Merge pull request #653 from PyPSA/complete-carrier-set
Complete carrier set
This commit is contained in:
commit
89ffa87254
@ -790,6 +790,11 @@ plotting:
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solar: "#f9d002"
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solar PV: "#f9d002"
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solar thermal: '#ffbf2b'
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residential rural solar thermal: '#f1c069'
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services rural solar thermal: '#eabf61'
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residential urban decentral solar thermal: '#e5bc5a'
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services urban decentral solar thermal: '#dfb953'
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urban central solar thermal: '#d7b24c'
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solar rooftop: '#ffea80'
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# gas
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OCGT: '#e0986c'
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@ -798,9 +803,15 @@ plotting:
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gas boiler: '#db6a25'
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gas boilers: '#db6a25'
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gas boiler marginal: '#db6a25'
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residential rural gas boiler: '#d4722e'
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residential urban decentral gas boiler: '#cb7a36'
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services rural gas boiler: '#c4813f'
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services urban decentral gas boiler: '#ba8947'
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urban central gas boiler: '#b0904f'
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gas: '#e05b09'
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fossil gas: '#e05b09'
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natural gas: '#e05b09'
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biogas to gas: '#e36311'
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CCGT: '#a85522'
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CCGT marginal: '#a85522'
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allam: '#B98F76'
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@ -813,6 +824,11 @@ plotting:
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# oil
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oil: '#c9c9c9'
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oil boiler: '#adadad'
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residential rural oil boiler: '#a9a9a9'
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services rural oil boiler: '#a5a5a5'
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residential urban decentral oil boiler: '#a1a1a1'
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urban central oil boiler: '#9d9d9d'
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services urban decentral oil boiler: '#999999'
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agriculture machinery oil: '#949494'
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shipping oil: "#808080"
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land transport oil: '#afafaf'
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@ -838,13 +854,20 @@ plotting:
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solid biomass for industry CC: '#47411c'
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solid biomass for industry co2 from atmosphere: '#736412'
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solid biomass for industry co2 to stored: '#47411c'
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urban central solid biomass CHP: '#9d9042'
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urban central solid biomass CHP CC: '#6c5d28'
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biomass boiler: '#8A9A5B'
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residential rural biomass boiler: '#a1a066'
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residential urban decentral biomass boiler: '#b0b87b'
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services rural biomass boiler: '#c6cf98'
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services urban decentral biomass boiler: '#dde5b5'
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biomass to liquid: '#32CD32'
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BioSNG: '#123456'
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# power transmission
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lines: '#6c9459'
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transmission lines: '#6c9459'
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electricity distribution grid: '#97ad8c'
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low voltage: '#97ad8c'
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# electricity demand
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Electric load: '#110d63'
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electric demand: '#110d63'
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@ -855,24 +878,48 @@ plotting:
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# battery + EVs
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battery: '#ace37f'
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battery storage: '#ace37f'
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battery charger: '#88a75b'
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battery discharger: '#5d4e29'
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home battery: '#80c944'
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home battery storage: '#80c944'
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home battery charger: '#5e8032'
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home battery discharger: '#3c5221'
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BEV charger: '#baf238'
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V2G: '#e5ffa8'
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land transport EV: '#baf238'
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Li ion: '#baf238'
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# hot water storage
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water tanks: '#e69487'
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residential rural water tanks: '#f7b7a3'
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services rural water tanks: '#f3afa3'
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residential urban decentral water tanks: '#f2b2a3'
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services urban decentral water tanks: '#f1b4a4'
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urban central water tanks: '#e9977d'
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hot water storage: '#e69487'
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hot water charging: '#e69487'
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hot water discharging: '#e69487'
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hot water charging: '#e8998b'
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urban central water tanks charger: '#b57a67'
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residential rural water tanks charger: '#b4887c'
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residential urban decentral water tanks charger: '#b39995'
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services rural water tanks charger: '#b3abb0'
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services urban decentral water tanks charger: '#b3becc'
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hot water discharging: '#e99c8e'
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urban central water tanks discharger: '#b9816e'
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residential rural water tanks discharger: '#ba9685'
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residential urban decentral water tanks discharger: '#baac9e'
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services rural water tanks discharger: '#bbc2b8'
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services urban decentral water tanks discharger: '#bdd8d3'
