openego /
eGon-data
| @@ 117-154 (lines=38) @@ | ||
| 114 | return standort, found |
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| 115 | ||
| 116 | ||
| 117 | def infer_voltage_level( |
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| 118 | units_gdf: gpd.GeoDataFrame, |
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| 119 | ) -> gpd.GeoDataFrame: |
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| 120 | """ |
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| 121 | Infer nan values in voltage level derived from generator capacity to |
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| 122 | the power plants. |
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| 123 | ||
| 124 | Parameters |
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| 125 | ----------- |
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| 126 | units_gdf : geopandas.GeoDataFrame |
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| 127 | GeoDataFrame containing units with voltage levels from MaStR |
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| 128 | Returnsunits_gdf: gpd.GeoDataFrame |
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| 129 | ------- |
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| 130 | geopandas.GeoDataFrame |
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| 131 | GeoDataFrame containing units all having assigned a voltage level. |
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| 132 | """ |
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| 133 | ||
| 134 | def voltage_levels(p: float) -> int: |
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| 135 | if p <= 100: |
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| 136 | return 7 |
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| 137 | elif p <= 200: |
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| 138 | return 6 |
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| 139 | elif p <= 5500: |
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| 140 | return 5 |
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| 141 | elif p <= 20000: |
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| 142 | return 4 |
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| 143 | elif p <= 120000: |
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| 144 | return 3 |
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| 145 | return 1 |
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| 146 | ||
| 147 | units_gdf["voltage_level_inferred"] = False |
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| 148 | mask = units_gdf.voltage_level.isna() |
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| 149 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 150 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[ |
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| 151 | mask |
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| 152 | ].Nettonennleistung.apply(voltage_levels) |
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| 153 | ||
| 154 | return units_gdf |
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| 155 | ||
| 156 | ||
| 157 | def import_mastr() -> None: |
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| @@ 2332-2369 (lines=38) @@ | ||
| 2329 | return buildings_gdf |
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| 2330 | ||
| 2331 | ||
| 2332 | def infer_voltage_level( |
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| 2333 | units_gdf: gpd.GeoDataFrame, |
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| 2334 | ) -> gpd.GeoDataFrame: |
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| 2335 | """ |
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| 2336 | Infer nan values in voltage level derived from generator capacity to |
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| 2337 | the power plants. |
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| 2338 | ||
| 2339 | Parameters |
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| 2340 | ----------- |
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| 2341 | units_gdf : geopandas.GeoDataFrame |
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| 2342 | GeoDataFrame containing units with voltage levels from MaStR |
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| 2343 | Returnsunits_gdf: gpd.GeoDataFrame |
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| 2344 | ------- |
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| 2345 | geopandas.GeoDataFrame |
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| 2346 | GeoDataFrame containing units all having assigned a voltage level. |
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| 2347 | """ |
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| 2348 | ||
| 2349 | def voltage_levels(p: float) -> int: |
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| 2350 | if p <= 0.1: |
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| 2351 | return 7 |
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| 2352 | elif p <= 0.2: |
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| 2353 | return 6 |
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| 2354 | elif p <= 5.5: |
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| 2355 | return 5 |
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| 2356 | elif p <= 20: |
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| 2357 | return 4 |
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| 2358 | elif p <= 120: |
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| 2359 | return 3 |
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| 2360 | return 1 |
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| 2361 | ||
| 2362 | units_gdf["voltage_level_inferred"] = False |
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| 2363 | mask = units_gdf.voltage_level.isna() |
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| 2364 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 2365 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[mask].capacity.apply( |
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| 2366 | voltage_levels |
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| 2367 | ) |
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| 2368 | ||
| 2369 | return units_gdf |
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| 2370 | ||
| 2371 | ||
| 2372 | def pv_rooftop_to_buildings(): |
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