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26
doc/configtables/industry.csv
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,Unit,Values,Description
St_primary_fraction,--,Dictionary with planning horizons as keys.,The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6
DRI_fraction,--,Dictionary with planning horizons as keys.,The fraction of the primary route DRI + EAF
,,,
H2_DRI,--,float,The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_
elec_DRI,MWh/tSt,float,The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_
Al_primary_fraction,--,Dictionary with planning horizons as keys.,The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4
MWh_NH3_per_tNH3,LHV,float,The energy amount per ton of ammonia.
MWh_CH4_per_tNH3_SMR,--,float,The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_
MWh_elec_per_tNH3_SMR,--,float,"The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3"
MWh_H2_per_tNH3_electrolysis,--,float,"The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)"
MWh_elec_per_tNH3_electrolysis,--,float,"The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB)"
MWh_NH3_per_MWh_H2_cracker,--,float,The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker
Mwh_H2_per_tNH3 _electrolysis,--,float,"The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)"
Mwh_elec_per_tNH3 _electrolysis,--,float,"The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB)"
Mwh_NH3_per_MWh _H2_cracker,--,float,The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker
NH3_process_emissions,MtCO2/a,float,The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28
petrochemical_process_emissions,MtCO2/a,float,The emission of petrochemical production. From UNFCCC for 2015 for EU28
petrochemical_process _emissions,MtCO2/a,float,The emission of petrochemical production. From UNFCCC for 2015 for EU28
HVC_primary_fraction,--,float,The fraction of high value chemicals (HVC) produced via primary route
HVC_mechanical_recycling_fraction,--,float,The fraction of high value chemicals (HVC) produced using mechanical recycling
HVC_chemical_recycling_fraction,--,float,The fraction of high value chemicals (HVC) produced using chemical recycling
HVC_mechanical_recycling _fraction,--,float,The fraction of high value chemicals (HVC) produced using mechanical recycling
HVC_chemical_recycling _fraction,--,float,The fraction of high value chemicals (HVC) produced using chemical recycling
,,,
HVC_production_today,MtHVC/a,float,"The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107"
MWh_elec_per_tHVC_mechanical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756."
MWh_elec_per_tHVC_chemical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125"
chlorine_production_today,MtCl/a,float,"The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43"
Mwh_elec_per_tHVC _mechanical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756."
Mwh_elec_per_tHVC _chemical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125"
,,,
chlorine_production _today,MtCl/a,float,"The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43"
MWh_elec_per_tCl,MWh/tCl,float,"The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43"
MWh_H2_per_tCl,MWhH2/tCl,float,"The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43"
methanol_production_today,MtMeOH/a,float,"The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62"
methanol_production _today,MtMeOH/a,float,"The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62"
MWh_elec_per_tMeOH,MWh/tMeOH,float,"The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65"
MWh_CH4_per_tMeOH,MWhCH4/tMeOH,float,"The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65"
hotmaps_locate_missing,--,"{true,false}",Locate industrial sites without valid locations based on city and countries.

1 Unit Values Description
2 St_primary_fraction -- Dictionary with planning horizons as keys. The fraction of steel produced via primary route versus secondary route (scrap+EAF). Current fraction is 0.6
3 DRI_fraction -- Dictionary with planning horizons as keys. The fraction of the primary route DRI + EAF
4 H2_DRI -- float The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_
5 elec_DRI H2_DRI MWh/tSt -- float The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_ The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in `Vogl et al (2018) <https://doi.org/10.1016/j.jclepro.2018.08.279>`_
6 Al_primary_fraction elec_DRI -- MWh/tSt Dictionary with planning horizons as keys. float The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4 The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_
7 MWh_NH3_per_tNH3 Al_primary_fraction LHV -- float Dictionary with planning horizons as keys. The energy amount per ton of ammonia. The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4
8 MWh_CH4_per_tNH3_SMR MWh_NH3_per_tNH3 -- LHV float The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_ The energy amount per ton of ammonia.
9 MWh_elec_per_tNH3_SMR MWh_CH4_per_tNH3_SMR -- float The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3 The energy amount of methane needed to produce a ton of ammonia using steam methane reforming (SMR). Value derived from 2012's demand from `Center for European Policy Studies (2008) <https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf>`_
10 MWh_H2_per_tNH3_electrolysis MWh_elec_per_tNH3_SMR -- float The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy) The energy amount of electricity needed to produce a ton of ammonia using steam methane reforming (SMR). same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3
11 MWh_elec_per_tNH3_electrolysis Mwh_H2_per_tNH3 _electrolysis -- float The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB) The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Base value assumed around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)
12 MWh_NH3_per_MWh_H2_cracker Mwh_elec_per_tNH3 _electrolysis -- float The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From `Wang et al (2018) <https://doi.org/10.1016/j.joule.2018.04.017>`_, Table 13 (air separation and HB)
13 NH3_process_emissions Mwh_NH3_per_MWh _H2_cracker MtCO2/a -- float The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28 The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker
14 petrochemical_process_emissions NH3_process_emissions MtCO2/a float The emission of petrochemical production. From UNFCCC for 2015 for EU28 The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28
15 HVC_primary_fraction petrochemical_process _emissions -- MtCO2/a float The fraction of high value chemicals (HVC) produced via primary route The emission of petrochemical production. From UNFCCC for 2015 for EU28
16 HVC_mechanical_recycling_fraction HVC_primary_fraction -- float The fraction of high value chemicals (HVC) produced using mechanical recycling The fraction of high value chemicals (HVC) produced via primary route
17 HVC_chemical_recycling_fraction HVC_mechanical_recycling _fraction -- float The fraction of high value chemicals (HVC) produced using chemical recycling The fraction of high value chemicals (HVC) produced using mechanical recycling
18 HVC_production_today HVC_chemical_recycling _fraction MtHVC/a -- float The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107 The fraction of high value chemicals (HVC) produced using chemical recycling