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# heat demand
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Heat load: '#cc1f1f'
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heat: '#cc1f1f'
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heat demand: '#cc1f1f'
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rural heat: '#ff5c5c'
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residential rural heat: '#ff7c7c'
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services rural heat: '#ff9c9c'
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central heat: '#cc1f1f'
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urban central heat: '#d15959'
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decentral heat: '#750606'
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residential urban decentral heat: '#a33c3c'
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services urban decentral heat: '#cc1f1f'
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low-temperature heat for industry: '#8f2727'
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process heat: '#ff0000'
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agriculture heat: '#d9a5a5'
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@ -880,14 +927,26 @@ plotting:
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heat pumps: '#2fb537'
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heat pump: '#2fb537'
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air heat pump: '#36eb41'
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residential urban decentral air heat pump: '#48f74f'
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services urban decentral air heat pump: '#5af95d'
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urban central air heat pump: '#6cfb6b'
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ground heat pump: '#2fb537'
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residential rural ground heat pump: '#48f74f'
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services rural ground heat pump: '#5af95d'
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Ambient: '#98eb9d'
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CHP: '#8a5751'
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urban central gas CHP: '#8d5e56'
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CHP CC: '#634643'
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urban central gas CHP CC: '#6e4e4c'
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CHP heat: '#8a5751'
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CHP electric: '#8a5751'
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district heating: '#e8beac'
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resistive heater: '#d8f9b8'
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residential rural resistive heater: '#bef5b5'
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residential urban decentral resistive heater: '#b2f1a9'
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services rural resistive heater: '#a5ed9d'
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services urban decentral resistive heater: '#98e991'
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urban central resistive heater: '#8cdf85'
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retrofitting: '#8487e8'
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building retrofitting: '#8487e8'
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# hydrogen
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@ -899,13 +958,16 @@ plotting:
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SMR CC: '#4f1745'
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H2 liquefaction: '#d647bd'
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hydrogen storage: '#bf13a0'
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H2 Store: '#bf13a0'
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H2 storage: '#bf13a0'
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land transport fuel cell: '#6b3161'
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H2 pipeline: '#f081dc'
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H2 pipeline retrofitted: '#ba99b5'
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H2 Fuel Cell: '#c251ae'
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H2 fuel cell: '#c251ae'
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H2 turbine: '#991f83'
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H2 Electrolysis: '#ff29d9'
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H2 electrolysis: '#ff29d9'
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# ammonia
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NH3: '#46caf0'
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ammonia: '#46caf0'
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@ -954,9 +1016,11 @@ plotting:
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waste: '#e3d37d'
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other: '#000000'
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geothermal: '#ba91b1'
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AC: "#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: "#8a1caf"
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DC-DC: "#8a1caf"
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DC link: "#8a1caf"
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@ -24,12 +24,17 @@ Upcoming Release
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hydrogen fuel cell. Add switches for both re-electrification options under
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``sector: hydrogen_turbine:`` and ``sector: hydrogen_fuel_cell:``.
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* A new function named ``sanitize_carrier`` ensures that all unique carrier names are present in the network's carriers attribute, and adds nice names and colors for each carrier according to the provided configuration dictionary.
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* Additional tech_color are added to include previously unlisted carriers.
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* Remove ``vresutils`` dependency.
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* Add option to include a piecewise linear approximation of transmission losses,
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e.g. by setting ``solving: options: transmission_losses: 2`` for an
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approximation with two tangents.
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PyPSA-Eur 0.8.0 (18th March 2023)
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=================================
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@ -123,18 +123,61 @@ def calculate_annuity(n, r):
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return 1 / n
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def _add_missing_carriers_from_costs(n, costs, carriers):
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missing_carriers = pd.Index(carriers).difference(n.carriers.index)
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if missing_carriers.empty:
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return
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def sanitize_carriers(n, config):
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"""
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Sanitize the carrier information in a PyPSA Network object.
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emissions_cols = (
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costs.columns.to_series().loc[lambda s: s.str.endswith("_emissions")].values
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The function ensures that all unique carrier names are present in the network's
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carriers attribute, and adds nice names and colors for each carrier according
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to the provided configuration dictionary.
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Parameters
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----------
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n : pypsa.Network
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A PyPSA Network object that represents an electrical power system.
