finalized config documentation

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virio-andreyana 2023-07-05 01:51:50 +02:00
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6 changed files with 197 additions and 215 deletions

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@ -2,7 +2,7 @@
#
# SPDX-License-Identifier: CC0-1.0
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#top-level-configuration
version: 0.8.0
tutorial: false
@ -10,18 +10,18 @@ logging:
level: INFO
format: '%(levelname)s:%(name)s:%(message)s'
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#run
run:
name: ""
disable_progressbar: false
shared_resources: false
shared_cutouts: true
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#foresight
foresight: overnight
# docs in
# Wildcard docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#scenario
# Wildcard docs in https://pypsa-eur.readthedocs.io/en/latest/wildcards.html
scenario:
simpl:
- ''
@ -43,16 +43,16 @@ scenario:
# - 2040
- 2050
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#countries
countries: ['AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MK', 'NL', 'NO', 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK']
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#snapshots
snapshots:
start: "2013-01-01"
end: "2014-01-01"
inclusive: 'left'
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#enable
enable:
prepare_links_p_nom: false
retrieve_databundle: true
@ -64,7 +64,7 @@ enable:
retrieve_natura_raster: true
custom_busmap: false
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#co2-budget
co2_budget:
2020: 0.701
2025: 0.524
@ -74,7 +74,7 @@ co2_budget:
2045: 0.032
2050: 0.000
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#electricity
electricity:
voltages: [220., 300., 380.]
gaslimit: false
@ -99,7 +99,6 @@ electricity:
Link: [] # H2 pipeline
powerplants_filter: (DateOut >= 2022 or DateOut != DateOut)
# use pandas query strings here, e.g. Country in ['Germany']
custom_powerplants: false
conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
@ -107,25 +106,19 @@ electricity:
estimate_renewable_capacities:
enable: true
# Add capacities from OPSD data
from_opsd: true
# Renewable capacities are based on existing capacities reported by IRENA
year: 2020
# Artificially limit maximum capacities to factor * (IRENA capacities),
# i.e. 110% of <years>'s capacities => expansion_limit: 1.1
# false: Use estimated renewable potentials determine by the workflow
expansion_limit: false
technology_mapping:
# Wind is the Fueltype in powerplantmatching, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
Offshore: [offwind-ac, offwind-dc]
Onshore: [onwind]
PV: [solar]
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#atlite
atlite:
default_cutout: europe-2013-era5
nprocesses: 4
show_progress: false # false saves time
show_progress: false
cutouts:
# use 'base' to determine geographical bounds and time span from config
# base:
@ -148,7 +141,7 @@ atlite:
sarah_dir:
features: [influx, temperature]
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#renewable
renewable:
onwind:
cutout: europe-2013-era5
@ -217,12 +210,12 @@ renewable:
hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float
clip_min_inflow: 1.0
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#conventional
conventional:
nuclear:
p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#lines
lines:
types:
220.: "Al/St 240/40 2-bundle 220.0"
@ -233,20 +226,20 @@ lines:
length_factor: 1.25
under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#links
links:
p_max_pu: 1.0
p_nom_max: .inf
include_tyndp: true
under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#transformers
transformers:
x: 0.1
s_nom: 2000.
type: ''
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#load
load:
power_statistics: true
interpolate_limit: 3
@ -254,6 +247,7 @@ load:
manual_adjustments: true # false
scaling_factor: 1.0
# docs
# TODO: PyPSA-Eur merge issue in prepare_sector_network.py
# regulate what components with which carriers are kept from PyPSA-Eur;
# some technologies are removed because they are implemented differently
@ -275,14 +269,14 @@ pypsa_eur:
- hydro
Store: []
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#energy
energy:
energy_totals_year: 2011
base_emissions_year: 1990
eurostat_report_year: 2016
emissions: CO2 # "CO2" or "All greenhouse gases - (CO2 equivalent)"
emissions: CO2
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#biomass
biomass:
year: 2030
scenario: ENS_Med
@ -308,15 +302,14 @@ biomass:
- Manure solid, liquid
- Sludge
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solar-thermal
solar_thermal:
clearsky_model: simple # should be "simple" or "enhanced"?
orientation:
slope: 45.
azimuth: 180.
# docs under construction in
# only relevant for foresight = myopic or perfect
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#existing-capacities
existing_capacities:
grouping_years_power: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, 2025, 2030]
grouping_years_heat: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019] # these should not extend 2020
@ -327,37 +320,34 @@ existing_capacities:
- oil
- uranium
# docs under construction in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#sector
sector:
district_heating:
potential: 0.6 # 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 = 0 means today's district heating share, progress = 1 means maximum fraction of urban demand is supplied by district heating
potential: 0.6
progress:
2020: 0.0
2030: 0.3
2040: 0.6
2050: 1.0
district_heating_loss: 0.15
cluster_heat_buses: false # cluster residential and service heat buses to one to save memory
bev_dsm_restriction_value: 0.75 #Set to 0 for no restriction on BEV DSM
bev_dsm_restriction_time: 7 #Time at which SOC of BEV has to be dsm_restriction_value
cluster_heat_buses: false
bev_dsm_restriction_value: 0.75
bev_dsm_restriction_time: 7
transport_heating_deadband_upper: 20.
transport_heating_deadband_lower: 15.