19 MWh_elec_per_tHVC_mechanical_recycling MWh/tHVC float The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.
20 MWh_elec_per_tHVC_chemical_recycling HVC_production_today MWh/tHVC MtHVC/a float The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125 The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Figure 16, page 107
21 chlorine_production_today Mwh_elec_per_tHVC _mechanical_recycling MtCl/a MWh/tHVC float The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43 The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) <https://doi.org/10.1016/j.resconrec.2020.105010>`_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756.
22 MWh_elec_per_tCl Mwh_elec_per_tHVC _chemical_recycling MWh/tCl MWh/tHVC float The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43 The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125
23 MWh_H2_per_tCl MWhH2/tCl float The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43
24 methanol_production_today chlorine_production _today MtMeOH/a MtCl/a float The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62 The amount of chlorine produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 7, page 43
25 MWh_elec_per_tMeOH MWh_elec_per_tCl MWh/tMeOH MWh/tCl float The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65 The energy amount of electricity needed to produce a ton of chlorine. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 6 page 43
26 MWh_CH4_per_tMeOH MWh_H2_per_tCl MWhCH4/tMeOH MWhH2/tCl float The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65 The energy amount of hydrogen needed to produce a ton of chlorine. The value is negative since hydrogen produced in chloralkali process. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 43
27 hotmaps_locate_missing methanol_production _today -- MtMeOH/a {true,false} float Locate industrial sites without valid locations based on city and countries. The amount of methanol produced. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 62
28 reference_year MWh_elec_per_tMeOH year MWh/tMeOH YYYY float The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 <https://data.jrc.ec.europa.eu/dataset/jrc-10110-10001>`_ The energy amount of electricity needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65
29 MWh_CH4_per_tMeOH MWhCH4/tMeOH float The energy amount of methane needed to produce a ton of methanol. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, Table 14, page 65
30 hotmaps_locate_missing -- {true,false} Locate industrial sites without valid locations based on city and countries.

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doc/configtables/sector.csv
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@ -2,55 +2,55 @@
district_heating,--,,`prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_
-- potential,--,float,maximum fraction of urban demand which can be supplied by district heating
-- progress,--,Dictionary with planning horizons as keys., Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating
-- district_heating_loss,--,float,Percentage increase in district heat demand in urban central due to heat losses
-- district_heating_loss,--,float,Share increase in district heat demand in urban central due to heat losses
cluster_heat_buses,--,"{true, false}",Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.
bev_dsm_restriction_value,--,float,Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM
bev_dsm_restriction_time,--,float,Time at which SOC of BEV has to be dsm_restriction_value
transport_heating_deadband_upper,°C,float,"The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases."
transport_heating_deadband_lower,°C,float,"The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases."
ICE_lower_degree_factor,--,float,Percentage increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.
ICE_upper_degree_factor,--,float,Percentage increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.
EV_lower_degree_factor,--,float,Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.
EV_upper_degree_factor,--,float,Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.
,,,
bev_dsm_restriction _value,--,float,Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM
bev_dsm_restriction _time,--,float,Time at which SOC of BEV has to be dsm_restriction_value
transport_heating _deadband_upper,°C,float,"The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases."
transport_heating _deadband_lower,°C,float,"The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases."
,,,
ICE_lower_degree_factor,--,float,Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.
ICE_upper_degree_factor,--,float,Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.
EV_lower_degree_factor,--,float,Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.
EV_upper_degree_factor,--,float,Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.
bev_dsm,--,"{true, false}",Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM)
bev_availability,--,float,The percentage for battery electric vehicles (BEV) that are able to do demand side management (DSM)
,,,
bev_availability,--,float,The share for battery electric vehicles (BEV) that are able to do demand side management (DSM)
bev_energy,--,float,The average size of battery electric vehicles (BEV) in MWh
bev_charge_efficiency,--,float,Battery electric vehicles (BEV) charge and discharge efficiency
bev_plug_to_wheel_efficiency,km/kWh,float,The distance battery electric vehicles (BEV) can travel in km per kWh of energy charge in battery. Base value comes from `Tesla Model S <https://www.fueleconomy.gov/feg/>`_
bev_plug_to_wheel _efficiency,km/kWh,float,The distance battery electric vehicles (BEV) can travel in km per kWh of energy charge in battery. Base value comes from `Tesla Model S <https://www.fueleconomy.gov/feg/>`_
bev_charge_rate,MWh,float,The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.
