From 275bc383f8789ac260f6423423e55f00f24c1c6d Mon Sep 17 00:00:00 2001 From: Alberto Alamia Date: Tue, 27 Jan 2026 16:22:34 +0100 Subject: [PATCH 1/9] added perennials and green biorefining in compile_cost_assumptions.py --- outputs/US/costs_2020.csv | 6 ++ outputs/US/costs_2025.csv | 6 ++ outputs/US/costs_2030.csv | 6 ++ outputs/US/costs_2035.csv | 6 ++ outputs/US/costs_2040.csv | 6 ++ outputs/US/costs_2045.csv | 6 ++ outputs/US/costs_2050.csv | 6 ++ outputs/costs_2020.csv | 6 ++ outputs/costs_2025.csv | 6 ++ outputs/costs_2030.csv | 6 ++ outputs/costs_2035.csv | 6 ++ outputs/costs_2040.csv | 6 ++ outputs/costs_2045.csv | 6 ++ outputs/costs_2050.csv | 6 ++ scripts/compile_cost_assumptions.py | 136 ++++++++++++++++++++++++++++ 15 files changed, 220 insertions(+) diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index d155b1f6..a16315ee 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -4239,6 +4239,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 8c911804..e49ed33f 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -4309,6 +4309,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 35c38a65..a61dfe54 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4501,6 +4501,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 7ae12d4a..6f340fed 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4525,6 +4525,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index f3d8fe55..ee43cf0c 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4525,6 +4525,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 9fb13c81..6a5851be 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4525,6 +4525,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 9eba0494..0ba095ab 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4525,6 +4525,12 @@ 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,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +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 diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index d612abc2..b4633726 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index e1e1c1c4..188a74e3 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 81e8ceeb..bdee5fac 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 3ec9f1b1..45f0b874 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 23e2ab18..0e139ce6 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 92a95db2..ec31f3c9 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 78b1a6c4..a810f2d0 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -1169,6 +1169,12 @@ 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,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,investment,3412.2266,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2010.0 diff --git a/scripts/compile_cost_assumptions.py b/scripts/compile_cost_assumptions.py index 27d90fc8..c5fa37b6 100644 --- a/scripts/compile_cost_assumptions.py +++ b/scripts/compile_cost_assumptions.py @@ -2708,6 +2708,140 @@ def add_carbon_capture( return new_technology_dataframe +def add_perennials_gbr( + years: list, + sheet_names_dict: dict, + new_technology_dataframe: pd.DataFrame, + technology_dataframe: pd.DataFrame, +) -> pd.DataFrame: + """ + Add perennials + green biorefining (GBR) incl. biogas production plant. + + It considers purchase of raw materials (perennials) and sales of other products + (protein concentrate and biogas feedstock) in the VOM. + + Parameters + ---------- + years : list + Years for which a cost assumption is provided (e.g. [2020, 2025, ...]). + sheet_names_dict : dict + Dictionary having the technology name as keys and source/sheet references as values. + (Used for "further description" to match repository conventions.) + new_technology_dataframe : pandas.DataFrame + DataFrame to be filled/updated with the new technology data. + technology_dataframe : pandas.DataFrame + Existing technology data cost assumptions (used to reference e.g. biogas CAPEX). + + Returns + ------- + pandas.DataFrame + Updated technology data with "perennials gbr". + """ + + tech_name = "perennials gbr" + + # References (store also in "source" below) + source_r1 = "https://doi.org/10.1016/B978-0-323-95879-0.50147-8" + + # --- Constants --- + LHV_ch4 = 50 / 3.6 # MWh/t_CH4 + + # --- Mass & energy balance assumptions (R1) --- + DM_perennials = 0.18 # dry matter content (t_DM / t_wet) + ch4_mass_fraction_in_biogas = 0.348 # mass fraction CH4 in biogas (check definition in R1) + flh_y = 4200 # full-load hours per year (green crops harvest May–Oct) + + perennials_input_flow = 40 * DM_perennials # t_DM/h + perennials_input_annual = perennials_input_flow * flh_y # t_DM/y + + protein_output_flow = 1.4 # t_DM/h (protein concentrate on DM basis) + protein_output_annual = protein_output_flow * flh_y # t_DM/y + + # (t_biogas / t_DM) * (mass fraction CH4) * (MWh/t_CH4) + biogas_output_flow = 0.29 * ch4_mass_fraction_in_biogas * LHV_ch4 # MWh/h (per t_DM/h basis) + + # electricity input + electricity_input_flow = 7.33 / 100 * perennials_input_flow + + # --- CAPEX --- + # Assume the downstream biogas plant can run year-round from stored feedstock: + capacity_ratio_biogas_gbr = flh_y / 8760 # < 1 + + # Reference biogas investment from existing data (unit must be consistent with your scaling below) + biogas_investment_2020 = technology_dataframe.loc[("biogas", "investment"), 2020] + + # Additional CAPEX to scale plant from seasonal operation to year-round: + # (1/ratio - 1) is positive when ratio<1. + investment_biogas_adjusted = ( + biogas_investment_2020 + * (biogas_output_flow / perennials_input_flow) + * (1 / capacity_ratio_biogas_gbr - 1) + ) + + # Base GBR investment from R1 Table 4, divided by input capacity (tDM/h) + investment = 9.33e6 / (40 * DM_perennials) + investment_biogas_adjusted + + # --- OPEX / VOM --- + protein_price = 535 # EUR/t (R1) + perennial_cost = 130 # EUR/tDM (R1) + + # EUR/tDM (R1 Table 4: "labor and maintenance" converted to per tDM) + other_VOM = 0.45e6 / (40 * DM_perennials * flh_y) + + # EUR/tDM: cost of perennials - revenue from protein + other variable costs + VOM = ( + perennial_cost + - protein_price * (protein_output_annual / perennials_input_annual) + + other_VOM + ) + + # Own assumption + FOM = 0 # %/year + + # --- Write to dataframe (match repo conventions) --- + new_technology_dataframe.loc[(tech_name, "investment"), years] = investment + new_technology_dataframe.loc[(tech_name, "investment"), "unit"] = "EUR/tDM/h" + new_technology_dataframe.loc[(tech_name, "investment"), "currency_year"] = 2020 + + new_technology_dataframe.loc[(tech_name, "lifetime"), years] = 25 + new_technology_dataframe.loc[(tech_name, "lifetime"), "unit"] = "years" + + new_technology_dataframe.loc[(tech_name, "FOM"), years] = FOM + new_technology_dataframe.loc[(tech_name, "FOM"), "unit"] = "%/year" + new_technology_dataframe.loc[(tech_name, "FOM"), "currency_year"] = 2020 + + new_technology_dataframe.loc[(tech_name, "VOM"), years] = VOM + new_technology_dataframe.loc[(tech_name, "VOM"), "unit"] = "EUR/tDM" + new_technology_dataframe.loc[(tech_name, "VOM"), "currency_year"] = 2020 + + # Outputs/inputs per tDM + new_technology_dataframe.loc[(tech_name, "biogas-output"), years] = ( + biogas_output_flow / perennials_input_flow + ) + new_technology_dataframe.loc[(tech_name, "biogas-output"), "unit"] = "MWh/tDM" + + new_technology_dataframe.loc[(tech_name, "electricity-input"), years] = ( + electricity_input_flow / perennials_input_flow + ) + new_technology_dataframe.loc[(tech_name, "electricity-input"), "unit"] = "MWh/tDM" # verify! + + # Metadata (apply to whole tech row, like add_carbon_capture) + new_technology_dataframe.loc[tech_name, "source"] = source_r1 + new_technology_dataframe.loc[tech_name, "further description"] = sheet_names_dict.get( + tech_name, "" + ) + + # Per-variable descriptions (optional but often nice) + new_technology_dataframe.loc[(tech_name, "investment"), "further description"] = ( + "Includes GBR plant and scaled biogas plant without upgrading" + ) + new_technology_dataframe.loc[(tech_name, "VOM"), "further description"] = ( + "Includes purchase of perennials and revenue from protein concentrate; " + "incl. wages/maintenance/aux costs (R1)" + ) + + return new_technology_dataframe + def rename_pypsa_old(cost_dataframe_pypsa: pd.DataFrame) -> pd.DataFrame: """ @@ -4088,6 +4222,8 @@ def add_energy_storage_database( data = convert_units(years_list, data) # add carbon capture data = add_carbon_capture(years_list, dea_sheet_names, data, tech_data) + # add perennials and green biorefining + data = add_perennials_gbr(years_list, dea_sheet_names, data, data) # adjust for inflation for x in data.index.get_level_values("technology"): From 7dc71f565bed101a0eedece7f1ffba277c4412aa Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Tue, 27 Jan 2026 15:27:06 +0000 Subject: [PATCH 2/9] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- scripts/compile_cost_assumptions.py | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/scripts/compile_cost_assumptions.py b/scripts/compile_cost_assumptions.py index c5fa37b6..404389f8 100644 --- a/scripts/compile_cost_assumptions.py +++ b/scripts/compile_cost_assumptions.py @@ -2708,6 +2708,7 @@ def add_carbon_capture( return new_technology_dataframe + def add_perennials_gbr( years: list, sheet_names_dict: dict, @@ -2748,7 +2749,9 @@ def add_perennials_gbr( # --- Mass & energy balance assumptions (R1) --- DM_perennials = 0.18 # dry matter content (t_DM / t_wet) - ch4_mass_fraction_in_biogas = 0.348 # mass fraction CH4 in biogas (check definition in R1) + ch4_mass_fraction_in_biogas = ( + 0.348 # mass fraction CH4 in biogas (check definition in R1) + ) flh_y = 4200 # full-load hours per year (green crops harvest May–Oct) perennials_input_flow = 40 * DM_perennials # t_DM/h @@ -2758,7 +2761,9 @@ def add_perennials_gbr( protein_output_annual = protein_output_flow * flh_y # t_DM/y # (t_biogas / t_DM) * (mass fraction CH4) * (MWh/t_CH4) - biogas_output_flow = 0.29 * ch4_mass_fraction_in_biogas * LHV_ch4 # MWh/h (per t_DM/h basis) + biogas_output_flow = ( + 0.29 * ch4_mass_fraction_in_biogas * LHV_ch4 + ) # MWh/h (per t_DM/h basis) # electricity input electricity_input_flow = 7.33 / 100 * perennials_input_flow @@ -2823,12 +2828,14 @@ def add_perennials_gbr( new_technology_dataframe.loc[(tech_name, "electricity-input"), years] = ( electricity_input_flow / perennials_input_flow ) - new_technology_dataframe.loc[(tech_name, "electricity-input"), "unit"] = "MWh/tDM" # verify! + new_technology_dataframe.loc[(tech_name, "electricity-input"), "unit"] = ( + "MWh/tDM" # verify! + ) # Metadata (apply to whole tech row, like add_carbon_capture) new_technology_dataframe.loc[tech_name, "source"] = source_r1 - new_technology_dataframe.loc[tech_name, "further description"] = sheet_names_dict.get( - tech_name, "" + new_technology_dataframe.loc[tech_name, "further description"] = ( + sheet_names_dict.get(tech_name, "") ) # Per-variable descriptions (optional but often nice) From 80b11cf22336d75ca2415845a07e27b89afb50dc Mon Sep 17 00:00:00 2001 From: Alberto Alamia Date: Sat, 21 Mar 2026 16:59:35 +0100 Subject: [PATCH 3/9] comments on perennials