ICE_lower_degree_factor: 0.375 #in per cent increase in fuel consumption per degree above deadband
ICE_lower_degree_factor: 0.375
ICE_upper_degree_factor: 1.6
EV_lower_degree_factor: 0.98
EV_upper_degree_factor: 0.63
bev_dsm: true #turns on EV battery
bev_availability: 0.5 #How many cars do smart charging
bev_energy: 0.05 #average battery size in MWh
bev_charge_efficiency: 0.9 #BEV (dis-)charging efficiency
bev_plug_to_wheel_efficiency: 0.2 #kWh/km from EPA https://www.fueleconomy.gov/feg/ for Tesla Model S
bev_charge_rate: 0.011 #3-phase charger with 11 kW
bev_dsm: true
bev_availability: 0.5
bev_energy: 0.05
bev_charge_efficiency: 0.9
bev_plug_to_wheel_efficiency: 0.2
bev_charge_rate: 0.011
bev_avail_max: 0.95
bev_avail_mean: 0.8
v2g: true #allows feed-in to grid from EV battery
#what is not EV or FCEV is oil-fuelled ICE
v2g: true
land_transport_fuel_cell_share:
2020: 0
2030: 0.05
@ -377,12 +367,12 @@ sector:
transport_internal_combustion_efficiency: 0.3
agriculture_machinery_electric_share: 0
agriculture_machinery_oil_share: 1
agriculture_machinery_fuel_efficiency: 0.7 # fuel oil per use
agriculture_machinery_electric_efficiency: 0.3 # electricity per use
MWh_MeOH_per_MWh_H2: 0.8787 # in LHV, source: DECHEMA (2017): Low carbon energy and feedstock for the European chemical industry , pg. 64.
MWh_MeOH_per_tCO2: 4.0321 # in LHV, source: DECHEMA (2017): Low carbon energy and feedstock for the European chemical industry , pg. 64.
MWh_MeOH_per_MWh_e: 3.6907 # in LHV, source: DECHEMA (2017): Low carbon energy and feedstock for the European chemical industry , pg. 64.
shipping_hydrogen_liquefaction: false # whether to consider liquefaction costs for shipping H2 demands
agriculture_machinery_fuel_efficiency: 0.7
agriculture_machinery_electric_efficiency: 0.3
MWh_MeOH_per_MWh_H2: 0.8787
MWh_MeOH_per_tCO2: 4.0321
MWh_MeOH_per_MWh_e: 3.6907
shipping_hydrogen_liquefaction: false
shipping_hydrogen_share:
2020: 0
2030: 0
@ -398,18 +388,14 @@ sector:
2030: 0.7
2040: 0.3
2050: 0
shipping_methanol_efficiency: 0.46 # 10-15% higher https://www.iea-amf.org/app/webroot/files/file/Annex%20Reports/AMF_Annex_56.pdf, https://users.ugent.be/~lsileghe/documents/extended_abstract.pdf
shipping_oil_efficiency: 0.40 #For conversion of fuel oil to propulsion in 2011
aviation_demand_factor: 1. # relative aviation demand compared to today
HVC_demand_factor: 1. # relative HVC demand compared to today
time_dep_hp_cop: true #time dependent heat pump coefficient of performance
heat_pump_sink_T: 55. # Celsius, based on DTU / large area radiators; used in build_cop_profiles.py
# conservatively high to cover hot water and space heating in poorly-insulated buildings
reduce_space_heat_exogenously: true # reduces space heat demand by a given factor (applied before losses in DH)
# this can represent e.g. building renovation, building demolition, or if
# the factor is negative: increasing floor area, increased thermal comfort, population growth
reduce_space_heat_exogenously_factor: # per unit reduction in space heat demand
# the default factors are determined by the LTS scenario from http://tool.european-calculator.eu/app/buildings/building-types-area/?levers=1ddd4444421213bdbbbddd44444ffffff11f411111221111211l212221
shipping_methanol_efficiency: 0.46
shipping_oil_efficiency: 0.40
aviation_demand_factor: 1.
HVC_demand_factor: 1.
time_dep_hp_cop: true
heat_pump_sink_T: 55.
