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Apply Fabian Neumann suggestions from code review

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Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
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12
doc/configtables/electricity.csv
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@ -4,7 +4,8 @@ gaslimit,MWhth,float or false,Global gas usage limit
co2limit,:math:`t_{CO_2-eq}/a`,float,Cap on total annual system carbon dioxide emissions
co2base,:math:`t_{CO_2-eq}/a`,float,Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard.
agg_p_nom_limits,file,path,Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard. Defaults to ``data/agg_p_nom_minmax.csv``.
operational_reserve,,,Settings for reserve requirements following like `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_
operational_reserve,,,Settings for reserve requirements following `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_
-- activate,bool,true or false,Whether to take operational reserve requirements into account during optimisation
-- epsilon_load,--,float,share of total load
-- epsilon_vres,--,float,share of total renewable supply
@ -17,9 +18,12 @@ extendable_carriers,,,
-- StorageUnit,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
-- Store,--,"Any subset of {'battery','H2'}",Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
-- Link,--,Any subset of {'H2 pipeline'},Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``.
powerplants_filter,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country not in ['Germany']",Filter query for the default powerplant database.
custom_powerplants,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country in ['Germany']",Filter query for the custom powerplant database.
conventional_carriers,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound."
powerplants_filter,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country not in ['Germany']``",Filter query for the default powerplant database.
custom_powerplants,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country in ['Germany']``",Filter query for the custom powerplant database.
conventional_carriers,--,"Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}","List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in ``extendable_carriers``, the capacity is taken as a lower bound."
renewable_carriers,--,"Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro}",List of renewable generators to include in the model.
estimate_renewable_capacities,,,
-- enable,,bool,Activate routine to estimate renewable capacities

1 Unit Values Description
4 co2limit :math:`t_{CO_2-eq}/a` float Cap on total annual system carbon dioxide emissions
5 co2base :math:`t_{CO_2-eq}/a` float Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard.
6 agg_p_nom_limits file path Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard. Defaults to ``data/agg_p_nom_minmax.csv``.
7 operational_reserve Settings for reserve requirements following like `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_ Settings for reserve requirements following `GenX <https://genxproject.github.io/GenX/dev/core/#Reserves>`_
8 -- activate bool true or false Whether to take operational reserve requirements into account during optimisation
9 -- activate -- epsilon_load bool -- true or false float Whether to take operational reserve requirements into account during optimisation share of total load
10 -- epsilon_load -- epsilon_vres -- float share of total load share of total renewable supply
11 -- epsilon_vres -- contingency -- MW float share of total renewable supply fixed reserve capacity
18 -- StorageUnit -- Store -- Any subset of {'battery','H2'} Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
19 -- Store -- Link -- Any subset of {'battery','H2'} Any subset of {'H2 pipeline'} Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity. Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``.
20 -- Link powerplants_filter -- Any subset of {'H2 pipeline'} use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country not in ['Germany']`` Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``. Filter query for the default powerplant database.
21 powerplants_filter custom_powerplants -- use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country not in ['Germany'] use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. ``Country in ['Germany']`` Filter query for the default powerplant database. Filter query for the custom powerplant database.
22 custom_powerplants conventional_carriers -- use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country in ['Germany'] Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass} Filter query for the custom powerplant database. List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in ``extendable_carriers``, the capacity is taken as a lower bound.
23 conventional_carriers renewable_carriers -- Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass} Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro} List of conventional power plants to include in the model from ``resources/powerplants.csv``. If an included carrier is also listed in `extendable_carriers`, the capacity is taken as a lower bound. List of renewable generators to include in the model.
24 estimate_renewable_capacities
25 -- enable bool Activate routine to estimate renewable capacities
26 -- from_opsd -- bool Add capacities from OPSD data
27 renewable_carriers -- year -- Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro} bool List of renewable generators to include in the model. Renewable capacities are based on existing capacities reported by IRENA for the specified year
28 estimate_renewable_capacities -- expansion_limit -- float or false Artificially limit maximum IRENA capacities to a factor. For example, an ``expansion_limit: 1.1`` means 110% of capacities . If false are chosen, the estimated renewable potentials determine by the workflow are used.
29 -- enable -- technology_mapping bool Activate routine to estimate renewable capacities Mapping between powerplantmatching and PyPSA-Eur technology names