cost assumtions --- 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 ++-- scripts/compile_cost_assumptions.py | 8 ++++---- 15 files changed, 32 insertions(+), 32 deletions(-) diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index a16315ee..3ddc43b3 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -4240,10 +4240,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index e49ed33f..7677d7c8 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -4310,10 +4310,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index a61dfe54..86aefd36 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4502,10 +4502,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 6f340fed..2f6be0e0 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4526,10 +4526,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index ee43cf0c..db2937a5 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4526,10 +4526,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 6a5851be..fcd12a75 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4526,10 +4526,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 0ba095ab..0e5e0d11 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4526,10 +4526,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0,, 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0,, +perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0,, +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, 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 diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index b4633726..5a7a01b0 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 188a74e3..bb844a69 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index bdee5fac..23d59a93 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 45f0b874..a4886f73 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 0e139ce6..6c7a8f2d 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index ec31f3c9..2b5c5715 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index a810f2d0..fc51ef7d 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -1170,10 +1170,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer organic rankine cycle,investment,1376.0,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.",2020.0 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,43.2317,EUR/tDM,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes purchase of perennials and revenue from protein concentrate; incl. wages/maintenance/aux costs (R1),2015.0 +perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,Includes GBR plant and scaled biogas plant without upgrading,2015.0 +perennials gbr,investment,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/scripts/compile_cost_assumptions.py b/scripts/compile_cost_assumptions.py index 404389f8..24317812 100644 --- a/scripts/compile_cost_assumptions.py +++ b/scripts/compile_cost_assumptions.py @@ -2790,7 +2790,7 @@ def add_perennials_gbr( protein_price = 535 # EUR/t (R1) perennial_cost = 130 # EUR/tDM (R1) - # EUR/tDM (R1 Table 4: "labor and maintenance" converted to per tDM) + # EUR/tDM (R1 Table 4): "labor and maintenance" converted to per tDM) other_VOM = 0.45e6 / (40 * DM_perennials * flh_y) # EUR/tDM: cost of perennials - revenue from protein + other variable costs @@ -2840,11 +2840,11 @@ def add_perennials_gbr( # Per-variable descriptions (optional but often nice) new_technology_dataframe.loc[(tech_name, "investment"), "further description"] = ( - "Includes GBR plant and scaled biogas plant without upgrading" + "Includes GBR plant and scaled biogas plant without upgrading, Table 4" ) new_technology_dataframe.loc[(tech_name, "VOM"), "further description"] = ( - "Includes purchase of perennials and revenue from protein concentrate; " - "incl. wages/maintenance/aux costs (R1)" + "Includes purchase of perennials and revenue from sales of protein concentrate; " + "incl. wages/maintenance/aux costs (Tables 2 -4)" ) return new_technology_dataframe From f4994c6a40c86104fbff4b8f003c13103055a368 Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Mon, 27 Apr 2026 15:07:11 +0800 Subject: [PATCH 4/9] base to merge with latest version of upsream repo --- outputs/US/costs_2020.csv | 2 +- outputs/US/costs_2025.csv | 2 +- outputs/US/costs_2030.csv | 2 +- outputs/US/costs_2035.csv | 2 +- outputs/US/costs_2040.csv | 2 +- outputs/US/costs_2045.csv | 2 +- outputs/US/costs_2050.csv | 2 +- outputs/costs_2020.csv | 2 +- outputs/costs_2025.csv | 2 +- outputs/costs_2030.csv | 2 +- outputs/costs_2035.csv | 2 +- outputs/costs_2040.csv | 2 +- outputs/costs_2045.csv | 2 +- outputs/costs_2050.csv | 2 +- scripts/compile_cost_assumptions.py | 4 ++-- 15 files changed, 16 insertions(+), 16 deletions(-) diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 3ddc43b3..eb830af4 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -4243,7 +4243,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index 7677d7c8..e31d558a 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -4313,7 +4313,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 86aefd36..b83a3a6d 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4505,7 +4505,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 2f6be0e0..d8108a1d 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4529,7 +4529,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index db2937a5..4b6c515d 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4529,7 +4529,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index fcd12a75..5de315a8 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4529,7 +4529,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 