direct iron reduction furnace,gas-input,2.78,MWh_NG/t_hbi,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ",Original value 10 GJ/t_DRI.,2020.0 +natural gas direct iron reduction furnace,investment,4277858.0,EUR/t_HBI/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.","488.34 EUR/t_HBI output/a. MPP steel tool uses CAPEX/OPEX for technology ‘DRI-EAF_100% green H2’, substract ‘EAF’ CAPEX here to estimate DRI furnace cost.",2020.0 +natural gas direct iron reduction furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2025-04-15.",,2020.0 +natural gas direct iron reduction furnace,ore-input,1.59,t_ore/t_hbi,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",, nuclear,FOM,1.27,%/year,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs.",2023.0 nuclear,VOM,3.5464,EUR/MWh_e,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) .",2023.0 nuclear,efficiency,0.326,p.u.,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Based on heat rate of 10.45 MMBtu/MWh_e and 3.4095 MMBtu/MWh_th, i.e. 1/(10.45/3.4095) = 0.3260.",2023.0 From ba7434ef060247aa3ce60e3f6048917cca9cf115 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 12:50:09 +0200 Subject: [PATCH 15/30] review source of ethanol and cement data --- inputs/manual_input.csv | 24 ++++++++++++------------ outputs/US/costs_2020.csv | 24 ++++++++++++------------ outputs/US/costs_2025.csv | 24 ++++++++++++------------ outputs/US/costs_2030.csv | 24 ++++++++++++------------ outputs/US/costs_2035.csv | 24 ++++++++++++------------ outputs/US/costs_2040.csv | 24 ++++++++++++------------ outputs/US/costs_2045.csv | 24 ++++++++++++------------ outputs/US/costs_2050.csv | 24 ++++++++++++------------ outputs/costs_2020.csv | 24 ++++++++++++------------ outputs/costs_2025.csv | 24 ++++++++++++------------ outputs/costs_2030.csv | 24 ++++++++++++------------ outputs/costs_2035.csv | 24 ++++++++++++------------ outputs/costs_2040.csv | 24 ++++++++++++------------ outputs/costs_2045.csv | 24 ++++++++++++------------ outputs/costs_2050.csv | 24 ++++++++++++------------ 15 files changed, 180 insertions(+), 180 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 6290873f..353de925 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -427,18 +427,18 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement finishing,investment,2020,1142,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year -cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) -cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer) +cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year +cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement finishing,investment,2020,1142,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year +cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 5cacd515..07c92375 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3585,18 +3585,18 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index d1da304f..33f451b3 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3665,18 +3665,18 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 8768cd46..23c1592f 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3821,18 +3821,18 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index a12e2dc7..edc65784 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3845,18 +3845,18 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index b316c280..c10e6e29 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3845,18 +3845,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index f8564232..6adb1856 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3845,18 +3845,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 0424aebf..881282ae 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3845,18 +3845,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 2711f1b3..361e7110 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index ffd559ec..89d6350c 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 1378de3b..953cfbe0 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index aa55d6d8..a7b2e947 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 0978b2c9..227bc77c 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index f47c60da..1638f467 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index b8813b80..39dad779 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -646,18 +646,18 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (ICMDRYPRD01, ICM.Dry Process Production.01)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 From 8f4d0765b9c34704d9808d17acc0d448643f6a1e Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 19:04:05 +0200 Subject: [PATCH 16/30] Update inputs/manual_input.csv Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com> --- inputs/manual_input.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 353de925..439e3dc7 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -328,7 +328,7 @@ electric arc furnace,lifetime,2020,40,years,2020,"Model assumptions from MPP Ste electric arc furnace,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", electric arc furnace,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. electric arc furnace,hbi-input,2020,1,t_hbi/t_steel,2020,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. -electric arc furnace with scrap,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. +electric arc furnace with hbi and scrap,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. electric arc furnace with scrap,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." electric arc furnace with scrap,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. electric arc furnace with scrap,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", From cc9ee0712aa8884e92d05e0776f17ca770b0f06d Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 19:12:06 +0200 Subject: [PATCH 17/30] Update JRC file name Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com> --- inputs/manual_input.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 439e3dc7..fd06741d 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -427,7 +427,7 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year +cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", From 244aa4539f5a879a92eedc046be88afd78f30129 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 19:47:35 +0200 Subject: [PATCH 18/30] corrections --- inputs/manual_input.csv | 43 +++++++++++++++++++++-------------------- 1 file changed, 22 insertions(+), 21 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index fd06741d..7ba35d31 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -428,24 +428,25 @@ blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"M blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement finishing,investment,2020,1142,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year -cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. -ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2020,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,efficiency,2020,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,heat-input,2020,9999,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement finishing,investment,2020,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year +cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. +ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2020,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,efficiency,2020,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" \ No newline at end of file From 923c110fa63f7569d5b6add3c3622b08b9b8a462 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 19:56:27 +0200 Subject: [PATCH 19/30] update reference year for new technologies --- inputs/manual_input.csv | 46 ++++++++++++++++++++--------------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 7ba35d31..76d254dc 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -427,26 +427,26 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2020,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2020,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2020,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2020,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2020,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2020,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,heat-input,2020,9999,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement finishing,investment,2020,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year -cement finishing,FOM,2020,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,VOM,2020,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2020,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2020,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,lifetime,2020,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2020,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. -ethanol from starch crop,FOM,2020,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,VOM,2020,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,efficiency,2020,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2020,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,FOM,2020,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,VOM,2020,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,lifetime,2020,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,efficiency,2020,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" \ No newline at end of file +cement dry clinker,investment,2010,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year +cement dry clinker,FOM,2010,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2010,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2010,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2010,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2010,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,heat-input,2010,9999,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year +cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2006,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. +ethanol from starch crop,FOM,2010,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,efficiency,2010,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2010,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,FOM,2010,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,efficiency,2010,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" From 49c3b1d79175e8339b4abca61d33bd103284aaad Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Wed, 14 May 2025 20:12:07 +0200 Subject: [PATCH 20/30] corrections on energy inputs for cement and clinker --- inputs/manual_input.csv | 10 ++++----- outputs/US/costs_2020.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2025.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2030.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2035.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2040.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2045.csv | 47 ++++++++++++++++++++------------------- outputs/US/costs_2050.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2020.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2025.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2030.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2035.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2040.