reduce_space_heat_exogenously: true
reduce_space_heat_exogenously_factor:
2020: 0.10 # this results in a space heat demand reduction of 10%
2025: 0.09 # first heat demand increases compared to 2020 because of larger floor area per capita
2030: 0.09
@ -417,15 +403,15 @@ sector:
2040: 0.16
2045: 0.21
2050: 0.29
retrofitting: # co-optimises building renovation to reduce space heat demand
retro_endogen: false # co-optimise space heat savings
cost_factor: 1.0 # weight costs for building renovation
interest_rate: 0.04 # for investment in building components
annualise_cost: true # annualise the investment costs
tax_weighting: false # weight costs depending on taxes in countries
construction_index: true # weight costs depending on labour/material costs per country
retrofitting:
retro_endogen: false
cost_factor: 1.0
interest_rate: 0.04
annualise_cost: true
tax_weighting: false
construction_index: true
tes: true
tes_tau: # 180 day time constant for centralised, 3 day for decentralised
tes_tau:
decentral: 3
central: 180
boilers: true
@ -446,51 +432,48 @@ sector:
hydrogen_turbine: false
SMR: true
regional_co2_sequestration_potential:
enable: false # enable regionally resolved geological co2 storage potential
enable: false
attribute: 'conservative estimate Mt'
include_onshore: false # include onshore sequestration potentials
min_size: 3 # Gt, sites with lower potential will be excluded
max_size: 25 # Gt, max sequestration potential for any one site, TODO research suitable value
years_of_storage: 25 # years until potential exhausted at optimised annual rate
co2_sequestration_potential: 200 #MtCO2/a sequestration potential for Europe
co2_sequestration_cost: 10 #EUR/tCO2 for sequestration of CO2
include_onshore: false
min_size: 3
max_size: 25
years_of_storage: 25
co2_sequestration_potential: 200
co2_sequestration_cost: 10
co2_spatial: false
co2network: false
cc_fraction: 0.9 # default fraction of CO2 captured with post-combustion capture
cc_fraction: 0.9
hydrogen_underground_storage: true
hydrogen_underground_storage_locations:
# - onshore # more than 50 km from sea
- nearshore # within 50 km of sea
# - offshore
ammonia: false # can be false (no NH3 carrier), true (copperplated NH3), "regional" (regionalised NH3 without network)
min_part_load_fischer_tropsch: 0.9 # p_min_pu
min_part_load_methanolisation: 0.5 # p_min_pu
ammonia: false
min_part_load_fischer_tropsch: 0.9
min_part_load_methanolisation: 0.5
use_fischer_tropsch_waste_heat: true
use_fuel_cell_waste_heat: true
use_electrolysis_waste_heat: false
electricity_distribution_grid: true
electricity_distribution_grid_cost_factor: 1.0 #multiplies cost in data/costs.csv
electricity_grid_connection: true # only applies to onshore wind and utility PV
electricity_distribution_grid_cost_factor: 1.0
electricity_grid_connection: true
H2_network: true
gas_network: false
H2_retrofit: false # if set to True existing gas pipes can be retrofitted to H2 pipes
# according to 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: 0.6 # ratio for H2 capacity per original CH4 capacity of retrofitted pipelines
gas_network_connectivity_upgrade: 1 # 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
H2_retrofit: false
H2_retrofit_capacity_per_CH4: 0.6
gas_network_connectivity_upgrade: 1
gas_distribution_grid: true
gas_distribution_grid_cost_factor: 1.0 #multiplies cost in data/costs.csv
biomass_spatial: false # regionally resolve biomass (e.g. potentials)
biomass_transport: false # allow transport of solid biomass between nodes
conventional_generation: # generator : carrier
gas_distribution_grid_cost_factor: 1.0
biomass_spatial: false
biomass_transport: false
conventional_generation:
OCGT: gas
biomass_to_liquid: false
biosng: false
# docs under construction in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#industry
industry:
St_primary_fraction: # fraction of steel produced via primary route versus secondary route (scrap+EAF); today fraction is 0.6
St_primary_fraction:
2020: 0.6
2025: 0.55
2030: 0.5
@ -498,7 +481,7 @@ industry:
2040: 0.4
2045: 0.35
2050: 0.3
DRI_fraction: # fraction of the primary route converted to DRI + EAF
DRI_fraction:
2020: 0
2025: 0
2030: 0.05
@ -506,9 +489,9 @@ industry:
2040: 0.4
2045: 0.7
2050: 1
H2_DRI: 1.7 #H2 consumption in Direct Reduced Iron (DRI), MWh_H2,LHV/ton_Steel from 51kgH2/tSt in Vogl et al (2018) doi:10.1016/j.jclepro.2018.08.279
elec_DRI: 0.322 #electricity consumption in Direct Reduced Iron (DRI) shaft, MWh/tSt HYBRIT brochure https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf
Al_primary_fraction: # fraction of aluminium produced via the primary route versus scrap; today fraction is 0.4
H2_DRI: 1.7
elec_DRI: 0.322
Al_primary_fraction:
2020: 0.4
2025: 0.375
2030: 0.35
@ -516,33 +499,30 @@ industry:
2040: 0.3
2045: 0.25
2050: 0.2
MWh_NH3_per_tNH3: 5.166 # LHV
MWh_CH4_per_tNH3_SMR: 10.8 # 2012's demand from https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf
MWh_elec_per_tNH3_SMR: 0.7 # same source, assuming 94-6% split methane-elec of total energy demand 11.5 MWh/tNH3
MWh_H2_per_tNH3_electrolysis: 6.5 # from https://doi.org/10.1016/j.joule.2018.04.017, around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy)