0e5e0d11..ca9d84a3 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4529,7 +4529,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0,, 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0,, +perennials gbr,investment,1371509.7864,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",2015.0,, 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 diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 5a7a01b0..11fff31e 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index bb844a69..cdbbc2fd 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 23d59a93..a502da02 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index a4886f73..78ce1b76 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 6c7a8f2d..fbe91f01 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 2b5c5715..f3853211 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index fc51ef7d..055fdc2a 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -1173,7 +1173,7 @@ perennials gbr,FOM,0.0,%/year,https://doi.org/10.1016/B978-0-323-95879-0.50147-8 perennials gbr,VOM,43.2317,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),2015.0 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,1371509.7864,EUR/tDM/h,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,"Includes GBR plant and scaled biogas plant without upgrading, Table 4",2015.0 +perennials gbr,investment,1371509.7864,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",2015.0 perennials gbr,lifetime,25.0,years,https://doi.org/10.1016/B978-0-323-95879-0.50147-8,,2015.0 ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/scripts/compile_cost_assumptions.py b/scripts/compile_cost_assumptions.py index 24317812..4fda0846 100644 --- a/scripts/compile_cost_assumptions.py +++ b/scripts/compile_cost_assumptions.py @@ -2805,7 +2805,7 @@ def add_perennials_gbr( # --- Write to dataframe (match repo conventions) --- new_technology_dataframe.loc[(tech_name, "investment"), years] = investment - new_technology_dataframe.loc[(tech_name, "investment"), "unit"] = "EUR/tDM/h" + new_technology_dataframe.loc[(tech_name, "investment"), "unit"] = "EUR/(tDM h)" new_technology_dataframe.loc[(tech_name, "investment"), "currency_year"] = 2020 new_technology_dataframe.loc[(tech_name, "lifetime"), years] = 25 @@ -2840,7 +2840,7 @@ def add_perennials_gbr( # Per-variable descriptions (optional but often nice) new_technology_dataframe.loc[(tech_name, "investment"), "further description"] = ( - "Includes GBR plant and scaled biogas plant without upgrading, Table 4" + "DM (Dry Matter or perennial crops). The investment includes green biorefinery plant and a scaleup in capacity for biogas plant without upgrading, Table 4" ) new_technology_dataframe.loc[(tech_name, "VOM"), "further description"] = ( "Includes purchase of perennials and revenue from sales of protein concentrate; " From 30f564f28ad3a5d81bb2bbc69989321008f6d4be Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Mon, 27 Apr 2026 15:15:31 +0800 Subject: [PATCH 5/9] release note --- docs/release_notes.rst | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/release_notes.rst b/docs/release_notes.rst index cee8d406..e1c32b0d 100644 --- a/docs/release_notes.rst +++ b/docs/release_notes.rst @@ -16,6 +16,8 @@ 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. + * Adding `grey methanol synthesis`. * Align cost units for NREL battery data with PyPSA modeling, fetching investment cost and FOM for both `battery storage` and `battery inverter` instead of a single value for `battery storage`, which was instead representative of the full plant (battery storage + battery inverter). From 950bd0a71bd55893b150d093538258289d109c55 Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Mon, 15 Jun 2026 17:57:34 +0200 Subject: [PATCH 6/9] Regenerate outputs after merging master into perennialization_PR Co-Authored-By: Claude Opus 4.8 --- 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 ++-- 14 files changed, 28 insertions(+), 28 deletions(-) diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index bf0989af..f74f7921 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -4285,10 +4285,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index c85c992c..f5af444f 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -4355,10 +4355,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index fce6a99b..ccf1a846 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -4547,10 +4547,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 55be61fa..6841c7cf 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -4571,10 +4571,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 297e9ad8..984fd4fb 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -4571,10 +4571,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 2b1f1792..ab9d9b97 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -4571,10 +4571,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 8e9248c9..fb740287 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -4571,10 +4571,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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 diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index b2589ec2..6e16b093 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 9005a691..2c6f3201 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 158939c8..a483a68b 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index d742a044..6d0b73e0 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index a0fb5752..3fb28fa3 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index a581b802..d087bbb2 