bev_avail_max,--,float,The maximum percentage plugged-in availability for passenger electric vehicles.
bev_avail_mean,--,float,The average percentage plugged-in availability for passenger electric vehicles.
bev_avail_max,--,float,The maximum share plugged-in availability for passenger electric vehicles.
bev_avail_mean,--,float,The average share plugged-in availability for passenger electric vehicles.
v2g,--,"{true, false}",Allows feed-in to grid from EV battery
land_transport_fuel_cell_share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses fuel cells in a given year
land_transport_electric_share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses electric vehicles (EV) in a given year
land_transport_ice_share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.
transport_fuel_cell_efficiency,--,float,The H2 conversion efficiencies of fuel cells in transport
transport_internal_combustion_efficiency,--,float,The oil conversion efficiencies of internal combustion engine (ICE) in transport
agriculture_machinery_electric_share,--,float,The percentage for agricultural machinery that uses electricity
agriculture_machinery_oil_share,--,float,The percentage for agricultural machinery that uses oil
agriculture_machinery_fuel_efficiency,--,float,The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.
agriculture_machinery_electric_efficiency,--,float,The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.
MWh_MeOH_per_MWh_H2,LHV,float,"The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
land_transport_fuel_cell _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses fuel cells in a given year
land_transport_electric _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses electric vehicles (EV) in a given year
land_transport_ice _share,--,Dictionary with planning horizons as keys.,The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.
transport_fuel_cell _efficiency,--,float,The H2 conversion efficiencies of fuel cells in transport
transport_internal _combustion_efficiency,--,float,The oil conversion efficiencies of internal combustion engine (ICE) in transport
agriculture_machinery _electric_share,--,float,The share for agricultural machinery that uses electricity
agriculture_machinery _oil_share,--,float,The share for agricultural machinery that uses oil
agriculture_machinery _fuel_efficiency,--,float,The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.
agriculture_machinery _electric_efficiency,--,float,The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.
Mwh_MeOH_per_MWh_H2,LHV,float,"The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
MWh_MeOH_per_tCO2,LHV,float,"The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
MWh_MeOH_per_MWh_e,LHV,float,"The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64."
shipping_hydrogen_liquefaction,--,"{true, false}",Whether to include liquefaction costs for hydrogen demand in shipping.
shipping_hydrogen _liquefaction,--,"{true, false}",Whether to include liquefaction costs for hydrogen demand in shipping.
,,,
shipping_hydrogen_share,--,Dictionary with planning horizons as keys.,The share of ships powered by hydrogen in a given year
shipping_methanol_share,--,Dictionary with planning horizons as keys.,The share of ships powered by methanol in a given year
shipping_oil_share,--,Dictionary with planning horizons as keys.,The share of ships powered by oil in a given year
shipping_methanol_efficiency,--,float,"The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_"
shipping_methanol _efficiency,--,float,The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_
,,,
shipping_oil_efficiency,--,float,The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011
aviation_demand_factor,--,float,The proportion of demand for aviation compared to today's consumption
HVC_demand_factor,--,float,The proportion of demand for high-value chemicals compared to today's consumption
,,,
time_dep_hp_cop,--,"{true, false}",Consider the time dependent coefficient of performance (COP) of the heat pump
heat_pump_sink_T,°C,float,The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings
reduce_space_heat_exogenously,--,"{true, false}",Influence on space heating demand by a certain factor (applied before losses in district heating).
reduce_space_heat_exogenously_factor,--,Dictionary with planning horizons as keys.,"A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_"
reduce_space_heat _exogenously,--,"{true, false}",Influence on space heating demand by a certain factor (applied before losses in district heating).
reduce_space_heat _exogenously_factor,--,Dictionary with planning horizons as keys.,"A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_"
retrofitting,,,
-- retro_endogen,--,"{true, false}",Add retrofitting as an endogenous system which co-optimise space heat savings.
-- cost_factor,--,float,Weight costs for building renovation
@ -79,7 +79,7 @@ allam_cycle,--,"{true, false}",Add option to include `Allam cycle gas power plan
hydrogen_fuel_cell,--,"{true, false}",Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs
hydrogen_turbine,--,"{true, false}",Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs
SMR,--,"{true, false}",Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR)
regional_co2_sequestration_potential,,,
regional_co2 _sequestration_potential,,,
-- enable,--,"{true, false}",Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.
-- attribute,--,string,Name of the attribute for the sequestration potential
-- include_onshore,--,"{true, false}",Add options for including onshore sequestration potentials
@ -89,32 +89,32 @@ regional_co2_sequestration_potential,,,
co2_sequestration_potential,MtCO2/a,float,The potential of sequestering CO2 in Europe per year
co2_sequestration_cost,currency/tCO2,float,The cost of sequestering a ton of CO2
co2_spatial,--,"{true, false}","Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites."
,,,
co2network,--,"{true, false}",Add option for planning a new carbon dioxide transmission network
,,,
cc_fraction,--,float,The default fraction of CO2 captured with post-combustion capture
hydrogen_underground_storage,--,"{true, false}",Add options for storing hydrogen underground. Storage potential depends regionally.
hydrogen_underground_storage_locations,,"{onshore, nearshore, offshore}","The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively."
hydrogen_underground _storage,--,"{true, false}",Add options for storing hydrogen underground. Storage potential depends regionally.
hydrogen_underground _storage_locations,,"{onshore, nearshore, offshore}","The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively."