9
doc/configtables/energy.csv
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@ -1,5 +1,8 @@
,Unit,Values,Description
energy_totals_year ,--,"{1990,1995,2000,2005,2010,2011,…} ",The year for the sector energy use. The year must be avaliable in the Eurostat report
base_emissions_year ,--,YYYY; e.g. ‚1990‘ ,'The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_ downloaded 201228 (modified by EEA last on 201221)‘
eurostat_report_year ,--,"{2016,2017,2018}","'The year in which the Eurostat report year are extracted. 2016 includes Bosnia and Herzegovina, 2017 does not‘"
emissions ,--,"{CO2, All greenhouse gases - (CO2 equivalent)}",Specify which sectoral emissions are taken into account. Data derived from EEA.
base_emissions_year ,--,"YYYY; e.g. 1990","The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_."
eurostat_report_year ,--,"{2016,2017,2018}","The publication year of the Eurostat report. 2016 includes Bosnia and Herzegovina, 2017 does not"
emissions ,--,"{CO2, All greenhouse gases - (CO2 equivalent)}","Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented."

1 Unit Values Description
2 energy_totals_year -- {1990,1995,2000,2005,2010,2011,…} The year for the sector energy use. The year must be avaliable in the Eurostat report
3 base_emissions_year -- YYYY; e.g. ‚1990‘ YYYY; e.g. 1990 'The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_ downloaded 201228 (modified by EEA last on 201221)‘ The base year for the sector emissions. See `European Environment Agency (EEA) <https://www.eea.europa.eu/data-and-maps/data/national-emissions-reported-to-the-unfccc-and-to-the-eu-greenhouse-gas-monitoring-mechanism-16>`_.
4 eurostat_report_year -- {2016,2017,2018} 'The year in which the Eurostat report year are extracted. 2016 includes Bosnia and Herzegovina, 2017 does not‘ The publication year of the Eurostat report. 2016 includes Bosnia and Herzegovina, 2017 does not
5 emissions -- {CO2, All greenhouse gases - (CO2 equivalent)} Specify which sectoral emissions are taken into account. Data derived from EEA. Specify which sectoral emissions are taken into account. Data derived from EEA. Currently only CO2 is implemented.
6
7
8

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doc/configtables/existing_capacities.csv
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@ -1,5 +1,6 @@
,Unit,Values,Description
grouping_years_power ,--,An array of years,Intervals to group existing capacities for power
grouping_years_heat ,--,An array of years below 2020,Intervals to group existing capacities for heat
grouping_years_power ,--,A list of years,Intervals to group existing capacities for power
grouping_years_heat ,--,A list of years below 2020,Intervals to group existing capacities for heat
threshold_capacity ,MW,float,Capacities generators and links of below threshold are removed during add_existing_capacities
conventional_carriers ,--,"Any subset of {uranium, coal, lignite, oil} ",List of conventional power plants to include in the sectoral network

1 Unit Values Description
2 grouping_years_power -- An array of years A list of years Intervals to group existing capacities for power
3 grouping_years_heat -- An array of years below 2020 A list of years below 2020 Intervals to group existing capacities for heat
4 threshold_capacity MW float Capacities generators and links of below threshold are removed during add_existing_capacities
5 threshold_capacity conventional_carriers MW -- float Any subset of {uranium, coal, lignite, oil} Capacities generators and links of below threshold are removed during add_existing_capacities List of conventional power plants to include in the sectoral network
6

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doc/configtables/industry.csv
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@ -1,6 +1,7 @@
,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 converted to DRI + EAF
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
@ -12,12 +13,14 @@ MWh_elec_per_tNH3_electrolysis,--,float,"The energy amount of electricity needed
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
HVC_primary_fraction,--,float,The fraction of today's high value chemicals (HVC) produced via primary route
HVC_mechanical_recycling_fraction,--,float,The fraction of today's high value chemicals (HVC) produced using mechanical recycling
HVC_chemical_recycling_fraction,--,float,The fraction of today's high value chemicals (HVC) produced using chemical recycling
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_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. Value are based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125"
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"

