default and tutorial config.x.yaml - cf. #49
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@ -14,4 +14,6 @@ gurobi.log
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/data/links_p_nom.csv
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/cutouts
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doc/_build
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doc/_build
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config.yaml
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@ -78,7 +78,7 @@ renewable:
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corine: [44, 255]
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natura: true
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max_depth: 50
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max_shore_distance: 80000
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max_shore_distance: 30000
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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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@ -92,7 +92,7 @@ renewable:
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corine: [44, 255]
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natura: true
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max_depth: 50
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min_shore_distance: 80000
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min_shore_distance: 30000
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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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config.tutorial.yaml
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config.tutorial.yaml
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@ -0,0 +1,313 @@
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version: 0.1
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logging_level: INFO
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summary_dir: results
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scenario:
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sectors: [E]
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simpl: ['']
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ll: ['copt']
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clusters: [2,6]
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opts: [Co2L-24H]
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countries: ['DE']
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snapshots:
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start: "2013-03-01"
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end: "2014-04-01"
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closed: 'left' # end is not inclusive
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enable:
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powerplantmatching: false
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prepare_links_p_nom: false
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electricity:
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voltages: [220., 300., 380.]
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co2limit: 100.e+6
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extendable_carriers:
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Generator: [OCGT]
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StorageUnit: [battery, H2]
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max_hours:
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battery: 6
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H2: 168
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conventional_carriers: [] # [nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass]
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atlite:
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nprocesses: 4
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cutouts:
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europe-2013-era5:
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module: era5
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xs: [4., 15.]
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ys: [56., 46.]
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months: [3, 3]
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years: [2013, 2013]
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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
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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,
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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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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: 3
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# correction_factor: 0.93
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corine: [44, 255]
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natura: true
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#max_depth: 50
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max_shore_distance: 30000
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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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# ScholzPhd Tab 4.3.1: 10MW/km^2
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capacity_per_sqkm: 3
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# correction_factor: 0.93
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corine: [44, 255]
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natura: true
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#max_depth: 50
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min_shore_distance: 30000
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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-era5
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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
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# 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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correction_factor: 0.854337
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corine: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,
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14, 15, 16, 17, 18, 19, 20, 26, 31, 32]
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natura: true
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potential: simple # or conservative
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clip_p_max_pu: 1.e-2
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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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s_max_pu: 0.7
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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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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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scaling_factor: 1.0
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costs:
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year: 2030
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discountrate: 0.07 # From a Lion Hirth paper, also reflects average of Noothout et al 2016
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USD2013_to_EUR2013: 0.7532 # [EUR/USD] ECB: https://www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxref-graph-usd.en.html
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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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H2: 0.
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battery: 0.
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emission_prices: # only used with the option Ep
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co2: 0.
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solving:
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options:
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formulation: kirchhoff
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load_shedding: false
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noisy_costs: true
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min_iterations: 1
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max_iterations: 1
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clip_p_max_pu: 0.01
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#nhours: 10
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solver:
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name: cbc
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# solver:
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# name: gurobi
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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-5
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# FeasibilityTol: 1.e-6
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# AggFill: 0
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# PreDual: 0
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# GURO_PAR_BARDENSETHRESH: 200
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# solver:
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# name: cplex