,,,
ammonia,--,"{true, false, regional}","Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or ""regional"" (regionalised NH3 without network)"
min_part_load_fischer_tropsch,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process
min_part_load_methanolisation,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the methanolisation process
use_fischer_tropsch_waste_heat,--,"{true, false}",Add option for using waste heat of Fischer Tropsch in district heating networks
min_part_load_fischer _tropsch,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process
min_part_load _methanolisation,per unit of p_nom ,float,The minimum unit dispatch (``p_min_pu``) for the methanolisation process
,,,
use_fischer_tropsch _waste_heat,--,"{true, false}",Add option for using waste heat of Fischer Tropsch in district heating networks
use_fuel_cell_waste_heat,--,"{true, false}",Add option for using waste heat of fuel cells in district heating networks
use_electrolysis_waste_heat,--,"{true, false}",Add option for using waste heat of electrolysis in district heating networks
electricity_distribution_grid,--,"{true, false}",Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.
electricity_distribution_grid_cost_factor,,,Multiplies the investment cost of the electricity distribution grid
electricity_grid_connection,--,"{true, false}",Add the cost of electricity grid connection for onshore wind and solar
use_electrolysis_waste _heat,--,"{true, false}",Add option for using waste heat of electrolysis in district heating networks
electricity_distribution _grid,--,"{true, false}",Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.
electricity_distribution _grid_cost_factor,,,Multiplies the investment cost of the electricity distribution grid
,,,
electricity_grid _connection,--,"{true, false}",Add the cost of electricity grid connection for onshore wind and solar
H2_network,--,"{true, false}",Add option for new hydrogen pipelines
gas_network,--,"{true, false}","Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well."
H2_retrofit,--,"{true, false}","Add option for retrofiting existing pipelines to transport hydrogen. "
H2_retrofit_capacity_per_CH4,--,float,"The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity."
gas_network_connectivity_upgrade ,--,float,The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network
H2_retrofit,--,"{true, false}",Add option for retrofiting existing pipelines to transport hydrogen.
H2_retrofit_capacity _per_CH4,--,float,"The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity."
gas_network_connectivity _upgrade ,--,float,The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network
gas_distribution_grid,--,"{true, false}",Add a gas distribution grid
gas_distribution_grid_cost_factor,,,Multiplier for the investment cost of the gas distribution grid
gas_distribution_grid _cost_factor,,,Multiplier for the investment cost of the gas distribution grid
,,,
biomass_spatial,--,"{true, false}",Add option for resolving biomass demand regionally
biomass_transport,--,"{true, false}",Add option for transporting solid biomass between nodes
conventional_generation,,,Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.

1 Unit Values Description
2 district_heating -- `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_
3 -- potential -- float maximum fraction of urban demand which can be supplied by district heating
4 -- progress -- Dictionary with planning horizons as keys. Increase of today's district heating demand to potential maximum district heating share. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating
5 -- district_heating_loss -- float Percentage increase in district heat demand in urban central due to heat losses Share increase in district heat demand in urban central due to heat losses
6 cluster_heat_buses -- {true, false} Cluster residential and service heat buses in `prepare_sector_network.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/prepare_sector_network.py>`_ to one to save memory.
7 bev_dsm_restriction_value -- float Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM
8 bev_dsm_restriction_time bev_dsm_restriction _value -- float Time at which SOC of BEV has to be dsm_restriction_value Adds a lower state of charge (SOC) limit for battery electric vehicles (BEV) to manage its own energy demand (DSM). Located in `build_transport_demand.py <https://github.com/PyPSA/pypsa-eur-sec/blob/master/scripts/build_transport_demand.py>`_. Set to 0 for no restriction on BEV DSM
9 transport_heating_deadband_upper bev_dsm_restriction _time °C -- float The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases. Time at which SOC of BEV has to be dsm_restriction_value
10 transport_heating_deadband_lower transport_heating _deadband_upper °C float The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases. The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases.
11 ICE_lower_degree_factor transport_heating _deadband_lower -- °C float Percentage increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature. The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.
12 ICE_upper_degree_factor -- float Percentage increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.
13 EV_lower_degree_factor ICE_lower_degree_factor -- float Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature. Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.
14 EV_upper_degree_factor ICE_upper_degree_factor -- float Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature. Share increase in energy demand in internal combustion engine (ICE) for each degree difference between the hot environment and the maximum temperature.
15 bev_dsm EV_lower_degree_factor -- {true, false} float Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM) Share increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.
16 bev_availability EV_upper_degree_factor -- float The percentage for battery electric vehicles (BEV) that are able to do demand side management (DSM) Share increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.