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config : dict
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A dictionary containing configuration information, specifically the
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"plotting" key with "nice_names" and "tech_colors" keys for carriers.
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Returns
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-------
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None
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The function modifies the 'n' PyPSA Network object in-place, updating the
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carriers attribute with nice names and colors.
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Warnings
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--------
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Raises a warning if any carrier's "tech_colors" are not defined in the config dictionary.
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"""
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for c in n.iterate_components():
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if "carrier" in c.df:
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missing_carrier = set(c.df.carrier.unique()) - set(n.carriers.index) - {""}
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if len(missing_carrier):
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n.madd("Carrier", missing_carrier)
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carrier_i = n.carriers.index
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nice_names = (
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pd.Series(config["plotting"]["nice_names"])
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.reindex(carrier_i)
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.fillna(carrier_i.to_series().str.title())
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)
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suptechs = missing_carriers.str.split("-").str[0]
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emissions = costs.loc[suptechs, emissions_cols].fillna(0.0)
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emissions.index = missing_carriers
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n.import_components_from_dataframe(emissions, "Carrier")
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n.carriers["nice_name"] = n.carriers.nice_name.where(
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n.carriers.nice_name != "", nice_names
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)
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colors = pd.Series(config["plotting"]["tech_colors"]).reindex(carrier_i)
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if colors.isna().any():
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missing_i = list(colors.index[colors.isna()])
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logger.warning(f"tech_colors for carriers {missing_i} not defined in config.")
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n.carriers["color"] = n.carriers.color.where(n.carriers.color != "", colors)
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def add_co2_emissions(n, costs, carriers):
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"""
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Add CO2 emissions to the network's carriers attribute.
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"""
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suptechs = n.carriers.loc[carriers].index.str.split("-").str[0]
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n.carriers.loc[carriers, "co2_emissions"] = costs.co2_emissions[suptechs].values
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def load_costs(tech_costs, config, max_hours, Nyears=1.0):
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@ -309,57 +352,56 @@ def update_transmission_costs(n, costs, length_factor=1.0):
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def attach_wind_and_solar(
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n, costs, input_profiles, technologies, extendable_carriers, line_length_factor=1
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n, costs, input_profiles, carriers, extendable_carriers, line_length_factor=1
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):
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# TODO: rename tech -> carrier, technologies -> carriers
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_add_missing_carriers_from_costs(n, costs, technologies)
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n.madd("Carrier", carriers)
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for tech in technologies:
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if tech == "hydro":
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for car in carriers:
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if car == "hydro":
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continue
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with xr.open_dataset(getattr(input_profiles, "profile_" + tech)) as ds:
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with xr.open_dataset(getattr(input_profiles, "profile_" + car)) as ds:
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if ds.indexes["bus"].empty:
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continue
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suptech = tech.split("-", 2)[0]
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if suptech == "offwind":
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supcar = car.split("-", 2)[0]
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if supcar == "offwind":
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underwater_fraction = ds["underwater_fraction"].to_pandas()
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connection_cost = (
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line_length_factor
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* ds["average_distance"].to_pandas()
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* (
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underwater_fraction
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* costs.at[tech + "-connection-submarine", "capital_cost"]
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* costs.at[car + "-connection-submarine", "capital_cost"]
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+ (1.0 - underwater_fraction)
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* costs.at[tech + "-connection-underground", "capital_cost"]
