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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
474c1ee
Rename "perennials gbr" technology to "perennials refining"
BertoGBG Aug 20, 2026
956ff01
Merge branch 'master' into pr/BertoGBG/255
euronion Aug 20, 2026
85c2f57
Update docs/release_notes.rst
euronion Aug 20, 2026
2ff453f
perennials refining: exclude biogas plant from investment
fneum Sep 29, 2026
80a6b64
perennials refining: apply 2020 currency year set in add_perennials_r…
fneum Sep 29, 2026
4db91f9
perennials refining: move labour and maintenance costs from VOM to FOM
fneum Sep 29, 2026
94633b6
perennials refining: harmonise units, full source citation and explai…
fneum Sep 29, 2026
a556331
release notes: restore Enhanced Weathering entry and mention new biof…
fneum Sep 29, 2026
f1ffb72
regenerate outputs
fneum Sep 29, 2026
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2 changes: 2 additions & 0 deletions docs/release_notes.rst
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Expand Up @@ -19,6 +19,8 @@ Upcoming Release

* Add cost assumptions for water network infrastructure: water pipeline HDPE and water pipeline booster pump (https://github.com/PyPSA/technology-data/pull/277)

* Adding `perennials refining` for production of perennial crops instead of 1st generation biofuels, followed by Green Bio Refining to proteins and biogas, and mass-based conversion efficiencies for ``ethanol from wheat``, ``ethanol from sugar beet`` and ``biodiesel from rapeseed``. (https://github.com/PyPSA/technology-data/pull/255)

`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 @@ -746,4 +746,7 @@ water pipeline HDPE (171.65mm 16 bar),lifetime,2023,50,years,2022,"HYPAT_WP_Wate
water pipeline booster pump,investment,1981,4775,EUR/kW,2022,"Calculated based on HYPAT_WP_Water-Supply-for-Electrolysis-Plants, https://hypat.de/hypat-wAssets/docs/new/publikationen/HYPAT_WP_Water-Supply-for-Electrolysis-Plants.pdf, Sec. 4.3 + 8.1, Eq. 17 and Monterey County report (1981) using 2% annual inflation; accessed 2026-06-15","Cost of water booster pump per horsepower scaled via power law (exponent 0.558). Base value 15,570 USD/HP (1981) inflated to 2022 and converted using an exchange rate of 0.7532 EUR/USD. Value evaluated at reference pump capacity (~73 kW) corresponding to 4,775 EUR/kW."
water pipeline booster pump,FOM,1981,2,%/year,2022,"HYPAT_WP_Water-Supply-for-Electrolysis-Plants, https://hypat.de/hypat-wAssets/docs/new/publikationen/HYPAT_WP_Water-Supply-for-Electrolysis-Plants.pdf, Sec. 4.3 + 8.1; accessed 2026-06-15",
water pipeline booster pump,lifetime,1981,30,years,2022,"HYPAT_WP_Water-Supply-for-Electrolysis-Plants, https://hypat.de/hypat-wAssets/docs/new/publikationen/HYPAT_WP_Water-Supply-for-Electrolysis-Plants.pdf, Sec. 4.3 + 8.1; accessed 2026-06-15",
water pipeline booster pump,efficiency,1981,0.765,m^3-H2O/kWh,2022,"HYPAT_WP_Water-Supply-for-Electrolysis-Plants, https://hypat.de/hypat-wAssets/docs/new/publikationen/HYPAT_WP_Water-Supply-for-Electrolysis-Plants.pdf, Sec. 4.3 + 8.1, by multiplying the motor efficiency with the pump efficiency: 0.85 x 0.9=0.765; accessed 2026-06-15",
water pipeline booster pump,efficiency,1981,0.765,m^3-H2O/kWh,2022,"HYPAT_WP_Water-Supply-for-Electrolysis-Plants, https://hypat.de/hypat-wAssets/docs/new/publikationen/HYPAT_WP_Water-Supply-for-Electrolysis-Plants.pdf, Sec. 4.3 + 8.1, by multiplying the motor efficiency with the pump efficiency: 0.85 x 0.9=0.765; accessed 2026-06-15",
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)"
Comment on lines +750 to +752

@euronion euronion Aug 20, 2026

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Are you interested in the other process inputs from the JRC document, e.g. electricity or steam input?

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 refining,FOM,4.8232,%/year,"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8","Labor and maintenance of 0.45 MEUR/year relative to investment of 9.33 MEUR, Table 4",2020.0,,
perennials refining,VOM,32.6558,EUR/t_DM,"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8",DM: dry matter of perennial crops. Includes purchase of perennials and revenue from sales of protein concentrate (Tables 2 -4),2025.0,,
perennials refining,biogas-output,0.1947,MWh/t_DM,"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8",DM: dry matter of perennial crops.,2020.0,,
perennials refining,electricity-input,0.0733,MWh/t_DM,"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8",DM: dry matter of perennial crops.,2020.0,,
perennials refining,investment,1629296.0873,EUR/(t_DM/h),"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8","DM: dry matter of perennial crops. The investment includes the green biorefinery plant only, not the biogas plant, Table 4",2025.0,,
perennials refining,lifetime,25.0,years,"Andrade, Ambye-Jensen: Process Integration and Techno-Economic Assessment of a Green Biorefinery Demonstration Scale Platform for Leaf Protein Production (2022), https://doi.org/10.1016/B978-0-323-95879-0.50147-8",DM: dry matter of perennial crops.,2020.0,,
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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