17 bev_energy bev_dsm -- float {true, false} The average size of battery electric vehicles (BEV) in MWh Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM)
18 bev_charge_efficiency -- float Battery electric vehicles (BEV) charge and discharge efficiency
19 bev_plug_to_wheel_efficiency bev_availability km/kWh -- float The distance battery electric vehicles (BEV) can travel in km per kWh of energy charge in battery. Base value comes from `Tesla Model S <https://www.fueleconomy.gov/feg/>`_ The share for battery electric vehicles (BEV) that are able to do demand side management (DSM)
20 bev_charge_rate bev_energy MWh -- float The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW. The average size of battery electric vehicles (BEV) in MWh
21 bev_avail_max bev_charge_efficiency -- float The maximum percentage plugged-in availability for passenger electric vehicles. Battery electric vehicles (BEV) charge and discharge efficiency
22 bev_avail_mean bev_plug_to_wheel _efficiency -- km/kWh float The average percentage plugged-in availability for passenger electric vehicles. The distance battery electric vehicles (BEV) can travel in km per kWh of energy charge in battery. Base value comes from `Tesla Model S <https://www.fueleconomy.gov/feg/>`_
23 v2g bev_charge_rate -- MWh {true, false} float Allows feed-in to grid from EV battery The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.
24 land_transport_fuel_cell_share bev_avail_max -- Dictionary with planning horizons as keys. float The share of vehicles that uses fuel cells in a given year The maximum share plugged-in availability for passenger electric vehicles.
25 land_transport_electric_share bev_avail_mean -- Dictionary with planning horizons as keys. float The share of vehicles that uses electric vehicles (EV) in a given year The average share plugged-in availability for passenger electric vehicles.
26 land_transport_ice_share v2g -- Dictionary with planning horizons as keys. {true, false} The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE. Allows feed-in to grid from EV battery
27 transport_fuel_cell_efficiency land_transport_fuel_cell _share -- float Dictionary with planning horizons as keys. The H2 conversion efficiencies of fuel cells in transport The share of vehicles that uses fuel cells in a given year
28 transport_internal_combustion_efficiency land_transport_electric _share -- float Dictionary with planning horizons as keys. The oil conversion efficiencies of internal combustion engine (ICE) in transport The share of vehicles that uses electric vehicles (EV) in a given year
29 agriculture_machinery_electric_share land_transport_ice _share -- float Dictionary with planning horizons as keys. The percentage for agricultural machinery that uses electricity The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.
30 agriculture_machinery_oil_share transport_fuel_cell _efficiency -- float The percentage for agricultural machinery that uses oil The H2 conversion efficiencies of fuel cells in transport
31 agriculture_machinery_fuel_efficiency transport_internal _combustion_efficiency -- float The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs. The oil conversion efficiencies of internal combustion engine (ICE) in transport
32 agriculture_machinery_electric_efficiency agriculture_machinery _electric_share -- float The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs. The share for agricultural machinery that uses electricity
33 MWh_MeOH_per_MWh_H2 agriculture_machinery _oil_share LHV -- float The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64. The share for agricultural machinery that uses oil
34 MWh_MeOH_per_tCO2 agriculture_machinery _fuel_efficiency LHV -- float The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64. The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.
35 MWh_MeOH_per_MWh_e agriculture_machinery _electric_efficiency LHV -- float The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64. The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.
36 shipping_hydrogen_liquefaction Mwh_MeOH_per_MWh_H2 -- LHV {true, false} float Whether to include liquefaction costs for hydrogen demand in shipping. The energy amount of the produced methanol per energy amount of hydrogen. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.
37 shipping_hydrogen_share MWh_MeOH_per_tCO2 -- LHV Dictionary with planning horizons as keys. float The share of ships powered by hydrogen in a given year The energy amount of the produced methanol per ton of CO2. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.
38 shipping_methanol_share MWh_MeOH_per_MWh_e -- LHV Dictionary with planning horizons as keys. float The share of ships powered by methanol in a given year The energy amount of the produced methanol per energy amount of electricity. From `DECHEMA (2017) <https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf>`_, page 64.
39 shipping_oil_share shipping_hydrogen _liquefaction -- Dictionary with planning horizons as keys. {true, false} The share of ships powered by oil in a given year Whether to include liquefaction costs for hydrogen demand in shipping.
40 shipping_methanol_efficiency -- float The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_
41 shipping_oil_efficiency shipping_hydrogen_share -- float Dictionary with planning horizons as keys. The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011 The share of ships powered by hydrogen in a given year
42 aviation_demand_factor shipping_methanol_share -- float Dictionary with planning horizons as keys. The proportion of demand for aviation compared to today's consumption The share of ships powered by methanol in a given year
43 HVC_demand_factor shipping_oil_share -- float Dictionary with planning horizons as keys. The proportion of demand for high-value chemicals compared to today's consumption The share of ships powered by oil in a given year
44 time_dep_hp_cop shipping_methanol _efficiency -- {true, false} float Consider the time dependent coefficient of performance (COP) of the heat pump The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs (propulsion). The efficiency increase from oil can be 10-15% higher according to the `IEA <https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf>`_
45 heat_pump_sink_T °C float The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings
46 reduce_space_heat_exogenously shipping_oil_efficiency -- {true, false} float Influence on space heating demand by a certain factor (applied before losses in district heating). The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011
47 reduce_space_heat_exogenously_factor aviation_demand_factor -- Dictionary with planning horizons as keys. float A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_ The proportion of demand for aviation compared to today's consumption
48 retrofitting HVC_demand_factor -- float The proportion of demand for high-value chemicals compared to today's consumption
49 -- retro_endogen -- {true, false} Add retrofitting as an endogenous system which co-optimise space heat savings.