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2045.csv | 47 ++++++++++++++++++++------------------- outputs/costs_2050.csv | 47 ++++++++++++++++++++------------------- 15 files changed, 341 insertions(+), 327 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 76d254dc..37895595 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -431,14 +431,14 @@ cement dry clinker,investment,2010,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TI cement dry clinker,FOM,2010,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,VOM,2010,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,lifetime,2010,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2010,1.9,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2010,30,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,heat-input,2010,9999,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2010,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,electricity-input,2010,0.00694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,heat-input,2010,0.99440,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2006,174,Mwh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. ethanol from starch crop,FOM,2010,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 07c92375..0d6e58ef 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3585,18 +3585,19 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3854,11 +3855,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -3897,16 +3898,16 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 33f451b3..8f7bffba 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3665,18 +3665,19 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3940,11 +3941,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -3983,16 +3984,16 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 23c1592f..1b7f96ea 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3821,18 +3821,19 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4096,11 +4097,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -4139,16 +4140,16 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index edc65784..241896b8 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3845,18 +3845,19 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4120,11 +4121,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -4163,16 +4164,16 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index c10e6e29..6fc01a24 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3845,18 +3845,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4120,11 +4121,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -4163,16 +4164,16 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 6adb1856..05979222 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3845,18 +3845,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4120,11 +4121,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -4163,16 +4164,16 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 881282ae..5f76af6d 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3845,18 +3845,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4120,11 +4121,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, @@ -4163,16 +4164,16 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 361e7110..86b6e844 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 89d6350c..14010c89 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.833,MWh/tCO2,"Danish Energy Agency, inputs/technolog cement capture,heat-output,1.65,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 953cfbe0..cd988d21 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.72,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.54,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index a7b2e947..09cac2ab 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.69,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.51,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 227bc77c..46924daf 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 1638f467..ee2a3769 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 39dad779..cf47cf4f 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -646,18 +646,19 @@ cement capture,heat-input,0.66,MWh/tCO2,"Danish Energy Agency, inputs/technology cement capture,heat-output,1.48,MWh/tCO2,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,30.0,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,1.9,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,174.0,Mwh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,investment,1142.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -861,11 +862,11 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 @@ -904,16 +905,16 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_15_TECHS_CHP_SUP_IND.xlsx` and `SubRES_15_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 +ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 From 6d0ece0b5bad53524e1ad144fa42381cb40998fe Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 14:12:35 +0200 Subject: [PATCH 21/30] Update details on cement finishing inputs Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com> --- inputs/manual_input.csv | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 37895595..518c239b 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -435,10 +435,10 @@ cement dry clinker,gas-input,2010,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU- cement dry clinker,electricity-input,2010,0.00694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,heat-input,2010,0.99440,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year -cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", +cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", +cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement." +cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values " cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. ethanol from starch crop,FOM,2010,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production From 6a25fd566df5cc03432c57bab16d620300326d4d Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 14:13:27 +0200 Subject: [PATCH 22/30] Update dry clinker reference year, investment and source details Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com> --- inputs/manual_input.csv | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 518c239b..ed671a6d 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -427,13 +427,13 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2010,14269,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2010,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2010,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2010,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2010,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,electricity-input,2010,0.00694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,heat-input,2010,0.99440,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year +cement dry clinker,FOM,2006,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2006,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2006,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 0.0058 PJ per Mt clinker" +cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 0.25 PJ per Mt clinker" +cement dry clinker,heat-input,2006,0.94440,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 3.4 PJ per Mt clinker" cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", From 53d093c58827e6a4d87f97107f494eb6a659a986 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 14:35:08 +0200 Subject: [PATCH 23/30] update fixom for ethanol production Co-authored-by: Johannes HAMPP <42553970+euronion@users.noreply.github.com> --- inputs/manual_input.csv | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index ed671a6d..100e0d17 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -440,8 +440,8 @@ cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement." cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values " cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production. -ethanol from starch crop,FOM,2010,14,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,FOM,2010,13.80,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 677.087 INVCOST~2020" ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,efficiency,2010,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" From b3885b12595f882933ba78725257c67e14eb8dd4 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 15:27:06 +0200 Subject: [PATCH 24/30] update cost values ethanol and details on sources --- inputs/manual_input.csv | 30 +++++++++++++++++++++--------- outputs/US/costs_2020.csv | 28 +++++++++++++++++----------- outputs/US/costs_2025.csv | 28 +++++++++++++++++----------- outputs/US/costs_2030.csv | 28 +++++++++++++++++----------- outputs/US/costs_2035.csv | 28 +++++++++++++++++----------- outputs/US/costs_2040.csv | 28 +++++++++++++++++----------- outputs/US/costs_2045.csv | 28 +++++++++++++++++----------- outputs/US/costs_2050.csv | 28 +++++++++++++++++----------- outputs/costs_2020.csv | 28 +++++++++++++++++----------- outputs/costs_2025.csv | 28 +++++++++++++++++----------- outputs/costs_2030.csv | 28 +++++++++++++++++----------- outputs/costs_2035.csv | 28 +++++++++++++++++----------- outputs/costs_2040.csv | 28 +++++++++++++++++----------- outputs/costs_2045.csv | 28 +++++++++++++++++----------- outputs/costs_2050.csv | 28 +++++++++++++++++----------- 15 files changed, 259 insertions(+), 163 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 100e0d17..7a98ad6b 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -431,22 +431,34 @@ cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU- cement dry clinker,FOM,2006,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,VOM,2006,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", cement dry clinker,lifetime,2006,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 0.0058 PJ per Mt clinker" -cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 0.25 PJ per Mt clinker" -cement dry clinker,heat-input,2006,0.94440,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)","Original values 3.4 PJ per Mt clinker" +cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker +cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker +cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement." -cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)","Based on inputs for DE (major EU producer) with original values " +cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement. +cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2010,677,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,FOM,2010,13.80,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 677.087 INVCOST~2020" +ethanol from starch crop,investment,2010,819.63,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,investment,2020,677.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,investment,2025,614.72,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,investment,2030,570.18,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,FOM,2010,11.4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020" +ethanol from starch crop,FOM,2020,13.8,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020" +ethanol from starch crop,FOM,2025,15.2,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020" +ethanol from starch crop,FOM,2030,16.4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030" ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,efficiency,2010,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2010,501,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,FOM,2010,16,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,investment,2010,659.33,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,investment,2020,501.