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"""Import MaStR dataset and write to DB tables""" |
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import pandas as pd |
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from egon.data.datasets.power_plants import ( |
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EgonPowerPlantsBiomass, |
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EgonPowerPlantsHydro, |
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EgonPowerPlantsPv, |
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EgonPowerPlantsWind, |
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) |
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import egon.data.config |
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def import_mastr(): |
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cfg = egon.data.config.datasets()["power_plants"] |
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cols_mapping = { |
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"all": { |
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"EinheitMastrNummer": "gens_id", |
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"EinheitBetriebsstatus": "status", |
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"Inbetriebnahmedatum": "commissioning_date", |
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"Postleitzahl": "postcode", |
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"Ort": "city", |
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"Bundesland": "federal_state", |
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"Nettonennleistung": "capacity", |
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"Einspeisungsart": "feedin_type", |
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}, |
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"pv": { |
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"Lage": "site_type", |
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"Nutzungsbereich": "usage_sector", |
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"Hauptausrichtung": "orientation_primary", |
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"HauptausrichtungNeigungswinkel": "orientation_primary_angle", |
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"Nebenausrichtung": "orientation_secondary", |
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"NebenausrichtungNeigungswinkel": "orientation_secondary_angle", |
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"EinheitlicheAusrichtungUndNeigungswinkel": "orientation_uniform", |
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"AnzahlModule": "module_count", |
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"ZugeordneteWirkleistungWechselrichter": "capacity_inverter", |
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}, |
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"wind": { |
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"Lage": "site_type", |
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"Hersteller": "manufacturer_name", |
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"Typenbezeichnung": "type_name", |
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"Nabenhoehe": "hub_height", |
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"Rotordurchmesser": "rotor_diameter", |
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}, |
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"biomass": { |
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"Technologie": "technology", |
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"Hauptbrennstoff": "fuel_name", |
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"Biomasseart": "fuel_type", |
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"ThermischeNutzleistung": "th_capacity", |
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}, |
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"hydro": { |
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"ArtDerWasserkraftanlage": "type", |
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"ArtDesZuflusses": "water_origin", |
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}, |
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} |
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source_files = { |
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"pv": cfg["sources"]["mastr_pv"], |
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"wind": cfg["sources"]["mastr_wind"], |
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"biomass": cfg["sources"]["mastr_biomass"], |
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"hydro": cfg["sources"]["mastr_hydro"], |
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} |
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target_tables = { |
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"pv": EgonPowerPlantsPv, |
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"wind": EgonPowerPlantsWind, |
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"biomass": EgonPowerPlantsBiomass, |
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"hydro": EgonPowerPlantsHydro, |
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} |
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# import locations |
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locations = pd.read_csv(cfg["sources"]["mastr_location"], index_col=None) |
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# import units |
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technologies = ["pv", "wind", "biomass", "hydro"] |
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for tech in technologies: |
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units = pd.read_csv( |
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source_files[tech], |
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usecols=( |
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list(cols_mapping["all"].keys()) |
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+ list(cols_mapping[tech].keys()) |
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), |
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index_col=None, |
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).rename(columns=cols_mapping) |
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openego /
eGon-data