MWh_elec_per_tNH3_electrolysis: 1.17 # from https://doi.org/10.1016/j.joule.2018.04.017 Table 13 (air separation and HB)
MWh_NH3_per_tNH3: 5.166
MWh_CH4_per_tNH3_SMR: 10.8
MWh_elec_per_tNH3_SMR: 0.7
MWh_H2_per_tNH3_electrolysis: 6.5
MWh_elec_per_tNH3_electrolysis: 1.17
MWh_NH3_per_MWh_H2_cracker: 1.46 # https://github.com/euronion/trace/blob/44a5ff8401762edbef80eff9cfe5a47c8d3c8be4/data/efficiencies.csv
NH3_process_emissions: 24.5 # in MtCO2/a from SMR for H2 production for NH3 from UNFCCC for 2015 for EU28
petrochemical_process_emissions: 25.5 # in MtCO2/a for petrochemical and other from UNFCCC for 2015 for EU28
HVC_primary_fraction: 1. # fraction of today's HVC produced via primary route
HVC_mechanical_recycling_fraction: 0. # fraction of today's HVC produced via mechanical recycling
HVC_chemical_recycling_fraction: 0. # fraction of today's HVC produced via chemical recycling
HVC_production_today: 52. # MtHVC/a from DECHEMA (2017), Figure 16, page 107; includes ethylene, propylene and BTX
MWh_elec_per_tHVC_mechanical_recycling: 0.547 # from SI of 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: 6.9 # Material Economics (2019), page 125; based on pyrolysis and electric steam cracking
chlorine_production_today: 9.58 # MtCl/a from DECHEMA (2017), Table 7, page 43
MWh_elec_per_tCl: 3.6 # DECHEMA (2017), Table 6, page 43
MWh_H2_per_tCl: -0.9372 # DECHEMA (2017), page 43; negative since hydrogen produced in chloralkali process
methanol_production_today: 1.5 # MtMeOH/a from DECHEMA (2017), page 62
MWh_elec_per_tMeOH: 0.167 # DECHEMA (2017), Table 14, page 65
MWh_CH4_per_tMeOH: 10.25 # DECHEMA (2017), Table 14, page 65
NH3_process_emissions: 24.5
petrochemical_process_emissions: 25.5
HVC_primary_fraction: 1.
HVC_mechanical_recycling_fraction: 0.
HVC_chemical_recycling_fraction: 0.
HVC_production_today: 52.
MWh_elec_per_tHVC_mechanical_recycling: 0.547
MWh_elec_per_tHVC_chemical_recycling: 6.9
chlorine_production_today: 9.58
MWh_elec_per_tCl: 3.6
MWh_H2_per_tCl: -0.9372
methanol_production_today: 1.5
MWh_elec_per_tMeOH: 0.167
MWh_CH4_per_tMeOH: 10.25
hotmaps_locate_missing: false
reference_year: 2015
# references:
# DECHEMA (2017): https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry-p-20002750.pdf
# Material Economics (2019): https://materialeconomics.com/latest-updates/industrial-transformation-2050
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs
costs:
year: 2030
version: v0.5.0
@ -572,7 +552,7 @@ costs:
emission_prices:
co2: 0.
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#clustering
clustering:
simplify_network:
to_substations: false
@ -596,7 +576,7 @@ clustering:
ramp_limit_down: max
efficiency: mean
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#solving
solving:
#tmpdir: "path/to/tmp"
options:
@ -670,7 +650,7 @@ solving:
mem: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
# docs in
# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#plotting
plotting:
map:
boundaries: [-11, 30, 34, 71]

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,DESKTOP-2RNCH2B/kunde,,05.07.2023 01:09,file:///C:/Users/kunde/AppData/Roaming/LibreOffice/4;

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@ -1,11 +1,11 @@
,Unit,Values,Description
voltages,kV,"Any subset of {220., 300., 380.}",Voltage levels to consider
gaslimit,MWhth,"float or false",Global gas usage limit
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>`_"
-- activate,bool,"true or false","Whether to take operational reserve requirements into account during optimisation"
operational_reserve,,,Settings for reserve requirements following like `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
-- contingency,MW,float,fixed reserve capacity
@ -13,7 +13,7 @@ max_hours,,,
-- battery,h,float,Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
-- H2,h,float,Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
extendable_carriers,,,
-- Generator,--,"Any extendable carrier","Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0."
-- Generator,--,Any extendable carrier,"Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0."
-- 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``.
@ -22,8 +22,8 @@ custom_powerplants,--,"use `pandas.query <https://pandas.pydata.org/pandas-docs/
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"
-- from_opsd,--,bool,"Add capacities from OPSD data"
-- year,--,bool,"Renewable capacities are based on existing capacities reported by IRENA for the specified year"
-- expansion_limit,--,float or false,"Artificially limit maximum capacities to factor * (IRENA capacities), i.e. 110% of <years>'s capacities => expansion_limit: 1.1 false: Use estimated renewable potentials determine by the workflow"
-- technology_mapping,,,"Mapping between powerplantmatching and PyPSA-Eur technology names"
-- enable,,bool,Activate routine to estimate renewable capacities
-- from_opsd,--,bool,Add capacities from OPSD data
-- year,--,bool,Renewable capacities are based on existing capacities reported by IRENA for the specified year
-- 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."