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,investment,2025,454.93,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,investment,2030,421.97,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. +ethanol from sugar crops,FOM,2010,13.57,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010" +ethanol from sugar crops,FOM,2020,16.43,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020" +ethanol from sugar crops,FOM,2025,18.09,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025" +ethanol from sugar crops,FOM,2030,19.51,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030" ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production ethanol from sugar crops,efficiency,2010,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 0d6e58ef..ef370b47 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3587,15 +3587,15 @@ cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -3898,15 +3898,21 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,677.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,501.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 8f7bffba..dacd51b4 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3667,15 +3667,15 @@ cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -3984,15 +3984,21 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,614.72,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,454.93,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 1b7f96ea..ea063742 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3823,15 +3823,15 @@ cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -4140,15 +4140,21 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 241896b8..fa2f7d3d 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3847,15 +3847,15 @@ cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -4164,15 +4164,21 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 6fc01a24..bb4c91ef 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3847,15 +3847,15 @@ cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -4164,15 +4164,21 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 05979222..c126d784 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3847,15 +3847,15 @@ cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -4164,15 +4164,21 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 5f76af6d..be9dc654 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3847,15 +3847,15 @@ cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0,, cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, @@ -4164,15 +4164,21 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0,, electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0,, electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0,, -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0,, +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 86b6e844..e5542e7e 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -648,15 +648,15 @@ cement capture,investment,3000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.5773,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2762,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1900.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,677.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,501.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 14010c89..eb221ce8 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -648,15 +648,15 @@ cement capture,investment,2800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.5874,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.264,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,1400.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,614.72,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,454.93,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index cd988d21..286c7bd5 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -648,15 +648,15 @@ cement capture,investment,2600000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.6217,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2228,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,875.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 09cac2ab..615a77b6 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -648,15 +648,15 @@ cement capture,investment,2400000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.6374,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.2039,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,775.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 46924daf..5979adf2 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -648,15 +648,15 @@ cement capture,investment,2200000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.6532,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1849,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,675.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index ee2a3769..0f017491 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -648,15 +648,15 @@ cement capture,investment,2000000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.6763,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1571,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,575.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index cf47cf4f..256c46ce 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -648,15 +648,15 @@ cement capture,investment,1800000.0,EUR/(tCO2/h),"Danish Energy Agency, inputs/t cement capture,lifetime,25.0,years,"Danish Energy Agency, inputs/technology_data_for_carbon_capture_transport_storage.xlsx",401.c Post comb - Cement kiln,2020.0 cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0069,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,heat-input,0.9944,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,investment,14269.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 +cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 +cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 @@ -905,15 +905,21 @@ electrolysis small,efficiency,0.6994,per unit,"Danish Energy Agency, inputs/data electrolysis small,efficiency-heat,0.1294,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: - hereof recoverable for district heating,2020.0 electrolysis small,investment,475.0,EUR/kW_e,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Specific investment,2020.0 electrolysis small,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx",86 AEC 10 MW: Technical lifetime of plant,2020.0 -ethanol from starch crop,FOM,14.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and +Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production.,2020.0 +ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.0,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 +ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 From 2bbc94f7015b997fb13900185798de5d998edd73 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 15:40:17 +0200 Subject: [PATCH 25/30] update cement inputs --- inputs/manual_input.csv | 4 ++-- outputs/US/costs_2020.csv | 4 ++-- outputs/US/costs_2025.csv | 4 ++-- outputs/US/costs_2030.csv | 4 ++-- outputs/US/costs_2035.csv | 4 ++-- outputs/US/costs_2040.csv | 4 ++-- outputs/US/costs_2045.csv | 4 ++-- outputs/US/costs_2050.csv | 4 ++-- outputs/costs_2020.csv | 4 ++-- outputs/costs_2025.csv | 4 ++-- outputs/costs_2030.csv | 4 ++-- outputs/costs_2035.csv | 4 ++-- outputs/costs_2040.csv | 4 ++-- outputs/costs_2045.csv | 4 ++-- outputs/costs_2050.csv | 4 ++-- 15 files changed, 30 insertions(+), 30 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 7a98ad6b..658b6331 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -437,8 +437,8 @@ cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIME cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,electricity-input,2006,0.2043,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement. -cement finishing,clinker-input,2006,0.7717,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. +cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) ethanol from starch crop,investment,2010,819.63,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,investment,2020,677.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index ef370b47..dffc5b13 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3594,8 +3594,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index dacd51b4..b0d645ca 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3674,8 +3674,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index ea063742..4da6a9b1 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3830,8 +3830,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index fa2f7d3d..e93e9394 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3854,8 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index bb4c91ef..c00a1308 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3854,8 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index c126d784..a5f2f4e7 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3854,8 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index be9dc654..ec62362c 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3854,8 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index e5542e7e..bb12e93f 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index eb221ce8..bb088310 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 286c7bd5..91329b27 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 615a77b6..401af912 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 5979adf2..d4a1a797 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 0f017491..0f99656f 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 256c46ce..b3001a76 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -655,8 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.7717,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.2043,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `Input` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original values 0.7354 PJ per Mt cement.,2020.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 From c7cfb7c9d7e7675f3073484c95d555185b76e61f Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 15:47:36 +0200 Subject: [PATCH 26/30] update cement finishing slag input --- inputs/manual_input.csv | 1 + outputs/US/costs_2020.csv | 3 ++- outputs/US/costs_2025.csv | 3 ++- outputs/US/costs_2030.csv | 3 ++- outputs/US/costs_2035.csv | 3 ++- outputs/US/costs_2040.csv | 3 ++- outputs/US/costs_2045.csv | 3 ++- outputs/US/costs_2050.csv | 3 ++- outputs/costs_2020.csv | 3 ++- outputs/costs_2025.csv | 3 ++- outputs/costs_2030.csv | 3 ++- outputs/costs_2035.csv | 3 ++- outputs/costs_2040.csv | 3 ++- outputs/costs_2045.csv | 3 ++- outputs/costs_2050.csv | 3 ++- 15 files changed, 29 insertions(+), 14 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 658b6331..ccc961bb 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -439,6 +439,7 @@ cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,clinker-input,2006,0.194,t_slag/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) ethanol from starch crop,investment,2010,819.63,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production ethanol from starch crop,investment,2020,677.