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 converted to DRI + EAF 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 H2_DRI elec_DRI -- MWh/tSt 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>`_ The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_
6 elec_DRI Al_primary_fraction MWh/tSt -- float Dictionary with planning horizons as keys. The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_ The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4
7 Al_primary_fraction MWh_NH3_per_tNH3 -- LHV Dictionary with planning horizons as keys. float The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4 The energy amount per ton of ammonia.
13 MWh_NH3_per_MWh_H2_cracker NH3_process_emissions -- MtCO2/a float The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28
14 NH3_process_emissions petrochemical_process_emissions MtCO2/a float The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28 The emission of petrochemical production. From UNFCCC for 2015 for EU28
15 petrochemical_process_emissions HVC_primary_fraction MtCO2/a -- float The emission of petrochemical production. From UNFCCC for 2015 for EU28 The fraction of high value chemicals (HVC) produced via primary route
16 HVC_primary_fraction HVC_mechanical_recycling_fraction -- float The fraction of today's high value chemicals (HVC) produced via primary route The fraction of high value chemicals (HVC) produced using mechanical recycling
17 HVC_mechanical_recycling_fraction HVC_chemical_recycling_fraction -- float The fraction of today's high value chemicals (HVC) produced using mechanical recycling The fraction of high value chemicals (HVC) produced using chemical recycling
18 HVC_chemical_recycling_fraction HVC_production_today -- MtHVC/a float The fraction of today's high value chemicals (HVC) produced using chemical recycling 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
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 HVC_production_today MWh_elec_per_tHVC_chemical_recycling MtHVC/a MWh/tHVC 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 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
21 MWh_elec_per_tHVC_mechanical_recycling chlorine_production_today MWh/tHVC MtCl/a 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. 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
22 MWh_elec_per_tHVC_chemical_recycling MWh_elec_per_tCl MWh/tHVC MWh/tCl float The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. Value are based on pyrolysis and electric steam cracking. From `Material Economics (2019) <https://materialeconomics.com/latest-updates/industrial-transformation-2050>`_, page 125 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
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 chlorine_production_today methanol_production_today MtCl/a MtMeOH/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 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
25 MWh_elec_per_tCl MWh_elec_per_tMeOH MWh/tCl MWh/tMeOH 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 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
26 MWh_H2_per_tCl MWh_CH4_per_tMeOH MWhH2/tCl MWhCH4/tMeOH 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 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