-- technology_mapping,,,Mapping between powerplantmatching and PyPSA-Eur technology names

1 Unit Values Description
2 voltages kV Any subset of {220., 300., 380.} Voltage levels to consider
3 gaslimit MWhth float or false Global gas usage limit
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>`_
8 -- activate bool true or false Whether to take operational reserve requirements into account during optimisation
9 -- epsilon_load -- float share of total load
10 -- epsilon_vres -- float share of total renewable supply
11 -- contingency MW float fixed reserve capacity
13 -- battery h float Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
14 -- H2 h float Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
15 extendable_carriers
16 -- Generator -- Any extendable carrier Defines existing or non-existing conventional and renewable power plants to be extendable during the optimization. Conventional generators can only be built/expanded where already existent today. If a listed conventional carrier is not included in the ``conventional_carriers`` list, the lower limit of the capacity expansion is set to 0.
17 -- 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.
18 -- 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 -- 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``.
22 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.
23 renewable_carriers -- Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro} 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 -- year -- bool Renewable capacities are based on existing capacities reported by IRENA for the specified year
28 -- expansion_limit -- float or false Artificially limit maximum capacities to factor * (IRENA capacities), i.e. 110% of <years>'s capacities => expansion_limit: 1.1 false: Use estimated renewable potentials determine by the workflow 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 -- technology_mapping Mapping between powerplantmatching and PyPSA-Eur technology names

View File

@ -1,28 +1,28 @@
,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
H2_DRI,--,float,The hydrogen consumption in Direct Reduced Iron (DRI) Mwh_H2 LHV/ton_Steel from 51kgH2/tSt in Vogl et al (2018) doi:10.1016/j.jclepro.2018.08.279
elec_DRI,--,float,The electricity consumed in Direct Reduced Iron (DRI) shaft. MWh/tSt 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
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 https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf
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 HaberBosch process. From https://doi.org/10.1016/j.joule.2018.04.017, 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 HaberBosch process. From 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. https://github.com/euronion/trace/blob/44a5ff8401762edbef80eff9cfe5a47c8d3c8be4/data/efficiencies.csv
NH3_process_emissions,MtCO2/a,float,The emission of ammonia production from steam methane reforming (SMR)
petrochemical_process_emissions,MtCO2/a,float,The emission of petrochemical production
MWh_H2_per_tNH3_electrolysis,--,float,"The energy amount of hydrogen needed to produce a ton of ammonia using HaberBosch 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 HaberBosch 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
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_production_today,MtHVC/a,float,The amount of high value chemicals (HVC) produced
MWh_elec_per_tHVC_mechanical_recycling,--,float,The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling
MWh_elec_per_tHVC_chemical_recycling,--,float,The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling
chlorine_production_today,MtCl/a,float,The amount of chlorine produced
MWh_elec_per_tCl,--,float,The energy amount of electricity needed to produce a ton of chlorine
MWh_H2_per_tCl,--,float,The energy amount of hydrogen needed to produce a ton of chlorine
methanol_production_today,MtMeOH/a,float,The amount of methanol produced
MWh_elec_per_tMeOH,--,float,The energy amount of electricity needed to produce a ton of methanol
MWh_CH4_per_tMeOH,--,float,The energy amount of methane needed to produce a ton of methanol
hotmaps_locate_missing,--,true or false,Locate industrial sites without valid locations based on city and countries.
reference_year,--,year,
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"
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"
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.
reference_year,year,YYYY,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>`_

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
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) doi:10.1016/j.jclepro.2018.08.279 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 -- MWh/tSt float The electricity consumed in Direct Reduced Iron (DRI) shaft. MWh/tSt HYBRIT brochure https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf The electricity consumed in Direct Reduced Iron (DRI) shaft. From `HYBRIT brochure <https://ssabwebsitecdn.azureedge.net/-/media/hybrit/files/hybrit_brochure.pdf>`_
6 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 The fraction of aluminium produced via the primary route versus scrap. Current fraction is 0.4
7 MWh_NH3_per_tNH3 LHV float The energy amount per ton of ammonia.
8 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 https://ec.europa.eu/docsroom/documents/4165/attachments/1/translations/en/renditions/pdf 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>`_
9 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
10 MWh_H2_per_tNH3_electrolysis -- float The energy amount of hydrogen needed to produce a ton of ammonia using Haber–Bosch process. From https://doi.org/10.1016/j.joule.2018.04.017, around 0.197 tH2/tHN3 (>3/17 since some H2 lost and used for energy) 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)
11 MWh_elec_per_tNH3_electrolysis -- float The energy amount of electricity needed to produce a ton of ammonia using Haber–Bosch process. From https://doi.org/10.1016/j.joule.2018.04.017 Table 13 (air separation and HB) 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)
12 MWh_NH3_per_MWh_H2_cracker -- float The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker. https://github.com/euronion/trace/blob/44a5ff8401762edbef80eff9cfe5a47c8d3c8be4/data/efficiencies.csv The energy amount of amonia needed to produce an energy amount hydrogen using ammonia cracker
13 NH3_process_emissions MtCO2/a float The emission of ammonia production from steam methane reforming (SMR) The emission of ammonia production from steam methane reforming (SMR). From UNFCCC for 2015 for EU28
14 petrochemical_process_emissions MtCO2/a float The emission of petrochemical production The emission of petrochemical production. From UNFCCC for 2015 for EU28
15 HVC_primary_fraction -- float The fraction of today's high value chemicals (HVC) produced via primary route
16 HVC_mechanical_recycling_fraction -- float The fraction of today's high value chemicals (HVC) produced using mechanical recycling
17 HVC_chemical_recycling_fraction -- float The fraction of today's high value chemicals (HVC) produced using chemical recycling
18 HVC_production_today MtHVC/a float The amount of high value chemicals (HVC) produced 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 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 -- MWh/tHVC float The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling 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
21 chlorine_production_today MtCl/a float The amount of chlorine produced 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_tCl -- MWh/tCl float The energy amount of electricity needed to produce a ton of chlorine 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 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 MtMeOH/a float The amount of methanol produced 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_tMeOH -- MWh/tMeOH float The energy amount of electricity needed to produce a ton of methanol 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_CH4_per_tMeOH -- MWhCH4/tMeOH float The energy amount of methane needed to produce a ton of methanol 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
27 hotmaps_locate_missing -- true or false {true,false} Locate industrial sites without valid locations based on city and countries.
28 reference_year -- year year YYYY 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>`_

View File

@ -2,9 +2,9 @@
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
-- district_heating_loss,--,float,
-- 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>`_.
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
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."
@ -16,54 +16,54 @@ bev_dsm,--,"{true, false}",Add the option for battery electric vehicles (BEV) to
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
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.
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
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. source: DECHEMA (2017): Low carbon energy and feedstock for the European chemical industry page 64.
MWh_MeOH_per_tCO2,LHV,float,The energy amount of the produced methanol per ton of CO2
MWh_MeOH_per_MWh_e,LHV,float,The energy amount of the produced methanol per energy amount of electricity
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_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.
shipping_oil_efficiency,--,float,The efficiency of oil-powered ships in the conversion of oil to meet shipping needs.
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
time_dep_hp_cop,--,"{true, false}",
heat_pump_sink_T,°C,float,
reduce_space_heat_exogenously,--,"{true, false}",
reduce_space_heat_exogenously_factor,--,Dictionary with planning horizons as keys.,
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>`_"
retrofitting,,,
-- retro_endogen,--,"{true, false}",Add retrofitting as an endogenous system which co-optimise space heat savings.
-- cost_factor,,,Weight costs for building renovation
-- interest_rate,,,The interest rate for investment in building components
-- cost_factor,--,float,Weight costs for building renovation
-- interest_rate,--,float,The interest rate for investment in building components
-- annualise_cost,--,"{true, false}",Annualise the investment costs of retrofitting
-- tax_weighting,--,"{true, false}",Weight the costs of retrofitting depending on taxes in countries
-- construction_index,--,"{true, false}",Weight the costs of retrofitting depending on labour/material costs per country
tes,--,"{true, false}",Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES)
tes_tau,,,
-- decentral,,,
-- central,,,
tes_tau,,,The time constant used to calculate the decay of thermal energy in thermal energy storage (TES): 1- :math:`e^{-1/24τ}`.
-- decentral,days,float,The time constant in decentralized thermal energy storage (TES)
-- central,days,float,The time constant in centralized thermal energy storage (TES)
boilers,--,"{true, false}",Add option for transforming electricity into heat using resistive heater
oil_boilers,--,"{true, false}",Add option for transforming oil into heat using boilers
biomass_boiler,--,"{true, false}",Add option for transforming biomass into heat using boilers
chp,--,"{true, false}",Add option for using Combined Heat and Power (CHP)
micro_chp,--,"{true, false}",Add option for using Combined Heat and Power (CHP) for decentral areas.
solar_thermal,--,"{true, false}",Add option for using solar to generate heat.
solar_cf_correction,,,
marginal_cost_storage,,,
solar_thermal,--,"{true, false}",Add option for using solar thermal to generate heat.
solar_cf_correction,--,float,The correction factor for the value provided by the solar thermal profile calculations
marginal_cost_storage,currency/MWh ,float,The marginal cost of discharging batteries in distributed grids
methanation,--,"{true, false}",Add option for transforming hydrogen and CO2 into methane using methanation.
helmeth,--,"{true, false}",Add option for transforming power into gas using HELMETH (Integrated High-Temperature ELectrolysis and METHanation for Effective Power to Gas Conversion)
coal_cc,--,"{true, false}",Add option for coal CHPs with carbon capture
@ -75,21 +75,21 @@ hydrogen_turbine,--,"{true, false}",Add option to include hydrogen turbine for r
SMR,--,"{true, false}",Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR)
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,,,
-- include_onshore,,"{true, false}",Add options for including onshore sequestration potentials
-- min_size,,float,Any sites with lower potential than this value will be excluded
-- max_size,,float,The maximum sequestration potential for any one site.