50 -- cost_factor time_dep_hp_cop -- float {true, false} Weight costs for building renovation Consider the time dependent coefficient of performance (COP) of the heat pump
51 -- interest_rate heat_pump_sink_T -- °C float The interest rate for investment in building components The temperature heat sink used in heat pumps based on DTU / large area radiators. The value is conservatively high to cover hot water and space heating in poorly-insulated buildings
52 -- annualise_cost reduce_space_heat _exogenously -- {true, false} Annualise the investment costs of retrofitting Influence on space heating demand by a certain factor (applied before losses in district heating).
53 -- tax_weighting reduce_space_heat _exogenously_factor -- {true, false} Dictionary with planning horizons as keys. Weight the costs of retrofitting depending on taxes in countries A positive factor can mean renovation or demolition of a building. If the factor is negative, it can mean an increase in floor area, increased thermal comfort, population growth. The default factors are determined by the `Eurocalc Homes and buildings decarbonization scenario <http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221>`_
54 -- construction_index retrofitting -- {true, false} Weight the costs of retrofitting depending on labour/material costs per country
55 tes -- retro_endogen -- {true, false} Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES) Add retrofitting as an endogenous system which co-optimise space heat savings.
56 tes_tau -- cost_factor -- float The time constant used to calculate the decay of thermal energy in thermal energy storage (TES): 1- :math:`e^{-1/24τ}`. Weight costs for building renovation
79 -- include_onshore hydrogen_fuel_cell -- {true, false} Add options for including onshore sequestration potentials Add option to include hydrogen fuel cell for re-electrification. Assuming OCGT technology costs
80 -- min_size hydrogen_turbine Gt -- float {true, false} Any sites with lower potential than this value will be excluded Add option to include hydrogen turbine for re-electrification. Assuming OCGT technology costs
81 -- max_size SMR Gt -- float {true, false} The maximum sequestration potential for any one site. Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR)
82 -- years_of_storage regional_co2 _sequestration_potential years float The years until potential exhausted at optimised annual rate
83 co2_sequestration_potential -- enable MtCO2/a -- float {true, false} The potential of sequestering CO2 in Europe per year Add option for regionally-resolved geological carbon dioxide sequestration potentials based on `CO2StoP <https://setis.ec.europa.eu/european-co2-storage-database_en>`_.
84 co2_sequestration_cost -- attribute currency/tCO2 -- float string The cost of sequestering a ton of CO2 Name of the attribute for the sequestration potential
85 co2_spatial -- include_onshore -- {true, false} Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites. Add options for including onshore sequestration potentials
89 hydrogen_underground_storage_locations co2_sequestration_potential MtCO2/a {onshore, nearshore, offshore} float The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively. The potential of sequestering CO2 in Europe per year
90 ammonia co2_sequestration_cost -- currency/tCO2 {true, false, regional} float Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network) The cost of sequestering a ton of CO2
91 min_part_load_fischer_tropsch co2_spatial per unit of p_nom -- float {true, false} The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process Add option to spatially resolve carrier representing stored carbon dioxide. This allows for more detailed modelling of CCUTS, e.g. regarding the capturing of industrial process emissions, usage as feedstock for electrofuels, transport of carbon dioxide, and geological sequestration sites.
92 min_part_load_methanolisation per unit of p_nom float The minimum unit dispatch (``p_min_pu``) for the methanolisation process
93 use_fischer_tropsch_waste_heat co2network -- {true, false} Add option for using waste heat of Fischer Tropsch in district heating networks Add option for planning a new carbon dioxide transmission network
94 use_fuel_cell_waste_heat -- {true, false} Add option for using waste heat of fuel cells in district heating networks
95 use_electrolysis_waste_heat cc_fraction -- {true, false} float Add option for using waste heat of electrolysis in district heating networks The default fraction of CO2 captured with post-combustion capture
96 electricity_distribution_grid hydrogen_underground _storage -- {true, false} Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link. Add options for storing hydrogen underground. Storage potential depends regionally.
97 electricity_distribution_grid_cost_factor hydrogen_underground _storage_locations {onshore, nearshore, offshore} Multiplies the investment cost of the electricity distribution grid The location where hydrogen underground storage can be located. Onshore, nearshore, offshore means it must be located more than 50 km away from the sea, within 50 km of the sea, or within the sea itself respectively.