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index dffc5b13..17a4a6d3 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3594,7 +3594,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index b0d645ca..fb97c03e 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3674,7 +3674,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 4da6a9b1..b2a82719 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3830,7 +3830,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index e93e9394..fd5a10b3 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3854,7 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index c00a1308..ba09f9f4 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3854,7 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index a5f2f4e7..bc99cd0c 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3854,7 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index ec62362c..baad6994 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3854,7 +3854,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index bb12e93f..e62d1a49 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index bb088310..9fd87d3e 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 91329b27..8aa6e00f 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 401af912..268a7e4e 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index d4a1a797..fbc56dfe 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 0f99656f..2fe4b457 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index b3001a76..5093ce9d 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -655,7 +655,8 @@ cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Fu cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement finishing,clinker-input,0.194,"t_cl/t_cement; and +t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 From 1b62349f225c21984ee5591bebd108ffae700580 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Thu, 15 May 2025 16:42:40 +0200 Subject: [PATCH 27/30] update ethanol costs and currency year for JRC --- inputs/manual_input.csv | 74 +++++++++++++++++++-------------------- outputs/US/costs_2020.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2025.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2030.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2035.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2040.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2045.csv | 66 ++++++++++++++++++---------------- outputs/US/costs_2050.csv | 66 ++++++++++++++++++---------------- outputs/costs_2020.csv | 66 ++++++++++++++++++---------------- outputs/costs_2025.csv | 66 ++++++++++++++++++---------------- outputs/costs_2030.csv | 66 ++++++++++++++++++---------------- outputs/costs_2035.csv | 66 ++++++++++++++++++---------------- outputs/costs_2040.csv | 66 ++++++++++++++++++---------------- outputs/costs_2045.csv | 66 ++++++++++++++++++---------------- outputs/costs_2050.csv | 66 ++++++++++++++++++---------------- 15 files changed, 541 insertions(+), 457 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 37a8796e..62e044a0 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -427,42 +427,42 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2006,4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2006,5,EUR/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2006,30,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker -cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker -cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker -cement finishing,investment,2006,87600,EUR/t_cement/h,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year -cement finishing,FOM,2006,30,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,VOM,2006,3,EUR/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. -cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,clinker-input,2006,0.194,t_slag/t_cement,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,lifetime,2006,25,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2010,819.63,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,investment,2020,677.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,investment,2025,614.72,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,investment,2030,570.18,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,FOM,2010,11.4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020" -ethanol from starch crop,FOM,2020,13.8,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020" -ethanol from starch crop,FOM,2025,15.2,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020" -ethanol from starch crop,FOM,2030,16.4,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030" -ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,efficiency,2010,0.58,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2010,659.33,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,investment,2020,501.09,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,investment,2025,454.93,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,investment,2030,421.97,EUR/MW_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production. -ethanol from sugar crops,FOM,2010,13.57,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010" -ethanol from sugar crops,FOM,2020,16.43,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020" -ethanol from sugar crops,FOM,2025,18.09,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025" -ethanol from sugar crops,FOM,2030,19.51,%/year,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030" -ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,lifetime,2010,20,years,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,efficiency,2010,0.45,p.u.,2020,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year +cement dry clinker,FOM,2006,4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,VOM,2006,5,EUR/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,lifetime,2006,30,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", +cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker +cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker +cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker +cement finishing,investment,2006,87600,EUR/t_cement/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year +cement finishing,FOM,2006,30,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", +cement finishing,VOM,2006,3,EUR/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", +cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. +cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,slag-input,2006,0.194,t_slag/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2006,25,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2010,819630,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2020,677090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2025,614720,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2030,570180,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" +ethanol from starch crop,FOM,2010,11.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2020,13.8,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2025,15.2,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2030,16.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" +ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM" +ethanol from starch crop,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production +ethanol from starch crop,efficiency,2010,0.58,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2010,659330,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010" +ethanol from sugar crops,investment,2020,501090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020" +ethanol from sugar crops,investment,2025,454930,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025" +ethanol from sugar crops,investment,2030,421970,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030" +ethanol from sugar crops,FOM,2010,13.57,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010" +ethanol from sugar crops,FOM,2020,16.43,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020" +ethanol from sugar crops,FOM,2025,18.09,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025" +ethanol from sugar crops,FOM,2030,19.51,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030" +ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM" +ethanol from sugar crops,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production +ethanol from sugar crops,efficiency,2010,0.45,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" ethanol carbon capture retrofit,FOM,2030,7,%/year,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16", ethanol carbon capture retrofit,capture_rate,2030,0.94,per unit,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-16, accessed 2025-04-16", ethanol carbon capture retrofit,electricity-input,2030,0.12,MWh/tCO2,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16", @@ -484,4 +484,4 @@ steel carbon capture retrofit,capture_rate,2030,0.9,per unit,2019,"National Petr steel carbon capture retrofit,electricity-input,2030,0.16,MWh/tCO2,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16", steel carbon capture retrofit,gas-input,2030,0.76,MWh/tCO2,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16", steel carbon capture retrofit,investment,2030,3536679,USD/(tCO2/h),2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 1342 million USD, CO2 Volume captured 3324000 t/year" -steel carbon capture retrofit,lifetime,2030,20,years,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16", \ No newline at end of file +steel carbon capture retrofit,lifetime,2030,20,years,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16", diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index e2dd99f9..b4a75d34 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3596,20 +3596,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3915,22 +3915,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,677.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,501.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 4d2db5ea..8fb4e7b1 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3676,20 +3676,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4001,22 +4001,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,614.72,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,454.93,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index b5783395..87657712 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3832,20 +3832,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4157,22 +4157,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 8a7d9b42..1e483ad4 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,22 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index e89bdb5a..3a421572 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,22 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index c838aa05..cb7d43e3 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,22 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 7abe2601..32d9dcbd 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0,, -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0,, -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0,, -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,22 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0,, -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0,, -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0,, -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 481a723f..52796521 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,677.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,501.09,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 75ec314a..b844c0e2 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,614.72,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,454.93,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 9e1114a6..38b807a6 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 5fbe73da..965a84e2 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 47de9807..08200c4f 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 38ff3015..e92b066c 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 4db71ff4..49b21ee0 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,VOM,5.0,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2020.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2020.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2020.0 -cement dry clinker,investment,1095000.0,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2020.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2020.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,VOM,3.0,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2020.0 -cement finishing,clinker-input,0.194,"t_cl/t_cement; and -t_slag/t_cement","JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2020.0 -cement finishing,investment,87600.0,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2020.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2020.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,22 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 FIXOM and 819.6322825 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 677.0875 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 614.7242 INVCOST~2020; and -Suited for USA and European production, original values 93.66192 FIXOM and 570.1790 INVCOST~2030",2020.0 -ethanol from starch crop,VOM,24.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from starch crop,investment,570.18,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2020.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 FIXOM and 659.325843 INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 FIXOM and 501.0876 INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 FIXOM and 454.9348 INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 FIXOM and 421.9685 INVCOST~2030",2020.0 -ethanol from sugar crops,VOM,21.9,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2020.0 -ethanol from sugar crops,investment,421.97,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production.,2020.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2020.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and +Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and +Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 From d3f68504aa600e33411de9057d61634a722da19c Mon Sep 17 00:00:00 2001 From: euronion Date: Thu, 15 May 2025 18:18:08 +0200 Subject: [PATCH 28/30] Add source information on details (stochimetry, currency year) --- inputs/manual_input.csv | 74 +++++++++++++++++++-------------------- outputs/US/costs_2020.csv | 52 +++++++++++++-------------- outputs/US/costs_2025.csv | 52 +++++++++++++-------------- outputs/US/costs_2030.csv | 52 +++++++++++++-------------- outputs/US/costs_2035.csv | 52 +++++++++++++-------------- outputs/US/costs_2040.csv | 52 +++++++++++++-------------- outputs/US/costs_2045.csv | 52 +++++++++++++-------------- outputs/US/costs_2050.csv | 52 +++++++++++++-------------- outputs/costs_2020.csv | 52 +++++++++++++-------------- outputs/costs_2025.csv | 52 +++++++++++++-------------- outputs/costs_2030.csv | 52 +++++++++++++-------------- outputs/costs_2035.csv | 52 +++++++++++++-------------- outputs/costs_2040.csv | 52 +++++++++++++-------------- outputs/costs_2045.csv | 52 +++++++++++++-------------- outputs/costs_2050.csv | 52 +++++++++++++-------------- 15 files changed, 401 insertions(+), 401 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 62e044a0..06e7538a 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -386,7 +386,7 @@ bioethanol crops,fuel,2020,54.6434100368518,EUR/MWhth,2010,"JRC ENSPRESO ca avg bioethanol crops,fuel,2030,72.477665790641,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2040,75.7178710725453,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", bioethanol crops,fuel,2050,78.995541440487,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM", -bioethanol crops,CO2 intensity,2020,0.12894,tCO2/MWh_th,,,Based on stochiometric composition and considering 26.7 MJ/kg energy content. +bioethanol crops,CO2 intensity,2020,0.12894,tCO2/MWh_th,,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg)." biodiesel crops,fuel,2020,84.585016773297,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2030,121.021431275337,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", biodiesel crops,fuel,2040,120.926387801857,EUR/MWhth,2010,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM", @@ -427,42 +427,42 @@ blast furnace-basic oxygen furnace,economic_lifetime,2020,20,years,2020,"Mission blast furnace-basic oxygen furnace,coal-input,2020,1.43,MWh_coal/t_steel,2020,"Mission Possible Partnership (2022): Steel Model Documentation (https://mpp.gitbook.io/mpp-steel-model/model-overview/model-components/technologies, accessed: 2025-04-15). ","Based on process ‘Avg BF-BOF` using 195 kg_PCI/t_HM (PCI = Pulverized Coal Injected; HM = Hot Metal) as substitute for coke, 24 MJ/kg as LHV for coal and 1 : 1.1 as HM-to-steel ratio." blast furnace-basic oxygen furnace,ore-input,2020,1.539,t_ore/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` blast furnace-basic oxygen furnace,scrap-input,2020,0.051,t_scrap/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2025-04-15). ",Based on process ‘Avg BF-BOF` -cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year -cement dry clinker,FOM,2006,4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,VOM,2006,5,EUR/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,lifetime,2006,30,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)", -cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker -cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker -cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker -cement finishing,investment,2006,87600,EUR/t_cement/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year -cement finishing,FOM,2006,30,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,VOM,2006,3,EUR/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)", -cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. -cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,slag-input,2006,0.194,t_slag/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -cement finishing,lifetime,2006,25,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2010,819630,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2020,677090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2025,614720,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2030,570180,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" -ethanol from starch crop,FOM,2010,11.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2020,13.8,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2025,15.2,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2030,16.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" -ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM" -ethanol from starch crop,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production -ethanol from starch crop,efficiency,2010,0.58,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2010,659330,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010" -ethanol from sugar crops,investment,2020,501090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020" -ethanol from sugar crops,investment,2025,454930,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025" -ethanol from sugar crops,investment,2030,421970,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030" -ethanol from sugar crops,FOM,2010,13.57,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010" -ethanol from sugar crops,FOM,2020,16.43,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020" -ethanol from sugar crops,FOM,2025,18.09,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025" -ethanol from sugar crops,FOM,2030,19.51,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030" -ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM" -ethanol from sugar crops,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production -ethanol from sugar crops,efficiency,2010,0.45,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +cement dry clinker,investment,2006,1095000,EUR/t_clinker/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year +cement dry clinker,FOM,2006,4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.", +cement dry clinker,VOM,2006,5,EUR/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.", +cement dry clinker,lifetime,2006,30,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.", +cement dry clinker,gas-input,2006,0.00016,MWh_NG/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker +cement dry clinker,electricity-input,2006,0.0694,MWh_el/t_clinker,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker +cement dry clinker,heat-input,2006,0.9444,MWh_th/t_CO2,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker +cement finishing,investment,2006,87600,EUR/t_cement/h,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year +cement finishing,FOM,2006,30,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.", +cement finishing,VOM,2006,3,EUR/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.", +cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement. +cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) +cement finishing,slag-input,2006,0.194,t_slag/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) +cement finishing,lifetime,2006,25,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) +ethanol from starch crop,investment,2010,819630,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2020,677090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2025,614720,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" +ethanol from starch crop,investment,2030,570180,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" +ethanol from starch crop,FOM,2010,11.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2020,13.8,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2025,15.2,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" +ethanol from starch crop,FOM,2030,16.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" +ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM" +ethanol from starch crop,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production +ethanol from starch crop,efficiency,2010,0.58,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2010,659330,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010" +ethanol from sugar crops,investment,2020,501090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020" +ethanol from sugar crops,investment,2025,454930,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025" +ethanol from sugar crops,investment,2030,421970,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030" +ethanol from sugar crops,FOM,2010,13.57,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010" +ethanol from sugar crops,FOM,2020,16.43,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020" +ethanol from sugar crops,FOM,2025,18.09,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025" +ethanol from sugar crops,FOM,2030,19.51,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030" +ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM" +ethanol from sugar crops,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production +ethanol from sugar crops,efficiency,2010,0.45,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" ethanol carbon capture retrofit,FOM,2030,7,%/year,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16", ethanol carbon capture retrofit,capture_rate,2030,0.94,per unit,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-16, accessed 2025-04-16", ethanol carbon capture retrofit,electricity-input,2030,0.12,MWh/tCO2,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16", diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index b4a75d34..c90b7b69 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3466,7 +3466,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3596,20 +3596,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -3915,28 +3915,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 8fb4e7b1..82c7636e 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3546,7 +3546,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3676,20 +3676,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4001,28 +4001,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 87657712..a4a2c58f 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3702,7 +3702,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3832,20 +3832,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4157,28 +4157,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 1e483ad4..4cd0dd58 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3726,7 +3726,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,28 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 3a421572..644e8c5d 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3726,7 +3726,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,28 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index cb7d43e3..58107a7c 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3726,7 +3726,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,28 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 32d9dcbd..038e01ab 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3726,7 +3726,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0,, biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0,, biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0,, -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content.,,, +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).",,, bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0,, biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0,, @@ -3856,20 +3856,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, cement carbon capture retrofit,investment,2608428.9904,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0,, cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0,, -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0,, -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0,, -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0,, -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0,, -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0,, -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0,, -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0,, +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0,, +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0,, +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0,, +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0,, +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0,, +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0,, +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0,, +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0,, central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0,, central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0,, central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0,, @@ -4181,28 +4181,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 52796521..f44cb90a 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,96.2077,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,62.1519,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.1,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index b844c0e2..652328f2 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,167272.82,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,116.9293,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,72.2943,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2102,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.15,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 38b807a6..5e67141a 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,154405.68,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.6508,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,82.4367,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.6561,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.2,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 965a84e2..7ef1039a 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,147972.11,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5968,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,84.2795,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.4868,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.25,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 08200c4f..677b0b06 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,141538.54,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,137.5427,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,86.1222,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.3175,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.3,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index e92b066c..3e34d25d 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,135104.97,EUR/kW_biochar,"Danish Energy Agency, inp biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,134.6872,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,87.9862,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.5715,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.35,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 49b21ee0..da94e623 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -560,7 +560,7 @@ biochar pyrolysis,investment,128671.4,EUR/kW_biochar,"Danish Energy Agency, inpu biochar pyrolysis,lifetime,25.0,years,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: Technical lifetime",2020.0 biochar pyrolysis,yield-biochar,0.0582,ton biochar/MWh_feedstock,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","105 Slow pyrolysis, Straw: yield biochar",2020.0 biodiesel crops,fuel,131.8317,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2010.0 -bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,Based on stochiometric composition and considering 26.7 MJ/kg energy content., +bioethanol crops,CO2 intensity,0.1289,tCO2/MWh_th,,"CO2 released during fermentation of bioethanol crops, based on stochiometric composition: C6H12O6 -> 2 C2H5OH + 2 CO2 , i.e. 1 kg ethanol → ~0.956 kg CO₂ (from fermentation) → 0.1289 tCO₂/MWh (with LHV = 26.7 MJ/kg).", bioethanol crops,fuel,89.8502,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2010.0 biogas,CO2 stored,0.0868,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",, biogas,FOM,7.7769,%/year,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","81 Biogas, Basic plant, small: Total O&M",2020.0 @@ -657,20 +657,20 @@ cement carbon capture retrofit,electricity-input,0.16,MWh/tCO2,"National Petrole cement carbon capture retrofit,gas-input,0.76,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 cement carbon capture retrofit,investment,2587727.173,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 247 million USD, CO2 Volume captured 842000 t/year",2019.0 cement carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.25 PJ per Mt clinker,2015.0 -cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 0.0058 PJ per Mt clinker,2015.0 -cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original values 3.4 PJ per Mt clinker,2015.0 -cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",Original value 125 EUR/t/year,2015.0 -cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01)",,2015.0 -cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",,2015.0 -cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 -cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Original value 10 EUR/t/year,2015.0 -cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 -cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing)",Based on inputs for DE (major EU producer),2015.0 +cement dry clinker,FOM,4.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,VOM,5.2911,EUR/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement dry clinker,electricity-input,0.0694,MWh_el/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.25 PJ per Mt clinker,2015.0 +cement dry clinker,gas-input,0.0002,MWh_NG/t_clinker,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 0.0058 PJ per Mt clinker,2015.0 +cement dry clinker,heat-input,0.9444,MWh_th/t_CO2,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original values 3.4 PJ per Mt clinker,2015.0 +cement dry clinker,investment,1158752.6816,EUR/t_clinker/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 125 EUR/t/year,2015.0 +cement dry clinker,lifetime,30.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `IND` (ICMDRYPRD01, ICM.Dry Process Production.01) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,FOM,30.0,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,VOM,3.1747,EUR/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",,2015.0 +cement finishing,clinker-input,0.656,t_cl/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,electricity-input,0.1736,MWh_el/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) with original value 0.6251 PJ per Mt cement.,2015.0 +cement finishing,investment,92700.2145,EUR/t_cement/h,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Original value 10 EUR/t/year,2015.0 +cement finishing,lifetime,25.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 +cement finishing,slag-input,0.194,t_slag/t_cement,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer),2015.0 central air-sourced heat pump,FOM,0.2336,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M",2015.0 central air-sourced heat pump,VOM,2.8255,EUR/MWh_th,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M",2015.0 central air-sourced heat pump,efficiency,3.4,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency, net, name plate",2015.0 @@ -922,28 +922,28 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops )",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value454.9348 MEUR/GW INVCOST~2025; and +Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops )",Suited for Brazilian production,2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 From e650d7b87fc1a72580b6b7abfce7eaaa6bb3730c Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Fri, 16 May 2025 11:23:44 +0200 Subject: [PATCH 29/30] fix further description bug on ethanol production technologies --- inputs/manual_input.csv | 44 +++++++++++++++++++-------------------- outputs/US/costs_2020.csv | 32 +++++++++------------------- outputs/US/costs_2025.csv | 32 +++++++++------------------- outputs/US/costs_2030.csv | 32 +++++++++------------------- outputs/US/costs_2035.csv | 32 +++++++++------------------- outputs/US/costs_2040.csv | 32 +++++++++------------------- outputs/US/costs_2045.csv | 32 +++++++++------------------- outputs/US/costs_2050.csv | 32 +++++++++------------------- outputs/costs_2020.csv | 32 +++++++++------------------- outputs/costs_2025.csv | 32 +++++++++------------------- outputs/costs_2030.csv | 32 +++++++++------------------- outputs/costs_2035.csv | 32 +++++++++------------------- outputs/costs_2040.csv | 32 +++++++++------------------- outputs/costs_2045.csv | 32 +++++++++------------------- outputs/costs_2050.csv | 32 +++++++++------------------- 15 files changed, 162 insertions(+), 330 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 06e7538a..3eadfadd 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -441,28 +441,28 @@ cement finishing,electricity-input,2006,0.1736,MWh_el/t_cement,2015,"JRC, 01_JRC cement finishing,clinker-input,2006,0.656,t_cl/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) cement finishing,slag-input,2006,0.194,t_slag/t_cement,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx`, Sheet `IND_Trans` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) cement finishing,lifetime,2006,25,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` (ICMFINPRO01, Cement finishing) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Based on inputs for DE (major EU producer) -ethanol from starch crop,investment,2010,819630,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2020,677090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2025,614720,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" -ethanol from starch crop,investment,2030,570180,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" -ethanol from starch crop,FOM,2010,11.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2020,13.8,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2025,15.2,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020" -ethanol from starch crop,FOM,2030,16.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030" -ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM" -ethanol from starch crop,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production -ethanol from starch crop,efficiency,2010,0.58,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" -ethanol from sugar crops,investment,2010,659330,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010" -ethanol from sugar crops,investment,2020,501090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020" -ethanol from sugar crops,investment,2025,454930,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025" -ethanol from sugar crops,investment,2030,421970,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030" -ethanol from sugar crops,FOM,2010,13.57,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010" -ethanol from sugar crops,FOM,2020,16.43,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020" -ethanol from sugar crops,FOM,2025,18.09,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025" -ethanol from sugar crops,FOM,2030,19.51,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030" -ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM" -ethanol from sugar crops,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production -ethanol from sugar crops,efficiency,2010,0.45,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from starch crop,investment,2010,819630,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from starch crop,investment,2020,677090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from starch crop,investment,2025,614720,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from starch crop,investment,2030,570180,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from starch crop,FOM,2010,11.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from starch crop,FOM,2020,13.8,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from starch crop,FOM,2025,15.2,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from starch crop,FOM,2030,16.4,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from starch crop,VOM,2010,24.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM" +ethanol from starch crop,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production +ethanol from starch crop,efficiency,2010,0.58,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" +ethanol from sugar crops,investment,2010,659330,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from sugar crops,investment,2020,501090,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from sugar crops,investment,2025,454930,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from sugar crops,investment,2030,421970,EUR/MW_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW" +ethanol from sugar crops,FOM,2010,13.57,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from sugar crops,FOM,2020,16.43,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from sugar crops,FOM,2025,18.09,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from sugar crops,FOM,2030,19.51,%/year,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year" +ethanol from sugar crops,VOM,2010,21.9,EUR/MWh_eth,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM" +ethanol from sugar crops,lifetime,2010,20,years,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production +ethanol from sugar crops,efficiency,2010,0.45,p.u.,2015,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t" ethanol carbon capture retrofit,FOM,2030,7,%/year,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16", ethanol carbon capture retrofit,capture_rate,2030,0.94,per unit,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-16, accessed 2025-04-16", ethanol carbon capture retrofit,electricity-input,2030,0.12,MWh/tCO2,2019,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16", diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index c90b7b69..944162f9 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3915,28 +3915,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 82c7636e..0ba39f7f 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -4001,28 +4001,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index a4a2c58f..44b4896d 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4157,28 +4157,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 4cd0dd58..3055f5ed 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4181,28 +4181,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 644e8c5d..c77cc067 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4181,28 +4181,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 58107a7c..a4513ac2 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4181,28 +4181,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 038e01ab..8fab935d 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4181,28 +4181,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0,, ethanol carbon capture retrofit,investment,935988.2129,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0,, ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0,, -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0,, -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0,, -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0,, +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0,, +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0,, +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0,, +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0,, +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0,, +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0,, fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0,, fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0,, fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index f44cb90a..d71863c4 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,13.8,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,716511.2815,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,16.43,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,530264.2751,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 652328f2..388cc978 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,15.2,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,650509.9986,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,18.09,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,481416.7648,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 5e67141a..fc113eef 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 7ef1039a..9cfceab1 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 677b0b06..59559cea 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 3e34d25d..ecc66443 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index da94e623..fb38462e 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -922,28 +922,16 @@ ethanol carbon capture retrofit,capture_rate,0.94,per unit,"National Petroleum C ethanol carbon capture retrofit,electricity-input,0.12,MWh/tCO2,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-20, accessed 2025-04-16",,2019.0 ethanol carbon capture retrofit,investment,928559.735,USD/(tCO2/h),"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-18, accessed 2025-04-16","Capital cost 36 million USD, CO2 Volume captured 342000 t/year",2019.0 ethanol carbon capture retrofit,lifetime,20.0,years,"National Petroleum Council, Meeting the Dual Challenge - A Roadmap to At-Scale Deployment of Carbon Capture, Use, and Storage: https://dualchallenge.npc.org/files/CCUS-Chap_2-030521.pdf, p2-21, accessed 2025-04-16",,2019.0 -ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 -ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 819.6322825 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 677.0875 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 614.7242 MEUR/GW INVCOST~2020; and -Suited for USA and European production, original values 93.66192 MEUR/GW FIXOM and 570.1790 MEUR/GW INVCOST~2030",2015.0 -ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 -ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original values 82.30896 MEUR/GW FIXOM and 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 -ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 -ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 659.325843 MEUR/GW INVCOST~2010; and -Suited for Brazilian production, original value 501.0876 MEUR/GW INVCOST~2020; and -Suited for Brazilian production, original value 454.9348 MEUR/GW INVCOST~2025; and -Suited for Brazilian production, original value 421.9685 MEUR/GW INVCOST~2030",2015.0 -ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx` and `SubRES_10_TECHS_CHP_SUP_IND_Trans.xlsx` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 +ethanol from starch crop,FOM,16.4,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from starch crop,VOM,26.3497,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value 6.93 MEUR/PJ VAROM",2015.0 +ethanol from starch crop,efficiency,0.58,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production. Converted from 0.35 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from starch crop,investment,603376.8073,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from starch crop,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH101, Ethanol production from starch crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for USA and European production,2015.0 +ethanol from sugar crops,FOM,19.51,%/year,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original values FIXOM in MEUR/GW divided by INVCOST for the corresponding year",2015.0 +ethanol from sugar crops,VOM,23.1751,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production, original value 6.09 MEUR/PJ VAROM",2015.0 +ethanol from sugar crops,efficiency,0.45,p.u.,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for Brazilian production. Converted from 0.292 t_crop/t_eth, LHV_crop = 16.1 GJ/t, LHV_ethanol = 26.7 GJ/t",2015.0 +ethanol from sugar crops,investment,446537.78,EUR/MW_eth,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.","Suited for USA and European production, original value INVCOST in MEUR/GW",2015.0 +ethanol from sugar crops,lifetime,20.0,years,"JRC, 01_JRC-EU-TIMES Full model, https://zenodo.org/records/3544900, file `SubRES_10_TECHS_CHP_SUP_IND.xlsx`, Sheet `SUP` (BCRPETH201, Ethanol production from sugar crops ) and currency year from file `SysSettings.xls`, sheet `Constants`, Attribute `G_Dyear` = 2015.",Suited for Brazilian production,2015.0 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0 fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, inputs/technology_data_for_el_and_dh.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average",2015.0 From bc30c189897c677502cdc5de556ea6fe51271d76 Mon Sep 17 00:00:00 2001 From: Daniele Lerede Date: Fri, 16 May 2025 18:25:29 +0200 Subject: [PATCH 30/30] correct name electric arc furnace with hbi and scrap --- inputs/manual_input.csv | 12 ++++++------ outputs/US/costs_2020.csv | 12 ++++++------ outputs/US/costs_2025.csv | 12 ++++++------ outputs/US/costs_2030.csv | 12 ++++++------ outputs/US/costs_2035.csv | 12 ++++++------ outputs/US/costs_2040.csv | 12 ++++++------ outputs/US/costs_2045.csv | 12 ++++++------ outputs/US/costs_2050.csv | 12 ++++++------ outputs/costs_2020.csv | 12 ++++++------ outputs/costs_2025.csv | 12 ++++++------ outputs/costs_2030.csv | 12 ++++++------ outputs/costs_2035.csv | 12 ++++++------ outputs/costs_2040.csv | 12 ++++++------ outputs/costs_2045.csv | 12 ++++++------ outputs/costs_2050.csv | 12 ++++++------ 15 files changed, 90 insertions(+), 90 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 3eadfadd..609911ce 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -329,12 +329,12 @@ electric arc furnace,economic_lifetime,2020,20,years,2020,"Model assumptions fro electric arc furnace,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. electric arc furnace,hbi-input,2020,1,t_hbi/t_steel,2020,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. electric arc furnace with hbi and scrap,investment,2020,1839600,EUR/t_steel/h,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’. -electric arc furnace with scrap,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." -electric arc furnace with scrap,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. -electric arc furnace with scrap,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", -electric arc furnace with scrap,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. -electric arc furnace with scrap,hbi-input,2020,0.37,t_hbi/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. -electric arc furnace with scrap,scrap-input,2020,0.71,t_scrap/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.", +electric arc furnace with hbi and scrap,FOM,2020,30,%/year,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion." +electric arc furnace with hbi and scrap,lifetime,2020,40,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime. +electric arc furnace with hbi and scrap,economic_lifetime,2020,20,years,2020,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.", +electric arc furnace with hbi and scrap,electricity-input,2020,0.6395,MWh_el/t_steel,2020,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. +electric arc furnace with hbi and scrap,hbi-input,2020,0.37,t_hbi/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower. +electric arc furnace with hbi and scrap,scrap-input,2020,0.71,t_scrap/t_steel,2020,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.", shipping fuel methanol,fuel,2020,72,EUR/MWh_th,2020,"Based on (source 1) Hampp et al (2022), https://arxiv.org/abs/2107.01092, and (source 2): https://www.methanol.org/methanol-price-supply-demand/; both accessed: 2022-12-03.",400 EUR/t assuming range roughly in the long-term range for green methanol (source 1) and late 2020+beyond values for grey methanol (source 2). shipping fuel methanol,CO2 intensity,2020,0.2482,t_CO2/MWh_th,2020,-,Based on stochiometric composition. iron ore DRI-ready,commodity,2020,97.73,EUR/t,2020,"Model assumptions from MPP Steel Transition Tool: https://missionpossiblepartnership.org/action-sectors/steel/, accessed: 2022-12-03.","DRI ready assumes 65% iron content, requiring no additional benefication." diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 944162f9..5985c383 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3867,13 +3867,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 0ba39f7f..9ebdd0a1 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3953,13 +3953,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 44b4896d..0cce44bb 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4109,13 +4109,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 3055f5ed..6c8cc2a7 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4133,13 +4133,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index c77cc067..251128af 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4133,13 +4133,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index a4513ac2..e2bc0b4b 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4133,13 +4133,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 8fab935d..d82c0070 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4133,13 +4133,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0,, -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0,, -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0,, -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0,, -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0,, -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0,, +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0,, electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0,, electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0,, electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index d71863c4..707fc3f8 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3375,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8711,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 388cc978..376ac6e1 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3933,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8761,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index fc113eef..63727a1a 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4571,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8811,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 9cfceab1..fff783c4 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.4214,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.8333,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 59559cea..0a551f84 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3857,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index ecc66443..7e1f729c 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.35,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index fb38462e..b5956fb9 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -874,13 +874,13 @@ electric arc furnace,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible P electric arc furnace,hbi-input,1.0,t_hbi/t_steel,-,Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 electric arc furnace,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 +electric arc furnace with hbi and scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 +electric arc furnace with hbi and scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 +electric arc furnace with hbi and scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 electric arc furnace with hbi and scrap,investment,1839600.0,EUR/t_steel/h,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",210 EUR/t_steel output/a. MPP steel tool uses CAPEX/OPEX for technology ‘EAF’.,2020.0 -electric arc furnace with scrap,FOM,30.0,%/year,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.","EAF has high OPEX of 62.99 EUR/year/t_steel, presumably because of electrode corrosion.",2020.0 -electric arc furnace with scrap,economic_lifetime,20.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",,2020.0 -electric arc furnace with scrap,electricity-input,0.6395,MWh_el/t_steel,"Mission Possible Partnership (2022): Steel Model (https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/Technology%20Business%20Cases.csv, accessed: 2022-12-03).",Based on process ‘EAF’. ,2020.0 -electric arc furnace with scrap,hbi-input,0.37,t_hbi/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",Assume HBI instead of scrap as input.Scrap would require higher input (in tonnes) as steel content is lower.,2020.0 -electric arc furnace with scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 -electric arc furnace with scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 +electric arc furnace with hbi and scrap,lifetime,40.0,years,"Model assumptions from MPP Steel Transition Tool: https://github.com/missionpossiblepartnership/mpp-steel-model/blob/9eca52db92bd2d9715f30e98ccaaf36677fdb516/mppsteel/data/import_data/CAPEX%20OPEX%20Per%20Technology.xlsx, accessed: 2022-12-05.",MPP steel model distinguishes between plant lifetime (40 years) and investment cycle (20 years). Choose plant lifetime.,2020.0 +electric arc furnace with hbi and scrap,scrap-input,0.71,t_scrap/t_steel,"World Steel Association, Fact Sheet – Steel and raw materials: https://worldsteel.org/wp-content/uploads/Fact-sheet-raw-materials-2023-1.pdf, Accessed 2024-04-17.",,2020.0 electric boiler steam,FOM,1.3143,%/year,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Fixed O&M,2019.0 electric boiler steam,VOM,0.7855,EUR/MWh,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx",310.1 Electric boiler steam : Variable O&M,2019.0 electric boiler steam,efficiency,0.99,per unit,"Danish Energy Agency, inputs/technology_data_for_industrial_process_heat.xlsx","310.1 Electric boiler steam : Total efficiency, net, annual average",2019.0