329 lines
11 KiB
YAML
329 lines
11 KiB
YAML
logging_level: INFO
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results_dir: 'results/'
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summary_dir: results
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costs_dir: '../technology-data/outputs/'
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run: 'your-run-name' # use this to keep track of runs with different settings
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foresight: 'myopic' #options are overnight, myopic, perfect (perfect is not yet implemented)
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scenario:
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sectors: [E] # ignore this legacy setting
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simpl: [''] # only relevant for PyPSA-Eur
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lv: [1.0,1.5] # allowed transmission line volume expansion, can be any float >= 1.0 (today) or "opt"
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clusters: [45,50] # number of nodes in Europe, any integer between 37 (1 node per country-zone) and several hundred
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opts: [''] # only relevant for PyPSA-Eur
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sector_opts: [Co2L0-3H-H-B-solar3-dist1] # this is where the main scenario settings are
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# to really understand the options here, look in scripts/prepare_sector_network.py
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# Co2Lx specifies the CO2 target in x% of the 1990 values; default will give default (5%);
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# Co2L0p25 will give 25% CO2 emissions; Co2Lm0p05 will give 5% negative emissions
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# xH is the temporal resolution; 3H is 3-hourly, i.e. one snapshot every 3 hours
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# single letters are sectors: T for land transport, H for building heating,
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# B for biomass supply, I for industry, shipping and aviation
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# solarx or onwindx changes the available installable potential by factor x
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# dist{n} includes distribution grids with investment cost of n times cost in data/costs.csv
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planning_horizons : [2020, 2030, 2040, 2050] #investment years for myopic and perfect; or costs year for overnight
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co2_budget_name: ['go'] #gives shape of CO2 budgets over planning horizon
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# snapshots are originally set in PyPSA-Eur/config.yaml but used again by PyPSA-Eur-Sec
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snapshots:
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# arguments to pd.date_range
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start: "2013-01-01"
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end: "2014-01-01"
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closed: 'left' # end is not inclusive
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atlite:
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cutout_dir: '../pypsa-eur/cutouts'
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cutout_name: "europe-2013-era5"
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# this information is NOT used but needed as an argument for
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# pypsa-eur/scripts/add_electricity.py/load_costs in make_summary.py
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electricity:
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max_hours:
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battery: 6
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H2: 168
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biomass:
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year: 2030
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scenario: "Med"
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# only relevant for foresight = myopic or perfect
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existing_capacities:
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grouping_years: [1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019]
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threshold_capacity: 10
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conventional_carriers: ['lignite', 'coal', 'oil', 'uranium']
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sector:
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'central' : True
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'central_fraction' : 0.6
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'dsm_restriction_value' : 0.75 #Set to 0 for no restriction on BEV DSM
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'dsm_restriction_time' : 7 #Time at which SOC of BEV has to be dsm_restriction_value
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'transport_heating_deadband_upper' : 20.
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'transport_heating_deadband_lower' : 15.
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'ICE_lower_degree_factor' : 0.375 #in per cent increase in fuel consumption per degree above deadband
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'ICE_upper_degree_factor' : 1.6
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'EV_lower_degree_factor' : 0.98
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'EV_upper_degree_factor' : 0.63
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'district_heating_loss' : 0.15
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'bev' : True #turns on EV battery
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'bev_availability' : 0.5 #How many cars do smart charging
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'v2g' : True #allows feed-in to grid from EV battery
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'transport_fuel_cell_share' : 0. #0 means all EVs, 1 means all FCs
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'shipping_average_efficiency' : 0.4 #For conversion of fuel oil to propulsion in 2011
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'time_dep_hp_cop' : True
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'space_heating_fraction' : 1.0 #fraction of space heating active
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'retrofitting' : False
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'retroI-fraction' : 0.25
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'retroII-fraction' : 0.55
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'retrofitting-cost_factor' : 1.0
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'tes' : True
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'tes_tau' : 3.