98 electricity_grid_connection -- {true, false} Add the cost of electricity grid connection for onshore wind and solar
99 H2_network ammonia -- {true, false} {true, false, regional} Add option for new hydrogen pipelines Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network)
100 gas_network min_part_load_fischer _tropsch -- per unit of p_nom {true, false} float Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well. The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process
101 H2_retrofit min_part_load _methanolisation -- per unit of p_nom {true, false} float Add option for retrofiting existing pipelines to transport hydrogen. The minimum unit dispatch (``p_min_pu``) for the methanolisation process
102 H2_retrofit_capacity_per_CH4 -- float The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.
103 gas_network_connectivity_upgrade use_fischer_tropsch _waste_heat -- float {true, false} The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network Add option for using waste heat of Fischer Tropsch in district heating networks
104 gas_distribution_grid use_fuel_cell_waste_heat -- {true, false} Add a gas distribution grid Add option for using waste heat of fuel cells in district heating networks
105 gas_distribution_grid_cost_factor use_electrolysis_waste _heat -- {true, false} Multiplier for the investment cost of the gas distribution grid Add option for using waste heat of electrolysis in district heating networks
106 biomass_spatial electricity_distribution _grid -- {true, false} Add option for resolving biomass demand regionally Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.
107 biomass_transport electricity_distribution _grid_cost_factor -- {true, false} Add option for transporting solid biomass between nodes Multiplies the investment cost of the electricity distribution grid
108 conventional_generation Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.
109 biomass_to_liquid electricity_grid _connection -- {true, false} Add option for transforming solid biomass into liquid fuel with the same properties as oil Add the cost of electricity grid connection for onshore wind and solar
110 biosng H2_network -- {true, false} Add option for transforming solid biomass into synthesis gas with the same properties as natural gas Add option for new hydrogen pipelines
111 gas_network -- {true, false} Add existing natural gas infrastructure, incl. LNG terminals, production and entry-points. The existing gas network is added with a lossless transport model. A length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ can be run to add new candidate gas pipelines such that all regions of the model can be connected to the gas network. When activated, all the gas demands are regionally disaggregated as well.
112 H2_retrofit -- {true, false} Add option for retrofiting existing pipelines to transport hydrogen.
113 H2_retrofit_capacity _per_CH4 -- float The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines. The `European Hydrogen Backbone (April, 2020) p.15 <https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf>`_ 60% of original natural gas capacity could be used in cost-optimal case as H2 capacity.
114 gas_network_connectivity _upgrade -- float The number of desired edge connectivity (k) in the length-weighted `k-edge augmentation algorithm <https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.html#networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation>`_ used for the gas network
115 gas_distribution_grid -- {true, false} Add a gas distribution grid
116 gas_distribution_grid _cost_factor Multiplier for the investment cost of the gas distribution grid
117
118 biomass_spatial -- {true, false} Add option for resolving biomass demand regionally
119 biomass_transport -- {true, false} Add option for transporting solid biomass between nodes
120 conventional_generation Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.

60
doc/configuration.rst
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@ -24,7 +24,7 @@ Top-level configuration
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/toplevel.csv
.. _run_cf:
@ -45,7 +45,7 @@ The ``run`` section is used for running and storing scenarios with different con
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/run.csv
.. _foresight_cf:
@ -60,7 +60,7 @@ The ``run`` section is used for running and storing scenarios with different con
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/foresight.csv
.. note::
@ -105,7 +105,7 @@ An exemplary dependency graph (starting from the simplification rules) then look
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/scenario.csv
.. _countries:
@ -120,7 +120,7 @@ An exemplary dependency graph (starting from the simplification rules) then look
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/countries.csv
.. _snapshots_cf:
@ -137,7 +137,7 @@ Specifies the temporal range to build an energy system model for as arguments to
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/snapshots.csv
.. _enable_cf:
@ -154,7 +154,7 @@ Switches for some rules and optional features.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/enable.csv
.. _CO2_budget_cf:
@ -169,7 +169,7 @@ Switches for some rules and optional features.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/co2_budget.csv
.. note::
@ -188,7 +188,7 @@ Switches for some rules and optional features.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/electricity.csv
.. _atlite_cf:
@ -205,7 +205,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/atlite.csv
.. _renewable_cf:
@ -223,7 +223,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/onwind.csv
.. note::
@ -245,7 +245,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/offwind-ac.csv
.. note::
@ -268,7 +268,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/offwind-dc.csv
.. note::
@ -285,7 +285,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/solar.csv
.. note::
@ -307,7 +307,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/hydro.csv
.. _lines_cf:
@ -329,7 +329,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/conventional.csv
``lines``
@ -342,7 +342,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/lines.csv
.. _links_cf:
@ -357,7 +357,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/links.csv
.. _transformers_cf:
@ -372,7 +372,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/transformers.csv
.. _load_cf:
@ -387,7 +387,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/load.csv
.. _energy_cf:
@ -405,7 +405,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/energy.csv
.. _biomass_cf:
@ -423,7 +423,7 @@ overwrite the existing values.
