remove accidentally added config.default.yaml in root
This commit is contained in:
Fabian Neumann
parent
23eb3548c5
commit
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# SPDX-FileCopyrightText: : 2017-2023 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: CC0-1.0
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version: 0.7.0
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tutorial: false
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logging:
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level: INFO
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format: '%(levelname)s:%(name)s:%(message)s'
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run:
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name: "" # use this to keep track of runs with different settings
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shared_cutouts: false # set to true to share the default cutout(s) across runs
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scenario:
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simpl: ['']
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ll: ['copt']
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clusters: [39, 128, 256, 512, 1024]
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opts: [Co2L-3H]
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countries: ['AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MD', 'MK', 'NL', 'NO', 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK', 'UA']
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snapshots:
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start: "2013-01-01"
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end: "2014-01-01"
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inclusive: 'left' # include start, not end
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enable:
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prepare_links_p_nom: false
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retrieve_databundle: true
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retrieve_cost_data: true
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build_cutout: false
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retrieve_cutout: true
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build_natura_raster: false
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retrieve_natura_raster: true
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custom_busmap: false
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electricity:
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voltages: [220., 300., 380., 750.]
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gaslimit: false # global gas usage limit of X MWh_th
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co2limit: 9.59e+7 # 0.05 * co2base
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co2base: 1.918e+9
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agg_p_nom_limits: data/agg_p_nom_minmax.csv
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operational_reserve: # like https://genxproject.github.io/GenX/dev/core/#Reserves
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activate: false
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epsilon_load: 0.02 # share of total load
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epsilon_vres: 0.02 # share of total renewable supply
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contingency: 4000 # fixed capacity in MW
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max_hours:
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battery: 6
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H2: 168
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extendable_carriers:
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Generator: [solar, onwind, offwind-ac, offwind-dc, OCGT]
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StorageUnit: [] # battery, H2
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Store: [battery, H2]
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Link: [] # H2 pipeline
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# use pandas query strings here, e.g. Country not in ['Germany']
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powerplants_filter: (DateOut >= 2022 or DateOut != DateOut)
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# use pandas query strings here, e.g. Country in ['Germany']
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custom_powerplants: false
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conventional_carriers: [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
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renewable_carriers: [solar, onwind, offwind-ac, offwind-dc, hydro]
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estimate_renewable_capacities:
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enable: true
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# Add capacities from OPSD data
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from_opsd: true
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# Renewable capacities are based on existing capacities reported by IRENA
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year: 2020
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# Artificially limit maximum capacities to factor * (IRENA capacities),
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# i.e. 110% of <years>'s capacities => expansion_limit: 1.1
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# false: Use estimated renewable potentials determine by the workflow
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expansion_limit: false
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technology_mapping:
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# Wind is the Fueltype in powerplantmatching, onwind, offwind-{ac,dc} the carrier in PyPSA-Eur
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Offshore: [offwind-ac, offwind-dc]
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Onshore: [onwind]
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PV: [solar]
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atlite:
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nprocesses: 4
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show_progress: false # false saves time
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cutouts:
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# use 'base' to determine geographical bounds and time span from config
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# base:
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# module: era5
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europe-2013-era5:
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module: era5 # in priority order
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dx: 0.3
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dy: 0.3
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europe-2013-sarah:
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module: [sarah, era5] # in priority order
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dx: 0.2
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dy: 0.2
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sarah_interpolate: false
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sarah_dir:
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features: [influx, temperature]
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renewable:
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onwind:
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cutout: europe-2013-era5
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resource:
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method: wind
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turbine: Vestas_V112_3MW
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capacity_per_sqkm: 3 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 30% fraction of the already restricted
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# area is available for installation of wind generators due to competing land use and likely public
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# acceptance issues.
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# correction_factor: 0.93
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corine:
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# Scholz, Y. (2012). Renewable energy based electricity supply at low costs:
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# development of the REMix model and application for Europe. ( p.42 / p.28)
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grid_codes: [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32]
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distance: 1000
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distance_grid_codes: [1, 2, 3, 4, 5, 6]
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natura: true
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excluder_resolution: 100
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potential: simple # or conservative
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clip_p_max_pu: 1.e-2
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offwind-ac:
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cutout: europe-2013-era5
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resource:
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method: wind
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turbine: NREL_ReferenceTurbine_5MW_offshore
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capacity_per_sqkm: 2 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
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# area is available for installation of wind generators due to competing land use and likely public
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# acceptance issues.
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correction_factor: 0.8855
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# proxy for wake losses
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# from 10.1016/j.energy.2018.08.153
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# until done more rigorously in #153
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corine: [44, 255]
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natura: true
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ship_threshold: 400
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max_depth: 50
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max_shore_distance: 30000
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excluder_resolution: 200
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potential: simple # or conservative
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clip_p_max_pu: 1.e-2
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offwind-dc:
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cutout: europe-2013-era5
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resource:
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method: wind
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turbine: NREL_ReferenceTurbine_5MW_offshore
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capacity_per_sqkm: 2 # ScholzPhd Tab 4.3.1: 10MW/km^2 and assuming 20% fraction of the already restricted
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# area is available for installation of wind generators due to competing land use and likely public
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# acceptance issues.