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index fe10fe7b..80c7c51d 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -1209,10 +1209,10 @@ organic rankine cycle,electricity-input,0.12,MWh_el/MWh_th,"Aghahosseini, Breyer 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,43.2317,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),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,1371509.7864,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",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,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions,2015.0 From fbe832b02b0aeaaf1a43671679ed933406ab57ae Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Mon, 15 Jun 2026 17:58:41 +0200 Subject: [PATCH 7/9] Move perennials release note to Upcoming Release section Co-Authored-By: Claude Opus 4.8 --- docs/release_notes.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/release_notes.rst b/docs/release_notes.rst index 58e9857e..b8c8e92b 100644 --- a/docs/release_notes.rst +++ b/docs/release_notes.rst @@ -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) + `v0.15.0 `__ (9th June 2026) ================================================================================================ @@ -36,7 +38,6 @@ Upcoming Release `v0.14.0 `__ (13th February 2026) ================================================================================================ -* Adding `perennials gbr` for production of perennial crops instead of 1st generation biofuels, followed by Green Bio Refining to proteins and biogas. * Changed currency year from 2020 to 2025 for all cost assumptions using updated Eurostat inflation rates. (https://github.com/PyPSA/technology-data/pull/263) From 410d364c13d393cbe13b92b1ecae8e7115b02623 Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Tue, 23 Jun 2026 18:14:22 +0200 Subject: [PATCH 8/9] added biofuels production efficiencies for all 1st gen biofuels substituted by perennials --- inputs/manual_input.csv | 5 ++++- 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, 46 insertions(+), 1 deletion(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 9c0aeb1b..89f69588 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -737,4 +737,7 @@ 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%)" \ No newline at end of file +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)" diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index f74f7921..29b1a6c5 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3532,6 +3532,7 @@ 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",,,, @@ -3998,11 +3999,13 @@ 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,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index f5af444f..84e2e355 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3612,6 +3612,7 @@ 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",,,, @@ -4084,11 +4085,13 @@ 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,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index ccf1a846..fd91914a 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3768,6 +3768,7 @@ biochar pyrolysis,investment,194139.6041,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,174.7869,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,104.6769,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",,,, @@ -4240,11 +4241,13 @@ 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,761648.2168,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,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,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,563668.838,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,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 6841c7cf..e6d7fba2 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3792,6 +3792,7 @@ biochar pyrolysis,investment,186050.4539,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,174.7183,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,107.0167,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",,,, @@ -4264,11 +4265,13 @@ 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,761648.2168,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,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,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,563668.838,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,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 984fd4fb..df07a873 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3792,6 +3792,7 @@ biochar pyrolysis,investment,177961.3037,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,174.6496,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,109.3566,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",,,, @@ -4264,11 +4265,13 @@ 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,761648.2168,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,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,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,563668.838,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,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index ab9d9b97..df9f9571 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3792,6 +3792,7 @@ biochar pyrolysis,investment,169872.1536,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,171.0237,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,111.7235,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",,,, @@ -4264,11 +4265,13 @@ 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,761648.2168,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,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,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,563668.838,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,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index