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/biomass.csv
The list of available biomass is given by the category in `ENSPRESO_BIOMASS <https://cidportal.jrc.ec.europa.eu/ftp/jrc-opendata/ENSPRESO/ENSPRESO_BIOMASS.xlsx>`_, namely:
@ -461,7 +461,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/solar-thermal.csv
.. _existing_capacities_cf:
@ -479,7 +479,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/existing_capacities.csv
.. _sector_cf:
@ -497,7 +497,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/sector.csv
.. _industry_cf:
@ -515,7 +515,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/industry.csv
.. _costs_cf:
@ -530,7 +530,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/costs.csv
.. note::
@ -549,7 +549,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/clustering.csv
.. note::
@ -572,7 +572,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/solving.csv
.. _plotting_cf:
@ -589,5 +589,5 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. csv-table::
:header-rows: 1
:widths: 25,7,22,30
:widths: 22,7,22,33
:file: configtables/plotting.csv

16
doc/tutorial.rst
View File

@ -32,7 +32,7 @@ configuration, execute
.. code:: bash
:class: full-width
snakemake -call results/test-elec/networks/elec_s_6_ec_lcopt_Co2L-24H.nc --configfile test/config.electricity.yaml
snakemake -call results/test-elec/networks/elec_s_6_ec_lcopt_Co2L-24H.nc --configfile config/test/config.electricity.yaml
This configuration is set to download a reduced data set via the rules :mod:`retrieve_databundle`,
:mod:`retrieve_natura_raster`, :mod:`retrieve_cutout`.
@ -115,7 +115,7 @@ clustered down to 6 buses and every 24 hours aggregated to one snapshot. The com
.. code:: bash
snakemake -call results/test-elec/networks/elec_s_6_ec_lcopt_Co2L-24H.nc --configfile test/config.electricity.yaml
snakemake -call results/test-elec/networks/elec_s_6_ec_lcopt_Co2L-24H.nc --configfile config/test/config.electricity.yaml
orders ``snakemake`` to run the rule :mod:`solve_network` that produces the solved network and stores it in ``results/networks`` with the name ``elec_s_6_ec_lcopt_Co2L-24H.nc``:
@ -276,18 +276,18 @@ You can produce any output file occurring in the ``Snakefile`` by running
For example, you can explore the evolution of the PyPSA networks by running
#. ``snakemake resources/networks/base.nc -call --configfile test/config.electricity.yaml``
#. ``snakemake resources/networks/elec.nc -call --configfile test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s.nc -call --configfile test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s_6.nc -call --configfile test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s_6_ec_lcopt_Co2L-24H.nc -call --configfile test/config.electricity.yaml``
#. ``snakemake resources/networks/base.nc -call --configfile config/test/config.electricity.yaml``
#. ``snakemake resources/networks/elec.nc -call --configfile config/test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s.nc -call --configfile config/test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s_6.nc -call --configfile config/test/config.electricity.yaml``
#. ``snakemake resources/networks/elec_s_6_ec_lcopt_Co2L-24H.nc -call --configfile config/test/config.electricity.yaml``
To run all combinations of wildcard values provided in the ``config/config.yaml`` under ``scenario:``,
you can use the collection rule ``solve_elec_networks``.
.. code:: bash
snakemake -call solve_elec_networks --configfile test/config.electricity.yaml
snakemake -call solve_elec_networks --configfile config/test/config.electricity.yaml
If you now feel confident and want to tackle runs with larger temporal and
spatial scope, clean-up the repository and after modifying the ``config/config.yaml`` file

12
doc/tutorial_sector.rst
View File

@ -35,7 +35,7 @@ configuration options. In the example below, we say that the gas network should
be added and spatially resolved. We also say that the existing gas network may
be retrofitted to transport hydrogen instead.
.. literalinclude:: ../test/config.overnight.yaml
.. literalinclude:: ../config/test/config.overnight.yaml
:language: yaml
:start-at: sector:
:end-before: solving:
@ -45,7 +45,7 @@ Documentation for all options will be added successively to :ref:`config`.
Scenarios can be defined like for electricity-only studies, but with additional
wildcard options.
.. literalinclude:: ../test/config.overnight.yaml
.. literalinclude:: ../config/test/config.overnight.yaml
:language: yaml
:start-at: scenario:
:end-before: countries:
@ -59,7 +59,7 @@ To run an overnight / greenfiled scenario with the specifications above, run
.. code:: bash
snakemake -call --configfile test/config.overnight.yaml all
snakemake -call --configfile config/test/config.overnight.yaml all
which will result in the following *additional* jobs ``snakemake`` wants to run
on top of those already included in the electricity-only tutorial:
@ -294,7 +294,7 @@ Scenarios can be defined like for electricity-only studies, but with additional
wildcard options. For the myopic foresight mode, the ``{planning_horizons}`` wildcard
defines the sequence of investment horizons.
.. literalinclude:: ../test/config.myopic.yaml
.. literalinclude:: ../config/test/config.myopic.yaml
:language: yaml
:start-at: scenario:
:end-before: countries:
@ -304,7 +304,7 @@ For allowed wildcard values, refer to :ref:`wildcards`.
In the myopic foresight mode, you can tweak for instance exogenously given transition paths, like the one for
the share of primary steel production we change below:
.. literalinclude:: ../test/config.myopic.yaml
.. literalinclude:: ../config/test/config.myopic.yaml
:language: yaml
:start-at: industry:
:end-before: solving:
@ -318,7 +318,7 @@ To run a myopic foresight scenario with the specifications above, run
.. code:: bash
snakemake -call --configfile test/config.myopic.yaml all
snakemake -call --configfile config/test/config.myopic.yaml all
which will result in the following *additional* jobs ``snakemake`` wants to run: