config.default.yaml

# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: CC0-1.0

version: 0.4.0
tutorial: false

logging:
  level: INFO
  format: '%(levelname)s:%(name)s:%(message)s'

summary_dir: results

scenario:
  simpl: ['']
  ll: ['copt']
  clusters: [37, 128, 256, 512, 1024]
  opts: [Co2L-3H]

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']

clustering:
  simplify:
    to_substations: false # network is simplified to nodes with positive or negative power injection (i.e. substations or offwind connections)

snapshots:
  start: "2013-01-01"
  end: "2014-01-01"
  closed: 'left' # end is not inclusive

enable:
  prepare_links_p_nom: false
  retrieve_databundle: true
  build_cutout: false
  retrieve_cutout: true
  build_natura_raster: false
  retrieve_natura_raster: true
  custom_busmap: false

electricity:
  voltages: [220., 300., 380.]
  co2limit: 7.75e+7 # 0.05 * 3.1e9*0.5
  co2base: 1.487e+9
  agg_p_nom_limits: data/agg_p_nom_minmax.csv

  extendable_carriers:
    Generator: []
    StorageUnit: [] # battery, H2
    Store: [battery, H2]
    Link: []

  max_hours:
    battery: 6
    H2: 168

  powerplants_filter: false # use pandas query strings here, e.g. Country not in ['Germany']
  custom_powerplants: false # use pandas query strings here, e.g. Country in ['Germany']
  conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
  renewable_capacities_from_OPSD: [] # onwind, offwind, solar

  # estimate_renewable_capacities_from_capacity_stats:
  #   # Wind is the Fueltype in ppm.data.Capacity_stats, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
  #   Wind: [onwind, offwind-ac, offwind-dc]
  #   Solar: [solar]

atlite:
  nprocesses: 4
  cutouts:
    # use 'base' to determine geographical bounds and time span from config
    # base: 
      # module: era5  
    europe-2013-era5:
      module: era5 # in priority order 
      x: [-12., 35.]
      y: [33., 72]
      dx: 0.3
      dy: 0.3
      time: ['2013', '2013']
    europe-2013-sarah:
      module: [sarah, era5] # in priority order 
      x: [-12., 45.]
      y: [33., 65]
      dx: 0.2
      dy: 0.2
      time: ['2013', '2013']
      sarah_interpolate: false
      sarah_dir: 
      features: [influx, temperature]

      
renewable:
  onwind:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: Vestas_V112_3MW
    capacity_per_sqkm: 3 # ScholzPhd Tab 4.3.1: 10MW/km^2
    # correction_factor: 0.93
    corine:
      # Scholz, Y. (2012). Renewable energy based electricity supply at low costs:
      #  development of the REMix model and application for Europe. ( p.42 / p.28)
      grid_codes: [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
                   24, 25, 26, 27, 28, 29, 31, 32]
      distance: 1000
      distance_grid_codes: [1, 2, 3, 4, 5, 6]
    natura: true
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  offwind-ac:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: NREL_ReferenceTurbine_5MW_offshore
    capacity_per_sqkm: 2
    correction_factor: 0.8855
    # proxy for wake losses
    # from 10.1016/j.energy.2018.08.153
    # until done more rigorously in #153
    corine: [44, 255]
    natura: true
    max_depth: 50
    max_shore_distance: 30000
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  offwind-dc:
    cutout: europe-2013-era5
    resource:
      method: wind
      turbine: NREL_ReferenceTurbine_5MW_offshore
    # ScholzPhd Tab 4.3.1: 10MW/km^2
    capacity_per_sqkm: 2
    correction_factor: 0.8855
    # proxy for wake losses
    # from 10.1016/j.energy.2018.08.153
    # until done more rigorously in #153
    corine: [44, 255]
    natura: true
    max_depth: 50
    min_shore_distance: 30000
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  solar:
    cutout: europe-2013-sarah
    resource:
      method: pv
      panel: CSi
      orientation:
        slope: 35.
        azimuth: 180.
    capacity_per_sqkm: 1.7 # ScholzPhd Tab 4.3.1: 170 MW/km^2
    # Correction factor determined by comparing uncorrected area-weighted full-load hours to those
    # published in Supplementary Data to
    # Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
    # sector: The economic potential of photovoltaics and concentrating solar
    # power." Applied Energy 135 (2014): 704-720.
    # This correction factor of 0.854337 may be in order if using reanalysis data.
    # for discussion refer to https://github.com/PyPSA/pypsa-eur/pull/304
    # correction_factor: 0.854337
    corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,
             14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
    natura: true
    potential: simple # or conservative
    clip_p_max_pu: 1.e-2
  hydro:
    cutout: europe-2013-era5
    carriers: [ror, PHS, hydro]
    PHS_max_hours: 6
    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

lines:
  types:
    220.: "Al/St 240/40 2-bundle 220.0"
    300.: "Al/St 240/40 3-bundle 300.0"
    380.: "Al/St 240/40 4-bundle 380.0"
  s_max_pu: 0.7
  s_nom_max: .inf
  length_factor: 1.25
  under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity

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

transformers:
  x: 0.1
  s_nom: 2000.
  type: ''

load:
  power_statistics: True # only for files from <2019; set false in order to get ENTSOE transparency data 
  interpolate_limit: 3 # data gaps up until this size are interpolated linearly
  time_shift_for_large_gaps: 1w # data gaps up until this size are copied by copying from 
  manual_adjustments: true # false
  scaling_factor: 1.0

costs:
  year: 2030
  discountrate: 0.07 # From a Lion Hirth paper, also reflects average of Noothout et al 2016
  USD2013_to_EUR2013: 0.7532 # [EUR/USD] ECB: https://www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxref-graph-usd.en.html
  marginal_cost: # EUR/MWh
    solar: 0.01
    onwind: 0.015
    offwind: 0.015
    hydro: 0.
    H2: 0.
    electrolysis: 0.
    fuel cell: 0.
    battery: 0.
    battery inverter: 0.
  emission_prices: # in currency per tonne emission, only used with the option Ep
    co2: 0.

solving:
  options:
    formulation: kirchhoff
    load_shedding: false
    noisy_costs: true
    min_iterations: 4
    max_iterations: 6
    clip_p_max_pu: 0.01
    skip_iterations: false
    track_iterations: false
    #nhours: 10
  solver:
    name: gurobi
    threads: 4
    method: 2 # barrier
    crossover: 0
    BarConvTol: 1.e-5
    FeasibilityTol: 1.e-6
    AggFill: 0
    PreDual: 0
    GURO_PAR_BARDENSETHRESH: 200
  # solver:
  #   name: cplex
  #   threads: 4
  #   lpmethod: 4 # barrier
  #   solutiontype: 2 # non basic solution, ie no crossover
  #   barrier.convergetol: 1.e-5
  #   feasopt.tolerance: 1.e-6

plotting:
  map:
    figsize: [7, 7]
    boundaries: [-10.2, 29, 35,  72]
    p_nom:
      bus_size_factor: 5.e+4
      linewidth_factor: 3.e+3

  costs_max: 800
  costs_threshold: 1

  energy_max: 15000.
  energy_min: -10000.
  energy_threshold: 50.

  vre_techs: ["onwind", "offwind-ac", "offwind-dc", "solar", "ror"]
  conv_techs: ["OCGT", "CCGT", "Nuclear", "Coal"]
  storage_techs: ["hydro+PHS", "battery", "H2"]
  load_carriers: ["AC load"]
  AC_carriers: ["AC line", "AC transformer"]
  link_carriers: ["DC line", "Converter AC-DC"]
  tech_colors:
    "onwind" : "#235ebc"
    "onshore wind" : "#235ebc"
    'offwind' : "#6895dd"
    'offwind-ac' : "#6895dd"
    'offshore wind' : "#6895dd"
    'offshore wind ac' : "#6895dd"
    'offwind-dc' : "#74c6f2"
    'offshore wind dc' : "#74c6f2"
    "hydro" : "#08ad97"
    "hydro+PHS" : "#08ad97"
    "PHS" : "#08ad97"
    "hydro reservoir" : "#08ad97"
    'hydroelectricity' : '#08ad97'
    "ror" : "#4adbc8"
    "run of river" : "#4adbc8"
    'solar' : "#f9d002"
    'solar PV' : "#f9d002"
    'solar thermal' : '#ffef60'
    'biomass' : '#0c6013'
    'solid biomass' : '#06540d'
    'biogas' : '#23932d'
    'waste' : '#68896b'
    'geothermal' : '#ba91b1'
    "OCGT" : "#d35050"
    "gas" : "#d35050"
    "natural gas" : "#d35050"
    "CCGT" : "#b20101"
    "nuclear" : "#ff9000"
    "coal" : "#707070"
    "lignite" : "#9e5a01"
    "oil" : "#262626"
    "H2" : "#ea048a"
    "hydrogen storage" : "#ea048a"
    "battery" : "#b8ea04"
    "Electric load" : "#f9d002"
    "electricity" : "#f9d002"
    "lines" : "#70af1d"
    "transmission lines" : "#70af1d"
    "AC-AC" : "#70af1d"
    "AC line" : "#70af1d"
    "links" : "#8a1caf"
    "HVDC links" : "#8a1caf"
    "DC-DC" : "#8a1caf"
    "DC link" : "#8a1caf"
  nice_names:
    OCGT: "Open-Cycle Gas"
    CCGT: "Combined-Cycle Gas"
    offwind-ac: "Offshore Wind (AC)"
    offwind-dc: "Offshore Wind (DC)"
    onwind: "Onshore Wind"
    solar: "Solar"
    PHS: "Pumped Hydro Storage"
    hydro: "Reservoir & Dam"
    battery: "Battery Storage"
    H2: "Hydrogen Storage"
    lines: "Transmission Lines"
    ror: "Run of River"