openego /
eGon-data
| @@ 2365-2402 (lines=38) @@ | ||
| 2362 | return buildings_gdf |
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| 2363 | ||
| 2364 | ||
| 2365 | def infer_voltage_level( |
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| 2366 | units_gdf: gpd.GeoDataFrame, |
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| 2367 | ) -> gpd.GeoDataFrame: |
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| 2368 | """ |
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| 2369 | Infer nan values in voltage level derived from generator capacity to |
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| 2370 | the power plants. |
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| 2371 | ||
| 2372 | Parameters |
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| 2373 | ----------- |
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| 2374 | units_gdf : geopandas.GeoDataFrame |
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| 2375 | GeoDataFrame containing units with voltage levels from MaStR |
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| 2376 | Returnsunits_gdf: gpd.GeoDataFrame |
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| 2377 | ------- |
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| 2378 | geopandas.GeoDataFrame |
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| 2379 | GeoDataFrame containing units all having assigned a voltage level. |
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| 2380 | """ |
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| 2381 | ||
| 2382 | def voltage_levels(p: float) -> int: |
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| 2383 | if p <= 0.1: |
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| 2384 | return 7 |
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| 2385 | elif p <= 0.2: |
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| 2386 | return 6 |
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| 2387 | elif p <= 5.5: |
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| 2388 | return 5 |
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| 2389 | elif p <= 20: |
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| 2390 | return 4 |
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| 2391 | elif p <= 120: |
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| 2392 | return 3 |
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| 2393 | return 1 |
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| 2394 | ||
| 2395 | units_gdf["voltage_level_inferred"] = False |
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| 2396 | mask = units_gdf.voltage_level.isna() |
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| 2397 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 2398 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[mask].capacity.apply( |
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| 2399 | voltage_levels |
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| 2400 | ) |
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| 2401 | ||
| 2402 | return units_gdf |
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| 2403 | ||
| 2404 | ||
| 2405 | def pv_rooftop_to_buildings(): |
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| @@ 122-159 (lines=38) @@ | ||
| 119 | return standort, found |
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| 120 | ||
| 121 | ||
| 122 | def infer_voltage_level( |
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| 123 | units_gdf: gpd.GeoDataFrame, |
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| 124 | ) -> gpd.GeoDataFrame: |
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| 125 | """ |
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| 126 | Infer nan values in voltage level derived from generator capacity to |
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| 127 | the power plants. |
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| 128 | ||
| 129 | Parameters |
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| 130 | ----------- |
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| 131 | units_gdf : geopandas.GeoDataFrame |
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| 132 | GeoDataFrame containing units with voltage levels from MaStR |
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| 133 | Returns |
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| 134 | ------- |
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| 135 | geopandas.GeoDataFrame |
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| 136 | GeoDataFrame containing units all having assigned a voltage level. |
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| 137 | """ |
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| 138 | ||
| 139 | def voltage_levels(p: float) -> int: |
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| 140 | if p <= 100: |
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| 141 | return 7 |
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| 142 | elif p <= 200: |
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| 143 | return 6 |
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| 144 | elif p <= 5500: |
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| 145 | return 5 |
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| 146 | elif p <= 20000: |
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| 147 | return 4 |
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| 148 | elif p <= 120000: |
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| 149 | return 3 |
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| 150 | return 1 |
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| 151 | ||
| 152 | units_gdf["voltage_level_inferred"] = False |
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| 153 | mask = units_gdf.voltage_level.isna() |
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| 154 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 155 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[ |
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| 156 | mask |
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| 157 | ].Nettonennleistung.apply(voltage_levels) |
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| 158 | ||
| 159 | return units_gdf |
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| 160 | ||
| 161 | ||
| 162 | def import_mastr() -> None: |
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