openego /
eGon-data
| @@ 121-158 (lines=38) @@ | ||
| 118 | return standort, found |
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| 119 | ||
| 120 | ||
| 121 | def infer_voltage_level( |
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| 122 | units_gdf: gpd.GeoDataFrame, |
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| 123 | ) -> gpd.GeoDataFrame: |
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| 124 | """ |
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| 125 | Infer nan values in voltage level derived from generator capacity to |
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| 126 | the power plants. |
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| 127 | ||
| 128 | Parameters |
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| 129 | ----------- |
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| 130 | units_gdf : geopandas.GeoDataFrame |
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| 131 | GeoDataFrame containing units with voltage levels from MaStR |
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| 132 | Returns |
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| 133 | ------- |
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| 134 | geopandas.GeoDataFrame |
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| 135 | GeoDataFrame containing units all having assigned a voltage level. |
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| 136 | """ |
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| 137 | ||
| 138 | def voltage_levels(p: float) -> int: |
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| 139 | if p <= 100: |
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| 140 | return 7 |
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| 141 | elif p <= 200: |
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| 142 | return 6 |
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| 143 | elif p <= 5500: |
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| 144 | return 5 |
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| 145 | elif p <= 20000: |
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| 146 | return 4 |
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| 147 | elif p <= 120000: |
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| 148 | return 3 |
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| 149 | return 1 |
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| 150 | ||
| 151 | units_gdf["voltage_level_inferred"] = False |
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| 152 | mask = units_gdf.voltage_level.isna() |
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| 153 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 154 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[ |
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| 155 | mask |
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| 156 | ].Nettonennleistung.apply(voltage_levels) |
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| 157 | ||
| 158 | return units_gdf |
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| 159 | ||
| 160 | ||
| 161 | def import_mastr() -> None: |
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| @@ 2364-2401 (lines=38) @@ | ||
| 2361 | return buildings_gdf |
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| 2362 | ||
| 2363 | ||
| 2364 | def infer_voltage_level( |
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| 2365 | units_gdf: gpd.GeoDataFrame, |
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| 2366 | ) -> gpd.GeoDataFrame: |
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| 2367 | """ |
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| 2368 | Infer nan values in voltage level derived from generator capacity to |
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| 2369 | the power plants. |
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| 2370 | ||
| 2371 | Parameters |
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| 2372 | ----------- |
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| 2373 | units_gdf : geopandas.GeoDataFrame |
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| 2374 | GeoDataFrame containing units with voltage levels from MaStR |
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| 2375 | Returnsunits_gdf: gpd.GeoDataFrame |
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| 2376 | ------- |
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| 2377 | geopandas.GeoDataFrame |
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| 2378 | GeoDataFrame containing units all having assigned a voltage level. |
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| 2379 | """ |
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| 2380 | ||
| 2381 | def voltage_levels(p: float) -> int: |
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| 2382 | if p <= 0.1: |
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| 2383 | return 7 |
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| 2384 | elif p <= 0.2: |
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| 2385 | return 6 |
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| 2386 | elif p <= 5.5: |
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| 2387 | return 5 |
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| 2388 | elif p <= 20: |
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| 2389 | return 4 |
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| 2390 | elif p <= 120: |
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| 2391 | return 3 |
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| 2392 | return 1 |
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| 2393 | ||
| 2394 | units_gdf["voltage_level_inferred"] = False |
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| 2395 | mask = units_gdf.voltage_level.isna() |
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| 2396 | units_gdf.loc[mask, "voltage_level_inferred"] = True |
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| 2397 | units_gdf.loc[mask, "voltage_level"] = units_gdf.loc[mask].capacity.apply( |
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| 2398 | voltage_levels |
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| 2399 | ) |
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| 2400 | ||
| 2401 | return units_gdf |
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| 2402 | ||
| 2403 | ||
| 2404 | def pv_rooftop_to_buildings(): |
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