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correction_factor: 0.8855
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# proxy for wake losses
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# from 10.1016/j.energy.2018.08.153
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# until done more rigorously in #153
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corine: [44, 255]
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natura: true
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ship_threshold: 400
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max_depth: 50
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min_shore_distance: 30000
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excluder_resolution: 200
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potential: simple # or conservative
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clip_p_max_pu: 1.e-2
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solar:
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cutout: europe-2013-sarah
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resource:
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method: pv
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panel: CSi
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orientation:
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slope: 35.
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azimuth: 180.
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capacity_per_sqkm: 1.7 # ScholzPhd Tab 4.3.1: 170 MW/km^2 and assuming 1% of the area can be used for solar PV panels
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# Correction factor determined by comparing uncorrected area-weighted full-load hours to those
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# published in Supplementary Data to
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# Pietzcker, Robert Carl, et al. "Using the sun to decarbonize the power
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# sector: The economic potential of photovoltaics and concentrating solar
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# power." Applied Energy 135 (2014): 704-720.
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# This correction factor of 0.854337 may be in order if using reanalysis data.
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# for discussion refer to https://github.com/PyPSA/pypsa-eur/pull/304
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# correction_factor: 0.854337
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corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
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natura: true
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excluder_resolution: 100
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potential: simple # or conservative
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clip_p_max_pu: 1.e-2
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hydro:
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cutout: europe-2013-era5
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carriers: [ror, PHS, hydro]
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PHS_max_hours: 6
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hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float
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clip_min_inflow: 1.0
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conventional:
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nuclear:
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p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name
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lines:
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types:
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220.: "Al/St 240/40 2-bundle 220.0"
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300.: "Al/St 240/40 3-bundle 300.0"
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380.: "Al/St 240/40 4-bundle 380.0"
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750.: "Al/St 560/50 4-bundle 750.0"
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s_max_pu: 0.7
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s_nom_max: .inf
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length_factor: 1.25
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under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity
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links:
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p_max_pu: 1.0
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p_nom_max: .inf
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include_tyndp: true
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under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity
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transformers:
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x: 0.1
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s_nom: 2000.
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type: ''
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load:
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power_statistics: true # only for files from <2019; set false in order to get ENTSOE transparency data
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interpolate_limit: 3 # data gaps up until this size are interpolated linearly
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time_shift_for_large_gaps: 1w # data gaps up until this size are copied by copying from
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manual_adjustments: true # false
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scaling_factor: 1.0
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costs:
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year: 2030
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version: v0.5.0
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rooftop_share: 0.14 # based on the potentials, assuming (0.1 kW/m2 and 10 m2/person)
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fill_values:
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FOM: 0
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VOM: 0
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efficiency: 1
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fuel: 0
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investment: 0
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lifetime: 25
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"CO2 intensity": 0
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"discount rate": 0.07
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marginal_cost:
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solar: 0.01
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onwind: 0.015
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offwind: 0.015
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hydro: 0.
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H2: 0.
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electrolysis: 0.
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fuel cell: 0.
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battery: 0.
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battery inverter: 0.
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emission_prices: # in currency per tonne emission, only used with the option Ep
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co2: 0.
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clustering:
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simplify_network:
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to_substations: false # network is simplified to nodes with positive or negative power injection (i.e. substations or offwind connections)
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algorithm: kmeans # choose from: [hac, kmeans]
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feature: solar+onwind-time # only for hac. choose from: [solar+onwind-time, solar+onwind-cap, solar-time, solar-cap, solar+offwind-cap] etc.