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'boilers' : True
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'oil_boilers': False
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'chp' : True
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'solar_thermal' : True
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'solar_cf_correction': 0.788457 # = >>> 1/1.2683
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'marginal_cost_storage' : 0. #1e-4
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'methanation' : True
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'helmeth' : True
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'dac' : True
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'co2_vent' : True
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'SMR' : True
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'ccs_fraction' : 0.9
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'hydrogen_underground_storage' : True
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'use_fischer_tropsch_waste_heat' : True
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'use_fuel_cell_waste_heat' : True
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'electricity_distribution_grid' : False
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'electricity_distribution_grid_cost_factor' : 1.0 #multiplies cost in data/costs.csv
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'electricity_grid_connection' : True # only applies to onshore wind and utility PV
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costs:
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year: 2030
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lifetime: 25 #default lifetime
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# From a Lion Hirth paper, also reflects average of Noothout et al 2016
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discountrate: 0.07
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# [EUR/USD] ECB: https://www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxref-graph-usd.en.html # noqa: E501
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USD2013_to_EUR2013: 0.7532
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# Marginal and capital costs can be overwritten
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# capital_cost:
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# Wind: Bla
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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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battery: 0.
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emission_prices: # only used with the option Ep (emission prices)
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co2: 0.
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lines:
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length_factor: 1.25 #to estimate offwind connection costs
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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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min_iterations: 1
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max_iterations: 1
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# nhours: 1
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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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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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#FeasibilityTol: 1.e-6
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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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mem: 30000 #memory in MB; 20 GB enough for 50+B+I+H2; 100 GB for 181+B+I+H2
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industry:
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'DRI_ratio' : 0.5 #ratio of today's blast-furnace steel (60% primary route, 40% secondary) to future assumption (30% primary, 70% secondary), transformed into DRI + electric arc
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'H2_DRI' : 1.7 #H2 consumption in Direct Reduced Iron (DRI), MWh_H2/ton_Steel from Vogl et al (2018) doi:10.1016/j.jclepro.2018.08.279
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'Al_to_scrap' : 0.5 # ratio of primary-route Aluminum transformed into scrap (today 40% to future 20% primary route)
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'H2_for_NH3' : 85000 # H2 in GWh/a for 17 MtNH3/a transformed from SMR to electrolyzed-H2, following Lechtenböhmer(2016)
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'NH3_process_emissions' : 24.5 # in MtCO2/a from SMR for H2 production for NH3 from UNFCCC for 2015 for EU28
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'petrochemical_process_emissions' : 25.5 # in MtCO2/a for petrochemical and other from UNFCCC for 2015 for EU28
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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 # 1.e+3 #3.e+3
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costs_max: 1200
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costs_threshold: 1
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energy_max: 20000.
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energy_min: -15000.
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energy_threshold: 50.
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vre_techs: ["onwind", "offwind-ac", "offwind-dc", "solar", "ror"]
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renewable_storage_techs: ["PHS","hydro"]
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conv_techs: ["OCGT", "CCGT", "Nuclear", "Coal"]
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storage_techs: ["hydro+PHS", "battery", "H2"]
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# store_techs: ["Li ion", "water tanks"]
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load_carriers: ["AC load"] #, "heat load", "Li ion 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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heat_links: ["heat pump", "resistive heater", "CHP heat", "CHP electric",
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"gas boiler", "central heat pump", "central resistive heater", "central CHP heat",
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"central CHP electric", "central gas boiler"]
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heat_generators: ["gas boiler", "central gas boiler", "solar thermal collector", "central solar thermal collector"]
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tech_colors:
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"onwind" : "b"
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"onshore wind" : "b"
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'offwind' : "c"
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'offshore wind' : "c"
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'offwind-ac' : "c"
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'offshore wind (AC)' : "c"
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'offwind-dc' : "#009999"
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'offshore wind (DC)' : "#009999"
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'wave' : "#004444"
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"hydro" : "#3B5323"
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"hydro reservoir" : "#3B5323"
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"ror" : "#78AB46"
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"run of river" : "#78AB46"
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'hydroelectricity' : '#006400'
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'solar' : "y"
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'solar PV' : "y"
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'solar thermal' : 'coral'
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'solar rooftop' : '#e6b800'
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"OCGT" : "wheat"
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"OCGT marginal" : "sandybrown"
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"OCGT-heat" : "orange"
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"gas boiler" : "orange"
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"gas boilers" : "orange"
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"gas boiler marginal" : "orange"
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"gas-to-power/heat" : "orange"