fb740287..9816827a 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3792,6 +3792,7 @@ biochar pyrolysis,investment,161783.0034,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,167.3978,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,114.0904,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",,,, @@ -4264,11 +4265,13 @@ 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,761648.2168,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,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,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,563668.838,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,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 6e16b093..609ff98c 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -641,6 +641,7 @@ 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",, @@ -1021,11 +1022,13 @@ 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 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 2c6f3201..d8864c4f 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -641,6 +641,7 @@ 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",, @@ -1021,11 +1022,13 @@ 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 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index a483a68b..608ab2c2 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -641,6 +641,7 @@ biochar pyrolysis,investment,194139.6041,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,174.7869,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,104.6769,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",, @@ -1021,11 +1022,13 @@ 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,761648.2168,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,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,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,563668.838,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 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 6d0b73e0..7031505f 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -641,6 +641,7 @@ biochar pyrolysis,investment,186050.4539,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,174.7183,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,107.0167,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",, @@ -1021,11 +1022,13 @@ 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,761648.2168,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,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,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,563668.838,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 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 3fb28fa3..dc23fea6 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -641,6 +641,7 @@ biochar pyrolysis,investment,177961.3037,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,174.6496,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,109.3566,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",, @@ -1021,11 +1022,13 @@ 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,761648.2168,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,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,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,563668.838,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 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index d087bbb2..5a0d2b7c 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -641,6 +641,7 @@ biochar pyrolysis,investment,169872.1536,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,171.0237,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,111.7235,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",, @@ -1021,11 +1022,13 @@ 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,761648.2168,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,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,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,563668.838,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 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index 80c7c51d..4cfddcc4 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -641,6 +641,7 @@ biochar pyrolysis,investment,161783.0034,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,167.3978,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,114.0904,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",, @@ -1021,11 +1022,13 @@ 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,761648.2168,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,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,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,563668.838,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 From 0313ec977c11cf5b6f1c5267df7fdb437d823b15 Mon Sep 17 00:00:00 2001 From: BertoGBG Date: Wed, 24 Jun 2026 02:23:08 +0200 Subject: [PATCH 9/9] typo in manual input for 1G biofues conversin processes --- inputs/manual_input.csv | 6 +++--- outputs/US/costs_2020.csv | 6 +++--- outputs/US/costs_2025.csv | 6 +++--- outputs/US/costs_2030.csv | 6 +++--- outputs/US/costs_2035.csv | 6 +++--- outputs/US/costs_2040.csv | 6 +++--- outputs/US/costs_2045.csv | 6 +++--- outputs/US/costs_2050.csv | 6 +++--- outputs/costs_2020.csv | 6 +++--- outputs/costs_2025.csv | 6 +++--- outputs/costs_2030.csv | 6 +++--- outputs/costs_2035.csv | 6 +++--- outputs/costs_2040.csv | 6 +++--- outputs/costs_2045.csv | 6 +++--- outputs/costs_2050.csv | 6 +++--- 15 files changed, 45 insertions(+), 45 deletions(-) diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv index 38b2e4ef..d2aea0a5 100644 --- a/inputs/manual_input.csv +++ b/inputs/manual_input.csv @@ -740,6 +740,6 @@ oil,fuel,2025,34.2,EUR/MWh,2025,"World Bank (2025) Commodity Markets, https://ww 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%)" -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)" +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)" diff --git a/outputs/US/costs_2020.csv b/outputs/US/costs_2020.csv index 5178e3bb..a3e8f7f1 100644 --- a/outputs/US/costs_2020.csv +++ b/outputs/US/costs_2020.csv @@ -3534,7 +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,, +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",,,, @@ -4001,13 +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 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,, +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,, diff --git a/outputs/US/costs_2025.csv b/outputs/US/costs_2025.csv index b1e241bf..89ec46e0 100644 --- a/outputs/US/costs_2025.csv +++ b/outputs/US/costs_2025.csv @@ -3614,7 +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,, +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",,,, @@ -4087,13 +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 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,, +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,, diff --git a/outputs/US/costs_2030.csv b/outputs/US/costs_2030.csv index 60edfbe6..ef6f41cf 100644 --- a/outputs/US/costs_2030.csv +++ b/outputs/US/costs_2030.csv @@ -3770,7 +3770,7 @@ biochar pyrolysis,investment,194139.6041,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,174.7869,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,, +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,104.6769,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",,,, @@ -4243,13 +4243,13 @@ 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,761648.2168,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 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,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,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,563668.838,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,, +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,, diff --git a/outputs/US/costs_2035.csv b/outputs/US/costs_2035.csv index 0524a4e6..a04906b0 100644 --- a/outputs/US/costs_2035.csv +++ b/outputs/US/costs_2035.csv @@ -3794,7 +3794,7 @@ biochar pyrolysis,investment,186050.4539,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,174.7183,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,, +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,107.0167,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",,,, @@ -4267,13 +4267,13 @@ 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,761648.2168,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 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,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,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,563668.838,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,, +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,, diff --git a/outputs/US/costs_2040.csv b/outputs/US/costs_2040.csv index 80e5b849..62116308 100644 --- a/outputs/US/costs_2040.csv +++ b/outputs/US/costs_2040.csv @@ -3794,7 +3794,7 @@ biochar pyrolysis,investment,177961.3037,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,174.6496,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,, +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,109.3566,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",,,, @@ -4267,13 +4267,13 @@ 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,761648.2168,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 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,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,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,563668.838,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,, +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,, diff --git a/outputs/US/costs_2045.csv b/outputs/US/costs_2045.csv index 068a18b4..2b732924 100644 --- a/outputs/US/costs_2045.csv +++ b/outputs/US/costs_2045.csv @@ -3794,7 +3794,7 @@ biochar pyrolysis,investment,169872.1536,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,171.0237,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,, +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,111.7235,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",,,, @@ -4267,13 +4267,13 @@ 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,761648.2168,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 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,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,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,563668.838,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,, +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,, diff --git a/outputs/US/costs_2050.csv b/outputs/US/costs_2050.csv index 34b8cfc8..459fa960 100644 --- a/outputs/US/costs_2050.csv +++ b/outputs/US/costs_2050.csv @@ -3794,7 +3794,7 @@ biochar pyrolysis,investment,161783.0034,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,167.3978,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,, +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,114.0904,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",,,, @@ -4267,13 +4267,13 @@ 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,761648.2168,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 