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exclude_carriers: []
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remove_stubs: true
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remove_stubs_across_borders: true
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cluster_network:
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algorithm: kmeans
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feature: solar+onwind-time
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exclude_carriers: []
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aggregation_strategies:
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generators:
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p_nom_max: sum # use "min" for more conservative assumptions
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p_nom_min: sum
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p_min_pu: mean
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marginal_cost: mean
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committable: any
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ramp_limit_up: max
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ramp_limit_down: max
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efficiency: mean
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solving:
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#tmpdir: "path/to/tmp"
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options:
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formulation: kirchhoff
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clip_p_max_pu: 1.e-2
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load_shedding: false
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noisy_costs: true
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skip_iterations: true
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track_iterations: false
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min_iterations: 4
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max_iterations: 6
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keep_shadowprices:
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- Bus
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- Line
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- Link
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- Transformer
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- GlobalConstraint
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- Generator
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- Store
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- StorageUnit
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solver:
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name: gurobi
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options: gurobi-default
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solver_options:
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highs-default:
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# refer to https://ergo-code.github.io/HiGHS/options/definitions.html#solver
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threads: 4
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solver: "ipm"
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run_crossover: "off"
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small_matrix_value: 1e-6
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large_matrix_value: 1e9
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primal_feasibility_tolerance: 1e-5
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dual_feasibility_tolerance: 1e-5
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ipm_optimality_tolerance: 1e-4
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parallel: "on"
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random_seed: 123
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gurobi-default:
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threads: 4
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method: 2 # barrier
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crossover: 0
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BarConvTol: 1.e-6
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Seed: 123
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AggFill: 0
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PreDual: 0
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GURO_PAR_BARDENSETHRESH: 200
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seed: 10 # Consistent seed for all plattforms
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gurobi-numeric-focus:
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name: gurobi
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NumericFocus: 3 # Favour numeric stability over speed
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method: 2 # barrier
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crossover: 0 # do not use crossover
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BarHomogeneous: 1 # Use homogeneous barrier if standard does not converge
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BarConvTol: 1.e-5
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FeasibilityTol: 1.e-4
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OptimalityTol: 1.e-4
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ObjScale: -0.5
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threads: 8
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Seed: 123
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gurobi-fallback: # Use gurobi defaults
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name: gurobi
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crossover: 0
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method: 2 # barrier
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BarHomogeneous: 1 # Use homogeneous barrier if standard does not converge
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BarConvTol: 1.e-5
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FeasibilityTol: 1.e-5
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OptimalityTol: 1.e-5
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Seed: 123
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threads: 8
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cplex-default:
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threads: 4
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lpmethod: 4 # barrier
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solutiontype: 2 # non basic solution, ie no crossover
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barrier_convergetol: 1.e-5
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feasopt_tolerance: 1.e-6
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cbc-default: {} # Used in CI
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glpk-default: {} # Used in CI
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mem: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
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plotting:
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map:
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figsize: [7, 7]
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boundaries: [-10.2, 29, 35, 72]
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p_nom:
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bus_size_factor: 5.e+4
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linewidth_factor: 3.e+3
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costs_max: 800
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costs_threshold: 1
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energy_max: 15000.
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energy_min: -10000.
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energy_threshold: 50.
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vre_techs: ["onwind", "offwind-ac", "offwind-dc", "solar", "ror"]
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conv_techs: ["OCGT", "CCGT", "Nuclear", "Coal"]
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storage_techs: ["hydro+PHS", "battery", "H2"]
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load_carriers: ["AC load"]
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AC_carriers: ["AC line", "AC transformer"]
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link_carriers: ["DC line", "Converter AC-DC"]
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tech_colors:
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"onwind": "#235ebc"
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"onshore wind": "#235ebc"
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'offwind': "#6895dd"
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'offwind-ac': "#6895dd"
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'offshore wind': "#6895dd"
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'offshore wind ac': "#6895dd"
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'offwind-dc': "#74c6f2"
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'offshore wind dc': "#74c6f2"
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"hydro": "#08ad97"
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"hydro+PHS": "#08ad97"
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"PHS": "#08ad97"
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"hydro reservoir": "#08ad97"
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'hydroelectricity': '#08ad97'
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"ror": "#4adbc8"
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"run of river": "#4adbc8"
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'solar': "#f9d002"
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'solar PV': "#f9d002"
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'solar thermal': '#ffef60'
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'biomass': '#0c6013'
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'solid biomass': '#06540d'
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'biogas': '#23932d'
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'waste': '#68896b'
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'geothermal': '#ba91b1'
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"OCGT": "#d35050"
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"gas": "#d35050"
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"natural gas": "#d35050"
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"CCGT": "#b20101"
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"nuclear": "#ff9000"
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"coal": "#707070"
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"lignite": "#9e5a01"
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"oil": "#262626"
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"H2": "#ea048a"
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"hydrogen storage": "#ea048a"
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"battery": "#b8ea04"
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"Electric load": "#f9d002"
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"electricity": "#f9d002"
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"lines": "#70af1d"
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"transmission lines": "#70af1d"
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"AC-AC": "#70af1d"
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"AC line": "#70af1d"
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"links": "#8a1caf"
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"HVDC links": "#8a1caf"
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"DC-DC": "#8a1caf"
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"DC link": "#8a1caf"
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"load": "#dd2e23"
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nice_names:
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OCGT: "Open-Cycle Gas"
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CCGT: "Combined-Cycle Gas"
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offwind-ac: "Offshore Wind (AC)"
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offwind-dc: "Offshore Wind (DC)"
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onwind: "Onshore Wind"
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solar: "Solar"
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PHS: "Pumped Hydro Storage"
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hydro: "Reservoir & Dam"
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battery: "Battery Storage"
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H2: "Hydrogen Storage"
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lines: "Transmission Lines"
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ror: "Run of River"
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load: "Load Shedding"
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