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..404389f8 100644
--- a/scripts/compile_cost_assumptions.py
+++ b/scripts/compile_cost_assumptions.py
@@ -2709,6 +2709,147 @@ 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:
     """
     The function renames old technology names to new ones to compare converts units from water tanks to compare.
@@ -4088,6 +4229,8 @@ 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"):