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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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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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"OCGT marginal" : "#d35050"
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"OCGT-heat" : "#d35050"
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"gas boiler" : "#d35050"
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"gas boilers" : "#d35050"
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"gas boiler marginal" : "#d35050"
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"gas-to-power/heat" : "#d35050"
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"gas" : "#d35050"
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"natural gas" : "#d35050"
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"CCGT" : "#b20101"
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"CCGT marginal" : "#b20101"
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"Nuclear" : "#ff9000"
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"Nuclear marginal" : "#ff9000"
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"nuclear" : "#ff9000"
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"coal" : "#707070"
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"Coal" : "#707070"
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"Coal marginal" : "#707070"
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"lignite" : "#9e5a01"
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"Lignite" : "#9e5a01"
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"Lignite marginal" : "#9e5a01"
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"Oil" : "#262626"
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"oil" : "#262626"
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"H2" : "#ea048a"
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"hydrogen storage" : "#ea048a"
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"Sabatier" : "#a31597"
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"methanation" : "#a31597"
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"helmeth" : "#a31597"
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"DAC" : "#d284ff"
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"co2 stored" : "#e5e5e5"
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"CO2 sequestration" : "#e5e5e5"
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"battery" : "#b8ea04"
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"battery storage" : "#b8ea04"
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"Li ion" : "#b8ea04"
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"BEV charger" : "#e2ff7c"
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"V2G" : "#7a9618"
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"transport fuel cell" : "#e884be"
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"retrofitting" : "#e0d6a8"
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"building retrofitting" : "#e0d6a8"
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"heat pumps" : "#ff9768"
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"heat pump" : "#ff9768"
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"air heat pump" : "#ffbea0"
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"ground heat pump" : "#ff7a3d"
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"power-to-heat" : "#a59e7c"
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"power-to-gas" : "#db8585"
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"power-to-liquid" : "#a9acd1"
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"Fischer-Tropsch" : "#a9acd1"
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"resistive heater" : "#aa4925"
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"water tanks" : "#401f75"
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"hot water storage" : "#401f75"
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"hot water charging" : "#351c5e"
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"hot water discharging" : "#683ab2"
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"CHP" : "#d80a56"
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"CHP heat" : "#d80a56"
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"CHP electric" : "#d80a56"
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"district heating" : "#93864b"
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"Ambient" : "#262626"
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"Electric load" : "#f9d002"
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"electricity" : "#f9d002"
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"Heat load" : "#d35050"
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"heat" : "#d35050"
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"Transport load" : "#235ebc"
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"transport" : "#235ebc"
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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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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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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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nice_names_n:
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OCGT: "Open-Cycle\nGas"
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CCGT: "Combined-Cycle\nGas"
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offwind-ac: "Offshore\nWind (AC)"
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offwind-dc: "Offshore\nWind (DC)"
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onwind: "Onshore\nWind"
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battery: "Battery\nStorage"
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H2: "Hydrogen\nStorage"
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lines: "Transmission\nlines"
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ror: "Run of\nriver"
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@ -56,6 +56,14 @@ Instead we provide separate data bundles which can be obtained
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using the described shell commands or by downloading and
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extracting them manually in the locations outlined below.
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.. note::
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The :ref:`tutorial` uses smaller data bundles than required for the full model.
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To start with the tutorial, substitute with the links below using the following alternatives:
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- **Data Bundle:** ``https://vfs.fias.science/d/0a0ca1e2fb/files/?dl=1&p=/pypsa-eur-data-bundle.tar.xz``
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- **Cutouts:** ``https://vfs.fias.science/d/0a0ca1e2fb/files/?p=/pypsa-eur-cutouts.tar.xz``
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1. **Data Bundle:** `pypsa-eur-data-bundle.tar.xz <https://vfs.fias.science/d/0a0ca1e2fb/files/?p=/pypsa-eur-data-bundle.tar.xz>`_ contains common GIS datasets like NUTS3 shapes, EEZ shapes, CORINE Landcover, Natura 2000 and also electricity specific summary statistics like historic per country yearly totals of hydro generation, GDP and POP on NUTS3 levels and per-country load time-series. It should be extracted in the ``data`` sub-directory, such that all files of the bundle are stored in the ``data/bundle`` subdirectory)
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.. code:: bash
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@ -108,3 +116,21 @@ and any other solver that works with the underlying modelling framework `Pyomo <
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.. note::
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Commercial solvers such as Gurobi and CPLEX currently significantly outperform open-source solvers for large-scale problems.
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It might be the case that you can only retrieve solutions by using a commercial solver.
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.. _defaultconfig:
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Set Up the Default Configuration
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================================
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PyPSA-Eur has several configuration options that must be specified in a ``config.yaml`` file located in the root directory.
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An example configuration ``config.default.yaml`` is maintained in the repository.
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More details on the configuration options are in :ref:`config`.
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Before first use, create a ``config.yaml`` by copying the example.
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.. code:: bash
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.../pypsa-eur % cp config.default.yaml config.yaml
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Users are advised to regularly check their own ``config.yaml`` against changes in the ``config.default.yaml``
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when pulling a new version from the remote repository.
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