46
doc/configtables/sector.csv
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@ -1,10 +1,11 @@
,Unit,Values,Description
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 increase of today's district heating demand to potential maximum district heating share
-- progress,--,Dictionary with planning horizons as keys.,Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating
-- 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
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,Adding a stage 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
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 minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases."
transport_heating_deadband_lower,°C,float,"The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases."
@ -12,7 +13,8 @@ ICE_lower_degree_factor,--,float,Percentage increase in energy demand in interna
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,--,"{true, false}",Add the option for battery electric vehicles (BEV) to manage its own energy demand (DSM)
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_energy,--,float,The average size of battery electric vehicles (BEV) in MWh
bev_charge_efficiency,--,float,Battery electric vehicles (BEV) charge and discharge efficiency
@ -33,14 +35,17 @@ agriculture_machinery_electric_efficiency,--,float,The efficiency of oil-powered
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}",Consider whether to include liquefaction costs for shipping H2 demand.
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
HVC_demand_factor,--,float,The proportion of demand for high-value chemicals compared to today's
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).
@ -82,27 +87,32 @@ regional_co2_sequestration_potential,,,
-- years_of_storage,years,float,The years until potential exhausted at optimised annual rate
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 network
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_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
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 electricity distribution grid
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 in data/costs.csv
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. The reasoning is in accordance with the `hydrogen backbone strategy (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."
H2_retrofit_capacity_per_CH4,--,float,The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines
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,,,Multiplies the investment cost of the gas distribution grid in data/costs.csv
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 increase of today's district heating demand to potential maximum district heating share maximum fraction of urban demand which can be supplied by district heating
4 -- progress -- Dictionary with planning horizons as keys. Progress = 0 means today's district heating share. Progress = 1 means maximum fraction of urban demand is supplied by district heating 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
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. 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 Adding a stage 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 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 -- float Time at which SOC of BEV has to be dsm_restriction_value
9 bev_dsm_restriction_time transport_heating_deadband_upper -- °C float Time at which SOC of BEV has to be dsm_restriction_value The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.
10 transport_heating_deadband_upper transport_heating_deadband_lower °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 transport_heating_deadband_lower ICE_lower_degree_factor °C -- float The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases. Percentage increase in energy demand in internal combustion engine (ICE) for each degree difference between the cold environment and the minimum temperature.
13 ICE_upper_degree_factor EV_lower_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. Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature.
14 EV_lower_degree_factor EV_upper_degree_factor -- float Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the cold environment and the minimum temperature. Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature.
15 EV_upper_degree_factor bev_dsm -- float {true, false} Percentage increase in energy demand in electric vehicles (EV) for each degree difference between the hot environment and the maximum temperature. Add the option for battery electric vehicles (BEV) to participate in demand-side management (DSM)
16 bev_dsm bev_availability -- {true, false} float Add the option for battery electric vehicles (BEV) to manage its own energy demand (DSM) The percentage for battery electric vehicles (BEV) that are able to do demand side management (DSM)
17 bev_energy -- float The average size of battery electric vehicles (BEV) in MWh
18 bev_availability bev_charge_efficiency -- float The percentage for battery electric vehicles (BEV) that are able to do demand side management (DSM) Battery electric vehicles (BEV) charge and discharge efficiency
19 bev_energy bev_plug_to_wheel_efficiency -- km/kWh float The average size of battery electric vehicles (BEV) in MWh 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/>`_
20 bev_charge_efficiency bev_charge_rate -- MWh float Battery electric vehicles (BEV) charge and discharge efficiency The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.
35 MWh_MeOH_per_MWh_H2 MWh_MeOH_per_MWh_e 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 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.
36 MWh_MeOH_per_tCO2 shipping_hydrogen_liquefaction LHV -- float {true, false} 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. Whether to include liquefaction costs for hydrogen demand in shipping.
37 MWh_MeOH_per_MWh_e shipping_hydrogen_share LHV -- float Dictionary with planning horizons as keys. 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 share of ships powered by hydrogen in a given year
38 shipping_hydrogen_liquefaction shipping_methanol_share -- {true, false} Dictionary with planning horizons as keys. Consider whether to include liquefaction costs for shipping H2 demand. The share of ships powered by methanol in a given year
39 shipping_oil_share -- Dictionary with planning horizons as keys. The share of ships powered by oil in a given year
40 shipping_hydrogen_share shipping_methanol_efficiency -- Dictionary with planning horizons as keys. float The share of ships powered by hydrogen in a given year 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_methanol_share shipping_oil_efficiency -- Dictionary with planning horizons as keys. float The share of ships powered by methanol in a given year The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011
42 shipping_oil_share aviation_demand_factor -- Dictionary with planning horizons as keys. float The share of ships powered by oil in a given year The proportion of demand for aviation compared to today's consumption
43 shipping_methanol_efficiency HVC_demand_factor -- 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>`_, The proportion of demand for high-value chemicals compared to today's consumption
