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update electrolysis costs 2025
1 parent b44f5ae commit dd8d72f

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+38
-38
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inputs/manual_input.csv

+23-23
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outputs/costs_2020.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
839839
offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.5656,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2025.csv

+3-3
Original file line numberDiff line numberDiff line change
@@ -715,7 +715,7 @@ electrobiofuels,investment,512440.2631,EUR/kW_th,combination of BtL and electrof
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electrolysis,FOM,4.0,%/year,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW: Fixed O&M ,2020.0
716716
electrolysis,efficiency,0.5874,per unit,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW: Hydrogen Output,2020.0
717717
electrolysis,efficiency-heat,0.264,per unit,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW: - hereof recoverable for district heating,2020.0
718-
electrolysis,investment,2000.0,EUR/kW_e,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,,2020.0
718+
electrolysis,investment,1800.0,EUR/kW_e,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,,2020.0
719719
electrolysis,lifetime,25.0,years,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW: Technical lifetime,2020.0
720720
fuel cell,FOM,5.0,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Fixed O&M,2015.0
721721
fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP: Cb coefficient,2015.0
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
839839
offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.5143,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2030.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
839839
offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.463,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2035.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.185,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,202
839839
offwind-float,investment,2155.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.4498,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2040.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.22,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
839839
offwind-float,investment,1960.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.4365,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2045.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.305,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,202
839839
offwind-float,investment,1770.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.4231,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

outputs/costs_2050.csv

+2-2
Original file line numberDiff line numberDiff line change
@@ -839,8 +839,8 @@ offwind-float,FOM,1.39,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
839839
offwind-float,investment,1580.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
840840
offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
841841
offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
842-
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
843-
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
842+
offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
843+
offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
844844
oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
845845
oil,FOM,2.4095,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Fixed O&M,2015.0
846846
oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm: Variable O&M,2015.0

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