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* costs.at[car + "-connection-underground", "capital_cost"]
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)
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)
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capital_cost = (
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costs.at["offwind", "capital_cost"]
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+ costs.at[tech + "-station", "capital_cost"]
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+ costs.at[car + "-station", "capital_cost"]
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+ connection_cost
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)
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logger.info(
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"Added connection cost of {:0.0f}-{:0.0f} Eur/MW/a to {}".format(
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connection_cost.min(), connection_cost.max(), tech
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connection_cost.min(), connection_cost.max(), car
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)
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)
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else:
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capital_cost = costs.at[tech, "capital_cost"]
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capital_cost = costs.at[car, "capital_cost"]
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n.madd(
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"Generator",
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ds.indexes["bus"],
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" " + tech,
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" " + car,
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bus=ds.indexes["bus"],
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carrier=tech,
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p_nom_extendable=tech in extendable_carriers["Generator"],
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carrier=car,
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p_nom_extendable=car in extendable_carriers["Generator"],
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p_nom_max=ds["p_nom_max"].to_pandas(),
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weight=ds["weight"].to_pandas(),
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marginal_cost=costs.at[suptech, "marginal_cost"],
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marginal_cost=costs.at[supcar, "marginal_cost"],
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capital_cost=capital_cost,
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efficiency=costs.at[suptech, "efficiency"],
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efficiency=costs.at[supcar, "efficiency"],
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p_max_pu=ds["profile"].transpose("time", "bus").to_pandas(),
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)
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@ -373,8 +415,9 @@ def attach_conventional_generators(
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conventional_params,
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conventional_inputs,
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):
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carriers = set(conventional_carriers) | set(extendable_carriers["Generator"])
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_add_missing_carriers_from_costs(n, costs, carriers)
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carriers = list(set(conventional_carriers) | set(extendable_carriers["Generator"]))
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n.madd("Carrier", carriers)
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add_co2_emissions(n, costs, carriers)
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ppl = (
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ppl.query("carrier in @carriers")
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@ -430,7 +473,8 @@ def attach_conventional_generators(
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def attach_hydro(n, costs, ppl, profile_hydro, hydro_capacities, carriers, **params):
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_add_missing_carriers_from_costs(n, costs, carriers)
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n.madd("Carrier", carriers)
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add_co2_emissions(n, costs, carriers)
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ppl = (
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ppl.query('carrier == "hydro"')
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@ -562,7 +606,8 @@ def attach_extendable_generators(n, costs, ppl, carriers):
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logger.warning(
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"The function `attach_extendable_generators` is deprecated in v0.5.0."
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)
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_add_missing_carriers_from_costs(n, costs, carriers)
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n.madd("Carrier", carriers)
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add_co2_emissions(n, costs, carriers)
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for tech in carriers:
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if tech.startswith("OCGT"):
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@ -693,21 +738,6 @@ def estimate_renewable_capacities(n, year, tech_map, expansion_limit, countries)
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)
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def add_nice_carrier_names(n, config):
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carrier_i = n.carriers.index
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nice_names = (
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pd.Series(config["plotting"]["nice_names"])
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.reindex(carrier_i)
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.fillna(carrier_i.to_series().str.title())
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)
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n.carriers["nice_name"] = nice_names
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colors = pd.Series(config["plotting"]["tech_colors"]).reindex(carrier_i)
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if colors.isna().any():
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missing_i = list(colors.index[colors.isna()])
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logger.warning(f"tech_colors for carriers {missing_i} not defined in config.")
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n.carriers["color"] = colors
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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@ -790,7 +820,7 @@ if __name__ == "__main__":
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update_p_nom_max(n)
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add_nice_carrier_names(n, snakemake.config)
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sanitize_carriers(n, snakemake.config)
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n.meta = snakemake.config
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n.export_to_netcdf(snakemake.output[0])
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|
@ -22,6 +22,7 @@ import numpy as np
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import pypsa
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import xarray as xr
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from _helpers import override_component_attrs, update_config_with_sector_opts
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from add_electricity import sanitize_carriers
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from prepare_sector_network import cluster_heat_buses, define_spatial, prepare_costs
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cc = coco.CountryConverter()
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@ -665,4 +666,6 @@ if __name__ == "__main__":
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n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
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sanitize_carriers(n, snakemake.config)
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n.export_to_netcdf(snakemake.output[0])
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|
@ -56,11 +56,7 @@ import numpy as np
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import pandas as pd
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import pypsa
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from _helpers import configure_logging
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from add_electricity import (
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_add_missing_carriers_from_costs,
|
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add_nice_carrier_names,
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load_costs,
|
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)
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from add_electricity import load_costs, sanitize_carriers
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idx = pd.IndexSlice
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@ -70,7 +66,7 @@ logger = logging.getLogger(__name__)
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def attach_storageunits(n, costs, extendable_carriers, max_hours):
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carriers = extendable_carriers["StorageUnit"]
|
||||
|
||||
_add_missing_carriers_from_costs(n, costs, carriers)
|
||||
n.madd("Carrier", carriers)
|
||||
|
||||
buses_i = n.buses.index
|
||||
|
||||
@ -101,7 +97,7 @@ def attach_storageunits(n, costs, extendable_carriers, max_hours):
|
||||
def attach_stores(n, costs, extendable_carriers):
|
||||
carriers = extendable_carriers["Store"]
|
||||
|
||||
_add_missing_carriers_from_costs(n, costs, carriers)
|
||||
n.madd("Carrier", carriers)
|
||||
|
||||
buses_i = n.buses.index
|
||||
bus_sub_dict = {k: n.buses[k].values for k in ["x", "y", "country"]}
|
||||
@ -161,6 +157,8 @@ def attach_stores(n, costs, extendable_carriers):
|
||||
marginal_cost=costs.at["battery", "marginal_cost"],
|
||||
)
|
||||
|
||||
n.madd("Carrier", ["battery charger", "battery discharger"])
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
b_buses_i + " charger",
|
||||
@ -211,6 +209,8 @@ def attach_hydrogen_pipelines(n, costs, extendable_carriers):
|
||||
h2_links.index = h2_links.apply(lambda c: f"H2 pipeline {c.bus0}-{c.bus1}", axis=1)
|
||||
|
||||
# add pipelines
|
||||
n.add("Carrier", "H2 pipeline")
|
||||
|
||||
n.madd(
|
||||
"Link",
|
||||
h2_links.index,
|
||||
@ -245,7 +245,7 @@ if __name__ == "__main__":
|
||||
attach_stores(n, costs, extendable_carriers)
|
||||
attach_hydrogen_pipelines(n, costs, extendable_carriers)
|
||||
|
||||
add_nice_carrier_names(n, snakemake.config)
|
||||
sanitize_carriers(n, snakemake.config)
|
||||
|
||||
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
|
||||
n.export_to_netcdf(snakemake.output[0])
|
||||
|
@ -714,6 +714,7 @@ def base_network(
|
||||
n.name = "PyPSA-Eur"
|
||||
|
||||
n.set_snapshots(pd.date_range(freq="h", **config["snapshots"]))
|
||||
n.madd("Carrier", ["AC", "DC"])
|
||||
|
||||
n.import_components_from_dataframe(buses, "Bus")
|
||||
n.import_components_from_dataframe(lines, "Line")
|
||||
|
@ -216,8 +216,11 @@ if __name__ == "__main__":
|
||||
if correction_factor != 1.0:
|
||||
logger.info(f"correction_factor is set as {correction_factor}")
|
||||
|
||||
cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
|
||||
client = Client(cluster, asynchronous=True)
|
||||
if nprocesses > 1:
|
||||
# cluster = LocalCluster(n_workers=nprocesses, threads_per_worker=1)
|
||||
client = Client(n_workers=2, threads_per_worker=2, memory_limit="1GB")
|
||||
else:
|
||||
client = None
|
||||
|
||||
cutout = atlite.Cutout(snakemake.input.cutout)
|
||||
regions = gpd.read_file(snakemake.input.regions)
|
||||
|
@ -298,6 +298,8 @@ if __name__ == "__main__":
|
||||
break
|
||||
|
||||
for o in opts:
|
||||
if "+" not in o:
|
||||
continue
|
||||
oo = o.split("+")
|
||||
suptechs = map(lambda c: c.split("-", 2)[0], n.carriers.index)
|
||||
if oo[0].startswith(tuple(suptechs)):
|
||||
|
@ -22,7 +22,7 @@ from _helpers import (
|
||||
override_component_attrs,
|
||||
update_config_with_sector_opts,
|
||||
)
|
||||
from add_electricity import calculate_annuity
|
||||
from add_electricity import calculate_annuity, sanitize_carriers
|
||||
from build_energy_totals import build_co2_totals, build_eea_co2, build_eurostat_co2
|
||||
from networkx.algorithms import complement
|
||||
from networkx.algorithms.connectivity.edge_augmentation import k_edge_augmentation
|
||||
@ -3425,4 +3425,6 @@ if __name__ == "__main__":
|
||||
|
||||
n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
|
||||
|
||||
sanitize_carriers(n, snakemake.config)
|
||||
|
||||
n.export_to_netcdf(snakemake.output[0])
|
||||
|
Loading…
Reference in New Issue
Block a user