openego /
eGon-data
| @@ 2319-2356 (lines=38) @@ | ||
| 2316 | return buildings_gdf |
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| 2317 | ||
| 2318 | ||
| 2319 | def infer_voltage_level( |
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| 2320 | units_gdf: gpd.GeoDataFrame, |
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| 2321 | ) -> gpd.GeoDataFrame: |
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| 2322 | """ |
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| 2323 | Infer nan values in voltage level derived from generator capacity to |
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| 2324 | the power plants. |
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| 2325 | ||
| 2326 | Parameters |
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| 2327 | ----------- |
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| 2328 | units_gdf : geopandas.GeoDataFrame |
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| 2329 | GeoDataFrame containing units with voltage levels from MaStR |
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| 2330 | Returnsunits_gdf: gpd.GeoDataFrame |
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| 2331 | ------- |
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| 2332 | geopandas.GeoDataFrame |
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| 2333 | GeoDataFrame containing units all having assigned a voltage level. |
|
| 2334 | """ |
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| 2335 | ||
| 2336 | def voltage_levels(p: float) -> int: |
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| 2337 | if p <= 0.1: |
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| 2338 | return 7 |
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| 2339 | elif p <= 0.2: |
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| 2340 | return 6 |
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| 2341 | elif p <= 5.5: |
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| 2342 | return 5 |
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| 2343 | elif p <= 20: |
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| 2344 | return 4 |
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| 2345 | elif p <= 120: |
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| 2346 | return 3 |
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| 2347 | return 1 |
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| 2348 | ||
| 2349 | units_gdf["voltage_level_inferred"] = False |
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| 2350 | mask = units_gdf.voltage_level.isna() |
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| 2351 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 2352 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[mask].capacity.apply( |
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| 2353 | voltage_levels |
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| 2354 | ) |
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| 2355 | ||
| 2356 | return units_gdf |
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| 2357 | ||
| 2358 | ||
| 2359 | def pv_rooftop_to_buildings(): |
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| @@ 118-155 (lines=38) @@ | ||
| 115 | return standort, found |
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| 116 | ||
| 117 | ||
| 118 | def infer_voltage_level( |
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| 119 | units_gdf: gpd.GeoDataFrame, |
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| 120 | ) -> gpd.GeoDataFrame: |
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| 121 | """ |
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| 122 | Infer nan values in voltage level derived from generator capacity to |
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| 123 | the power plants. |
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| 124 | ||
| 125 | Parameters |
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| 126 | ----------- |
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| 127 | units_gdf : geopandas.GeoDataFrame |
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| 128 | GeoDataFrame containing units with voltage levels from MaStR |
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| 129 | Returnsunits_gdf: gpd.GeoDataFrame |
|
| 130 | ------- |
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| 131 | geopandas.GeoDataFrame |
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| 132 | GeoDataFrame containing units all having assigned a voltage level. |
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| 133 | """ |
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| 134 | ||
| 135 | def voltage_levels(p: float) -> int: |
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| 136 | if p <= 100: |
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| 137 | return 7 |
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| 138 | elif p <= 200: |
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| 139 | return 6 |
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| 140 | elif p <= 5500: |
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| 141 | return 5 |
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| 142 | elif p <= 20000: |
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| 143 | return 4 |
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| 144 | elif p <= 120000: |
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| 145 | return 3 |
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| 146 | return 1 |
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| 147 | ||
| 148 | units_gdf["voltage_level_inferred"] = False |
|
| 149 | mask = units_gdf.voltage_level.isna() |
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| 150 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 151 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[ |
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| 152 | mask |
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| 153 | ].Nettonennleistung.apply(voltage_levels) |
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| 154 | ||
| 155 | return units_gdf |
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| 156 | ||
| 157 | ||
| 158 | def import_mastr() -> None: |
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