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,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,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,563668.838,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,, +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,, diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv index 9cc03a97..275e6973 100644 --- a/outputs/costs_2020.csv +++ b/outputs/costs_2020.csv @@ -643,7 +643,7 @@ 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 +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",, @@ -1024,13 +1024,13 @@ 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 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 +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 diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv index 38ba2c50..1c9cf1e7 100644 --- a/outputs/costs_2025.csv +++ b/outputs/costs_2025.csv @@ -643,7 +643,7 @@ 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 +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",, @@ -1024,13 +1024,13 @@ 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 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 +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 diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv index 98b53b19..ddc4dfab 100644 --- a/outputs/costs_2030.csv +++ b/outputs/costs_2030.csv @@ -643,7 +643,7 @@ biochar pyrolysis,investment,194139.6041,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,174.7869,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 +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,104.6769,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",, @@ -1024,13 +1024,13 @@ 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,761648.2168,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 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,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,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,563668.838,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 +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 diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv index 3da08960..ef6fa16b 100644 --- a/outputs/costs_2035.csv +++ b/outputs/costs_2035.csv @@ -643,7 +643,7 @@ biochar pyrolysis,investment,186050.4539,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,174.7183,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 +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,107.0167,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",, @@ -1024,13 +1024,13 @@ 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,761648.2168,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 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,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,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,563668.838,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 +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 diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv index 3846df81..cbd77fbe 100644 --- a/outputs/costs_2040.csv +++ b/outputs/costs_2040.csv @@ -643,7 +643,7 @@ biochar pyrolysis,investment,177961.3037,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,174.6496,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 +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,109.3566,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",, @@ -1024,13 +1024,13 @@ 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,761648.2168,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 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,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,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,563668.838,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 +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 diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv index 052a5019..d20676e6 100644 --- a/outputs/costs_2045.csv +++ b/outputs/costs_2045.csv @@ -643,7 +643,7 @@ biochar pyrolysis,investment,169872.1536,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,171.0237,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 +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,111.7235,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",, @@ -1024,13 +1024,13 @@ 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,761648.2168,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 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,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,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,563668.838,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 +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 diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv index ad4e2d4f..aa8ea4b5 100644 --- a/outputs/costs_2050.csv +++ b/outputs/costs_2050.csv @@ -643,7 +643,7 @@ biochar pyrolysis,investment,161783.0034,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,167.3978,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 +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,114.0904,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",, @@ -1024,13 +1024,13 @@ 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,761648.2168,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 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,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,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,563668.838,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 +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