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added perennials and green biorefining in compile_cost_assumptions.py #255

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added perennials and green biorefining in compile_cost_assumptions.py #255

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275bc38
added perennials and green biorefining in compile_cost_assumptions.py
BertoGBG Jan 27, 2026
7dc71f5
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 27, 2026
80b11cf
comments on perennials cost assumtions
BertoGBG Mar 21, 2026
f4994c6
base to merge with latest version of upsream repo
BertoGBG Apr 27, 2026
30f564f
release note
BertoGBG Apr 27, 2026
9f592bd
release note
BertoGBG Apr 27, 2026
60e11f1
Merge remote-tracking branch 'upstream/master' into perennialization_PR
BertoGBG Jun 15, 2026
950bd0a
Regenerate outputs after merging master into perennialization_PR
BertoGBG Jun 15, 2026
fbe832b
Move perennials release note to Upcoming Release section
BertoGBG Jun 15, 2026
410d364
added biofuels production efficiencies for all 1st gen biofuels subst…
BertoGBG Jun 23, 2026
e1e38d7
merged with latest version and fixed conflict on release notes
BertoGBG Jun 23, 2026
0313ec9
typo in manual input for 1G biofues conversin processes
BertoGBG Jun 24, 2026
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2 changes: 2 additions & 0 deletions docs/release_notes.rst
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Expand Up @@ -15,6 +15,8 @@ Upcoming Release
.. The features listed below are not released yet, but will be part of the next release!
.. To use the features already you have to use the ``master`` branch.

* Adding `perennials gbr` for production of perennial crops instead of 1st generation biofuels, followed by Green Bio Refining to proteins and biogas. (https://github.com/PyPSA/technology-data/pull/255)

* Adding `Enhanced Weathering` (or Rocks) as CDR technology. (https://github.com/PyPSA/technology-data/pull/256)

`v0.15.0 <https://github.com/PyPSA/technology-data/releases/tag/v0.15.0>`__ (9th June 2026)
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5 changes: 4 additions & 1 deletion inputs/manual_input.csv
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Expand Up @@ -739,4 +739,7 @@ oil,fuel,2020,21.3,EUR/MWh,2020,"World Bank (2025) Commodity Markets, https://ww
oil,fuel,2025,34.2,EUR/MWh,2025,"World Bank (2025) Commodity Markets, https://www.worldbank.org/en/research/commodity-markets","average monthly prices, 1 MWh = 0.564 BBL, 0.836 USD/EUR, +5% markup for heavy oil"
oil,fuel,2030,34.7,EUR/MWh,2021,"ENTSO-E & ENTSOG TYNDP 2024 Scenarios Inputs Commodity Prices, https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Prices.zip, accessed: 2026-02-03.","Based on IEA 2022 (APS) data, 3.6 GJ/MWh, heavy oil, modelled from crude oil price (+5%)"
oil,fuel,2040,33.6,EUR/MWh,2021,"ENTSO-E & ENTSOG TYNDP 2024 Scenarios Inputs Commodity Prices, https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Prices.zip, accessed: 2026-02-03.","Based on IEA 2022 (APS) data, 3.6 GJ/MWh, heavy oil, modelled from crude oil price (+5%)"
oil,fuel,2050,32.5,EUR/MWh,2021,"ENTSO-E & ENTSOG TYNDP 2024 Scenarios Inputs Commodity Prices, https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Prices.zip, accessed: 2026-02-03.","Based on IEA 2022 (APS) data, 3.6 GJ/MWh, heavy oil, modelled from crude oil price (+5%)"
oil,fuel,2050,32.5,EUR/MWh,2021,"ENTSO-E & ENTSOG TYNDP 2024 Scenarios Inputs Commodity Prices, https://2024-data.entsos-tyndp-scenarios.eu/files/scenarios-inputs/Prices.zip, accessed: 2026-02-03.","Based on IEA 2022 (APS) data, 3.6 GJ/MWh, heavy oil, modelled from crude oil price (+5%)"
ethanol from wheat,efficiency,2020,0.295,t_ethanol/t_wheat,2020,"JRC Technical Report doi:10.2760/69179 Table 93","assuming LHV ethanol 7.447 MWh/t and wheat grain moisture 13.5% (Eurostat standard humidity 14%)"
ethanol from sugar beet,efficiency,2020,0.07777,t_ethanol/t_sugarbeet,2020,"JRC Technical Report doi:10.2760/69179 Table 133","assuming LHV ethanol 7.447 MWh/t and sugar content 16% (Eurostat standard: fresh beet)"
biodiesel from rapeseed,efficiency,2020,0.4176,t_biodiesel/t_rapeseed,2020,"JRC Technical Report doi:10.2760/69179 Tables 155+159","calculated as: t_crude_oil/t_rapeseed 9% moisture (Eurostat standard humidity 9%) x crude-to-FAME (1/1.0063)"
9 changes: 9 additions & 0 deletions outputs/US/costs_2020.csv
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Expand Up @@ -3534,6 +3534,7 @@ biochar pyrolysis,investment,210317.9044,EUR/kW_biochar,"Danish Energy Agency, i
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,122.1631,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2025.0,,
biodiesel from rapeseed,efficiency,0.4176,t_biodiesel/t_rapeseed,JRC Technical Report doi:10.2760/69179 Tables 155+159,calculated as: t_crude_oil/t_rapeseed 9% moisture (Eurostat standard humidity 9%) x crude-to-FAME (1/1.0063),2020.0,,
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,78.9195,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2025.0,,
biogas,CO2 stored,0.1447,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,,
Expand Down Expand Up @@ -4000,11 +4001,13 @@ ethanol from starch crop,VOM,33.2615,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full mode
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,904458.9273,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",2025.0,,
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 beet,efficiency,0.0778,t_ethanol/t_sugarbeet,JRC Technical Report doi:10.2760/69179 Table 133,assuming LHV ethanol 7.447 MWh/t and sugar content 16% (Eurostat standard: fresh beet),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`, 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,29.2541,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",2025.0,,
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,669357.58,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",2025.0,,
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,,
ethanol from wheat,efficiency,0.295,t_ethanol/t_wheat,JRC Technical Report doi:10.2760/69179 Table 93,assuming LHV ethanol 7.447 MWh/t and wheat grain moisture 13.5% (Eurostat standard humidity 14%),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,,
Expand Down Expand Up @@ -4286,6 +4289,12 @@ organic rankine cycle,FOM,2.0,%/year,"Aghahosseini, Breyer 2020: From hot rock t
organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 2020: From hot rock to useful energy: A global estimate of enhanced geothermal systems potential, https://www.sciencedirect.com/science/article/pii/S0306261920312551; Breede et al. 2015: Overcoming challenges in the classification of deep geothermal potential, https://eprints.gla.ac.uk/169585/","Heat-input, Electricity-output. This is a rough estimate, depends on input temperature, implies ~150 C.",2020.0,,
organic rankine cycle,investment,1730.0924,EUR/kW_el,Tartiere and Astolfi 2017: A world overview of the organic Rankine cycle market,"Low rollout complicates the estimation, compounded by a dependence both on plant size and temperature, converted from 1500 USD/kW using currency conversion 1.09 USD = 1 EUR.",2025.0,,