44 time_dep_hp_cop -- {true, false} Consider the time dependent coefficient of performance (COP) of the heat pump
45 shipping_oil_efficiency heat_pump_sink_T -- °C float The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011 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 aviation_demand_factor reduce_space_heat_exogenously -- float {true, false} The proportion of demand for aviation compared to today's Influence on space heating demand by a certain factor (applied before losses in district heating).
47 HVC_demand_factor reduce_space_heat_exogenously_factor -- float Dictionary with planning horizons as keys. The proportion of demand for high-value chemicals compared to today's 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>`_
48 retrofitting
49 time_dep_hp_cop -- retro_endogen -- {true, false} Consider the time dependent coefficient of performance (COP) of the heat pump Add retrofitting as an endogenous system which co-optimise space heat savings.
50 heat_pump_sink_T -- cost_factor °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 Weight costs for building renovation
51 reduce_space_heat_exogenously -- interest_rate -- {true, false} float Influence on space heating demand by a certain factor (applied before losses in district heating). The interest rate for investment in building components
87 -- years_of_storage cc_fraction years -- float The years until potential exhausted at optimised annual rate The default fraction of CO2 captured with post-combustion capture
88 co2_sequestration_potential hydrogen_underground_storage MtCO2/a -- float {true, false} The potential of sequestering CO2 in Europe per year Add options for storing hydrogen underground. Storage potential depends regionally.
89 co2_sequestration_cost hydrogen_underground_storage_locations currency/tCO2 float {onshore, nearshore, offshore} The cost of sequestering a ton of CO2 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.
90 co2_spatial ammonia -- {true, false} {true, false, regional} „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 ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network)
91 co2network min_part_load_fischer_tropsch -- per unit of p_nom {true, false} float Add option for planning a new carbon dioxide network The minimum unit dispatch (``p_min_pu``) for the Fischer-Tropsch process
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 -- {true, false} Add option for using waste heat of Fischer Tropsch in district heating networks
94 cc_fraction use_fuel_cell_waste_heat -- float {true, false} The default fraction of CO2 captured with post-combustion capture Add option for using waste heat of fuel cells in district heating networks
95 hydrogen_underground_storage use_electrolysis_waste_heat -- {true, false} Add options for storing hydrogen underground. Storage potential depends regionally. Add option for using waste heat of electrolysis in district heating networks
96 hydrogen_underground_storage_locations electricity_distribution_grid -- {onshore, nearshore, offshore} {true, false} „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.“ Add a simplified representation of the exchange capacity between transmission and distribution grid level through a link.
97 electricity_distribution_grid_cost_factor Multiplies the investment cost of the electricity distribution grid in data/costs.csv
98 ammonia electricity_grid_connection -- {true, false, regional} {true, false} Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network) Add the cost of electricity grid connection for onshore wind and solar
99 min_part_load_fischer_tropsch H2_network per unit of p_nom -- float {true, false} The minimum unit dispatch (p_min_pu) for the Fischer-Tropsch process Add option for new hydrogen pipelines
100 min_part_load_methanolisation gas_network per unit of p_nom -- float {true, false} The minimum unit dispatch (p_min_pu) for the methanolisation process 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.
101 H2_retrofit -- {true, false} Add option for retrofiting existing pipelines to transport hydrogen.
102 use_fischer_tropsch_waste_heat H2_retrofit_capacity_per_CH4 -- {true, false} float Add option for using waste heat of Fischer Tropsch in district heating networks 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 use_fuel_cell_waste_heat gas_network_connectivity_upgrade -- {true, false} float Add option for using waste heat of fuel cells in district heating networks 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
104 use_electrolysis_waste_heat gas_distribution_grid -- {true, false} Add option for using waste heat of electrolysis in district heating networks Add a gas distribution grid
105 electricity_distribution_grid gas_distribution_grid_cost_factor -- {true, false} Add a electricity distribution grid Multiplier for the investment cost of the gas distribution grid
106 electricity_distribution_grid_cost_factor biomass_spatial -- {true, false} Multiplies the investment cost of the electricity distribution grid in data/costs.csv Add option for resolving biomass demand regionally
107 electricity_grid_connection biomass_transport -- {true, false} Add the cost of electricity grid connection for onshore wind and solar Add option for transporting solid biomass between nodes
108 H2_network conventional_generation -- {true, false} Add option for new hydrogen pipelines Add a more detailed description of conventional carriers. Any power generation requires the consumption of fuel from nodes representing that fuel.
109 gas_network biomass_to_liquid -- {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. Add option for transforming solid biomass into liquid fuel with the same properties as oil
110 H2_retrofit biosng -- {true, false} Add option for retrofiting existing pipelines to transport hydrogen. The reasoning is in accordance with the `hydrogen backbone strategy (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. Add option for transforming solid biomass into synthesis gas with the same properties as natural gas
111
112
113
114
115
116
117
118

3
doc/configtables/solar-thermal.csv
View File

@ -1,5 +1,6 @@
,Unit,Values,Description
clearsky_model ,--,"{‘simple’, ‘enhanced’}",Type of clearsky model for diffuse irradiation
orientation ,--,"{units of degrees, ‘latitude_optimal’}",Panel orientation with slope and azimuth
-- azimuth,float,units of degrees,The angle between the north and the sun with panels on the local horizon
-- azimuth,float,units of degrees,The angle between the North and the sun with panels on the local horizon
-- slope,float,units of degrees,The angle between the ground and the panels

1 Unit Values Description
2 clearsky_model -- {‘simple’, ‘enhanced’} Type of clearsky model for diffuse irradiation
3 orientation -- {units of degrees, ‘latitude_optimal’} Panel orientation with slope and azimuth
4 -- azimuth float units of degrees The angle between the north and the sun with panels on the local horizon The angle between the North and the sun with panels on the local horizon
5 -- slope float units of degrees The angle between the ground and the panels
6