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"gas" : "brown"
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"natural gas" : "brown"
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"SMR" : "#4F4F2F"
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"oil" : "#B5A642"
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"oil boiler" : "#B5A677"
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"lines" : "k"
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"transmission lines" : "k"
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"H2" : "m"
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"hydrogen storage" : "m"
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"battery" : "slategray"
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"battery storage" : "slategray"
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"home battery" : "#614700"
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"home battery storage" : "#614700"
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"Nuclear" : "r"
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"Nuclear marginal" : "r"
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"nuclear" : "r"
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"uranium" : "r"
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"Coal" : "k"
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"coal" : "k"
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"Coal marginal" : "k"
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"Lignite" : "grey"
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"lignite" : "grey"
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"Lignite marginal" : "grey"
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"CCGT" : "orange"
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"CCGT marginal" : "orange"
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"heat pumps" : "#76EE00"
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"heat pump" : "#76EE00"
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"air heat pump" : "#76EE00"
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"ground heat pump" : "#40AA00"
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"power-to-heat" : "#40AA00"
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"resistive heater" : "pink"
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"Sabatier" : "#FF1493"
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"methanation" : "#FF1493"
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"power-to-gas" : "#FF1493"
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"power-to-liquid" : "#FFAAE9"
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"helmeth" : "#7D0552"
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"helmeth" : "#7D0552"
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"DAC" : "#E74C3C"
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"co2 stored" : "#123456"
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"CO2 sequestration" : "#123456"
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"CCS" : "k"
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"co2" : "#123456"
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"co2 vent" : "#654321"
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"solid biomass for industry co2 from atmosphere" : "#654321"
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"solid biomass for industry co2 to stored": "#654321"
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"gas for industry co2 to atmosphere": "#654321"
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"gas for industry co2 to stored": "#654321"
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"Fischer-Tropsch" : "#44DD33"
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"kerosene for aviation": "#44BB11"
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"naphtha for industry" : "#44FF55"
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"water tanks" : "#BBBBBB"
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"hot water storage" : "#BBBBBB"
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"hot water charging" : "#BBBBBB"
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"hot water discharging" : "#999999"
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"CHP" : "r"
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"CHP heat" : "r"
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"CHP electric" : "r"
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"PHS" : "g"
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"Ambient" : "k"
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"Electric load" : "b"
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"Heat load" : "r"
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"Transport load" : "grey"
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"heat" : "darkred"
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"rural heat" : "#880000"
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"central heat" : "#b22222"
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"decentral heat" : "#800000"
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"low-temperature heat for industry" : "#991111"
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"process heat" : "#FF3333"
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"heat demand" : "darkred"
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"electric demand" : "k"
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"Li ion" : "grey"
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"district heating" : "#CC4E5C"
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"retrofitting" : "purple"
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"building retrofitting" : "purple"
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"BEV charger" : "grey"
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"V2G" : "grey"
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"transport" : "grey"
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"electricity" : "k"
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"gas for industry" : "#333333"
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"solid biomass for industry" : "#555555"
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"industry new electricity" : "#222222"
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"process emissions to stored" : "#444444"
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"process emissions to atmosphere" : "#888888"
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"process emissions" : "#222222"
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"transport fuel cell" : "#AAAAAA"
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"biogas" : "#800000"
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"solid biomass" : "#DAA520"
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"today" : "#D2691E"
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"shipping" : "#6495ED"
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"electricity distribution grid" : "#333333"
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nice_names:
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# OCGT: "Gas"
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# OCGT marginal: "Gas (marginal)"
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offwind: "offshore wind"
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onwind: "onshore wind"
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battery: "Battery storage"
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lines: "Transmission lines"
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AC line: "AC lines"
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AC-AC: "DC lines"
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ror: "Run of river"
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nice_names_n:
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offwind: "offshore\nwind"
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onwind: "onshore\nwind"
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# OCGT: "Gas"
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H2: "Hydrogen\nstorage"
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# OCGT marginal: "Gas (marginal)"
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lines: "transmission\nlines"
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ror: "run of river"
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