organic rankine cycle,lifetime,30.0,years,"Aghahosseini, Breyer 2020: From hot rock to useful energy: A global estimate of enhanced geothermal systems potential, https://www.sciencedirect.com/science/article/pii/S0306261920312551",,2020.0,,
perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,VOM,54.5718,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from sales of protein concentrate; incl. wages/maintenance/aux costs (Tables 2 -4),2025.0,,
perennials gbr,biogas-output,0.1947,MWh/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,electricity-input,0.0733,MWh/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,investment,1731269.6984,EUR/(tDM h),https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"DM (Dry Matter or perennial crops). The investment includes green biorefinery plant and a scaleup in capacity for biogas plant without upgrading, Table 4",2025.0,,
perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
ror,CF,0.6564,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,Advanced
ror,CF,0.6564,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,Conservative
ror,CF,0.6564,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
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9 changes: 9 additions & 0 deletions outputs/US/costs_2025.csv
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Expand Up @@ -3614,6 +3614,7 @@ biochar pyrolysis,investment,210317.9044,EUR/kW_biochar,"Danish Energy Agency, i
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,148.475,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIORPS1 (rape seed), ENS_BaU_GFTM",,2025.0,,
biodiesel from rapeseed,efficiency,0.4176,t_biodiesel/t_rapeseed,JRC Technical Report doi:10.2760/69179 Tables 155+159,calculated as: t_crude_oil/t_rapeseed 9% moisture (Eurostat standard humidity 9%) x crude-to-FAME (1/1.0063),2020.0,,
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,91.7982,EUR/MWhth,"JRC ENSPRESO ca avg for MINBIOCRP11 (Bioethanol barley, wheat, grain maize, oats, other cereals and rye), ENS_BaU_GFTM",,2025.0,,
biogas,CO2 stored,0.1447,tCO2/MWh_th,"Stoichiometric calculation, doi:10.1016/j.apenergy.2022.120016",,,,
Expand Down Expand Up @@ -4086,11 +4087,13 @@ ethanol from starch crop,VOM,33.2615,EUR/MWh_eth,"JRC, 01_JRC-EU-TIMES Full mode
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,821144.8873,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",2025.0,,
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 beet,efficiency,0.0778,t_ethanol/t_sugarbeet,JRC Technical Report doi:10.2760/69179 Table 133,assuming LHV ethanol 7.447 MWh/t and sugar content 16% (Eurostat standard: fresh beet),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`, 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,29.2541,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",2025.0,,
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,607696.9085,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",2025.0,,
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,,
ethanol from wheat,efficiency,0.295,t_ethanol/t_wheat,JRC Technical Report doi:10.2760/69179 Table 93,assuming LHV ethanol 7.447 MWh/t and wheat grain moisture 13.5% (Eurostat standard humidity 14%),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,,
Expand Down Expand Up @@ -4356,6 +4359,12 @@ organic rankine cycle,FOM,2.0,%/year,"Aghahosseini, Breyer 2020: From hot rock t
organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 2020: From hot rock to useful energy: A global estimate of enhanced geothermal systems potential, https://www.sciencedirect.com/science/article/pii/S0306261920312551; Breede et al. 2015: Overcoming challenges in the classification of deep geothermal potential, https://eprints.gla.ac.uk/169585/","Heat-input, Electricity-output. This is a rough estimate, depends on input temperature, implies ~150 C.",2020.0,,
organic rankine cycle,investment,1730.0924,EUR/kW_el,Tartiere and Astolfi 2017: A world overview of the organic Rankine cycle market,"Low rollout complicates the estimation, compounded by a dependence both on plant size and temperature, converted from 1500 USD/kW using currency conversion 1.09 USD = 1 EUR.",2025.0,,
organic rankine cycle,lifetime,30.0,years,"Aghahosseini, Breyer 2020: From hot rock to useful energy: A global estimate of enhanced geothermal systems potential, https://www.sciencedirect.com/science/article/pii/S0306261920312551",,2020.0,,
perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,VOM,54.5718,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from sales of protein concentrate; incl. wages/maintenance/aux costs (Tables 2 -4),2025.0,,
perennials gbr,biogas-output,0.1947,MWh/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,electricity-input,0.0733,MWh/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
perennials gbr,investment,1731269.6984,EUR/(tDM h),https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"DM (Dry Matter or perennial crops). The investment includes green biorefinery plant and a scaleup in capacity for biogas plant without upgrading, Table 4",2025.0,,
perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0,,
ror,CF,0.66,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
ror,CF,0.66,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
ror,CF,0.66,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
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