-- years_of_storage,,float,The years until potential exhausted at optimised annual rate
-- attribute,--,string,Name of the attribute for the sequestration potential
-- include_onshore,--,"{true, false}",Add options for including onshore sequestration potentials
-- min_size,Gt ,float,Any sites with lower potential than this value will be excluded
-- max_size,Gt ,float,The maximum sequestration potential for any one site.
-- 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,EUR/tCO2,float,The cost of sequestering a ton of CO2
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
cc_fraction,,,The default fraction of CO2 captured with post-combustion capture
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.“"
ammonia,--,"{true, false, regional}","Add ammonia as a carrrier. It can be either true (copperplated NH3) or ""regional"" (regionalised NH3 without network)"
min_part_load_fischer_tropsch,,,
min_part_load_methanolisation,,,
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
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
@ -97,9 +97,10 @@ electricity_distribution_grid,--,"{true, false}",Add a electricity distribution
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 natural gas infrastructure, incl. LNG terminals, production and entry-points"
H2_retrofit,--,"{true, false}",Add option for retrofiting existing pipelines to transport hydrogen
H2_retrofit_capacity_per_CH4,,,
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
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
biomass_spatial,--,"{true, false}",Add option for resolving biomass demand regionally

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
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
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.
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>`_. 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
8 bev_dsm_restriction_time -- float Time at which SOC of BEV has to be dsm_restriction_value
9 transport_heating_deadband_upper °C float The minimum temperature in the vehicle. At lower temperatures, the energy required for heating in the vehicle increases.
10 transport_heating_deadband_lower °C float The maximum temperature in the vehicle. At higher temperatures, the energy required for cooling in the vehicle increases.
16 bev_availability -- float 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_charge_efficiency -- float Battery electric vehicles (BEV) charge and discharge efficiency
19 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/ 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_rate MWh float The power consumption for one electric vehicle (EV) in MWh. Value derived from 3-phase charger with 11 kW.
21 bev_avail_max -- float The maximum percentage plugged-in availability for passenger electric vehicles.
22 bev_avail_mean -- float The average percentage plugged-in availability for passenger electric vehicles.
23 v2g -- {true, false} Allows feed-in to grid from EV battery
24 land_transport_fuel_cell_share -- Dictionary with planning horizons as keys. The share of vehicles that uses fuel cells in a given year
25 land_transport_electric_share -- Dictionary with planning horizons as keys. The share of vehicles that uses electric vehicles (EV) in a given year
26 land_transport_ice_share -- Dictionary with planning horizons as keys. The share of vehicles that uses internal combustion engines (ICE) in a given year The share of vehicles that uses internal combustion engines (ICE) in a given year. What is not EV or FCEV is oil-fuelled ICE.
27 transport_fuel_cell_efficiency -- float The H2 conversion efficiencies of fuel cells in transport
28 transport_internal_combustion_efficiency -- float The oil conversion efficiencies of internal combustion engine (ICE) in transport
29 agriculture_machinery_electric_share -- float The percentage for agricultural machinery that uses electricity
30 agriculture_machinery_oil_share -- float The percentage for agricultural machinery that uses oil
31 agriculture_machinery_fuel_efficiency -- float The efficiency of electric-powered machinery in the conversion of electricity to meet agricultural needs.
32 agriculture_machinery_electric_efficiency -- float The efficiency of oil-powered machinery in the conversion of oil to meet agricultural needs.
33 MWh_MeOH_per_MWh_H2 LHV float The energy amount of the produced methanol per energy amount of hydrogen. source: DECHEMA (2017): Low carbon energy and feedstock for the European chemical industry page 64. 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.
34 MWh_MeOH_per_tCO2 LHV float The energy amount of the produced methanol per ton of CO2 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.
35 MWh_MeOH_per_MWh_e LHV float The energy amount of the produced methanol per energy amount of electricity 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 shipping_hydrogen_liquefaction -- {true, false} Consider whether to include liquefaction costs for shipping H2 demand.
37 shipping_hydrogen_share -- Dictionary with planning horizons as keys. The share of ships powered by hydrogen in a given year
38 shipping_methanol_share -- Dictionary with planning horizons as keys. 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_methanol_efficiency -- float The efficiency of methanol-powered ships in the conversion of methanol to meet shipping needs. 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 -- float The efficiency of oil-powered ships in the conversion of oil to meet shipping needs. The efficiency of oil-powered ships in the conversion of oil to meet shipping needs (propulsion). Base value derived from 2011
42 aviation_demand_factor -- float The proportion of demand for aviation compared to today's
43 HVC_demand_factor -- float The proportion of demand for high-value chemicals compared to today's
44 time_dep_hp_cop -- {true, false} Consider the time dependent coefficient of performance (COP) of the heat pump
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 -- {true, false} Influence on space heating demand by a certain factor (applied before losses in district heating).
47 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>`_
48 retrofitting
49 -- retro_endogen -- {true, false} Add retrofitting as an endogenous system which co-optimise space heat savings.
50 -- cost_factor -- float Weight costs for building renovation
51 -- interest_rate -- float The interest rate for investment in building components
52 -- annualise_cost -- {true, false} Annualise the investment costs of retrofitting
53 -- tax_weighting -- {true, false} Weight the costs of retrofitting depending on taxes in countries
54 -- construction_index -- {true, false} Weight the costs of retrofitting depending on labour/material costs per country
55 tes -- {true, false} Add option for storing thermal energy in large water pits associated with district heating systems and individual thermal energy storage (TES)
56 tes_tau The time constant used to calculate the decay of thermal energy in thermal energy storage (TES): 1- :math:`e^{-1/24τ}`.
57 -- decentral days float The time constant in decentralized thermal energy storage (TES)
58 -- central days float The time constant in centralized thermal energy storage (TES)
59 boilers -- {true, false} Add option for transforming electricity into heat using resistive heater
60 oil_boilers -- {true, false} Add option for transforming oil into heat using boilers
61 biomass_boiler -- {true, false} Add option for transforming biomass into heat using boilers
62 chp -- {true, false} Add option for using Combined Heat and Power (CHP)
63 micro_chp -- {true, false} Add option for using Combined Heat and Power (CHP) for decentral areas.
64 solar_thermal -- {true, false} Add option for using solar to generate heat. Add option for using solar thermal to generate heat.
65 solar_cf_correction -- float The correction factor for the value provided by the solar thermal profile calculations
66 marginal_cost_storage currency/MWh float The marginal cost of discharging batteries in distributed grids
67 methanation -- {true, false} Add option for transforming hydrogen and CO2 into methane using methanation.
68 helmeth -- {true, false} Add option for transforming power into gas using HELMETH (Integrated High-Temperature ELectrolysis and METHanation for Effective Power to Gas Conversion)
69 coal_cc -- {true, false} Add option for coal CHPs with carbon capture
75 SMR -- {true, false} Add option for transforming natural gas into hydrogen and CO2 using Steam Methane Reforming (SMR)
76 regional_co2_sequestration_potential
77 -- 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>`_.
78 -- attribute -- string Name of the attribute for the sequestration potential
79 -- include_onshore -- {true, false} Add options for including onshore sequestration potentials
80 -- min_size Gt float Any sites with lower potential than this value will be excluded
81 -- max_size Gt float The maximum sequestration potential for any one site.
82 -- years_of_storage years float The years until potential exhausted at optimised annual rate
83 co2_sequestration_potential MtCO2/a float The potential of sequestering CO2 in Europe per year
84 co2_sequestration_cost EUR/tCO2 currency/tCO2 float The cost of sequestering a ton of CO2
85 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.“
86 co2network -- {true, false} Add option for planning a new carbon dioxide network
87 cc_fraction -- float The default fraction of CO2 captured with post-combustion capture
88 hydrogen_underground_storage -- {true, false} Add options for storing hydrogen underground. Storage potential depends regionally.
89 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.“
90 ammonia -- {true, false, regional} Add ammonia as a carrrier. It can be either true (copperplated NH3) or "regional" (regionalised NH3 without network) Add ammonia as a carrrier. It can be either true (copperplated NH3), false (no NH3 carrier) or "regional" (regionalised NH3 without network)
91 min_part_load_fischer_tropsch per unit of p_nom float 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 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 -- {true, false} Add option for using waste heat of electrolysis in district heating networks
97 electricity_distribution_grid_cost_factor Multiplies the investment cost of the electricity distribution grid in data/costs.csv
98 electricity_grid_connection -- {true, false} Add the cost of electricity grid connection for onshore wind and solar
99 H2_network -- {true, false} Add option for new hydrogen pipelines
100 gas_network -- {true, false} Add natural gas infrastructure, incl. LNG terminals, production and entry-points 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 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.
102 H2_retrofit_capacity_per_CH4 -- float The ratio for H2 capacity per original CH4 capacity of retrofitted pipelines
103 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
104 gas_distribution_grid -- {true, false} Add a gas distribution grid
105 gas_distribution_grid_cost_factor Multiplies the investment cost of the gas distribution grid in data/costs.csv
106 biomass_spatial -- {true, false} Add option for resolving biomass demand regionally

View File

@ -191,6 +191,9 @@ Switches for some rules and optional features.
:widths: 25,7,22,30
:file: configtables/electricity.csv
.. note::
Wind is the Fueltype in powerplantmatching, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
.. _atlite_cf:
``atlite``
@ -470,7 +473,7 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
=======================
.. note::
Only used for sector-coupling studies. The value for grouping years are only used in myopic scenarios.
Only used for sector-coupling studies. The value for grouping years are only used in myopic or perfect scenarios.
.. literalinclude:: ../config/config.default.yaml
:language: yaml
@ -508,9 +511,6 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
.. note::
Only used for sector-coupling studies.
.. warning::
More comprehensive documentation for this segment will be released soon.
.. literalinclude:: ../config/config.default.yaml
:language: yaml
:start-at: industry: