openego /
eGon-data
| @@ 480-500 (lines=21) @@ | ||
| 477 | return df |
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| 478 | ||
| 479 | ||
| 480 | def plot_heat_supply(resulting_capacities): |
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| 481 | from matplotlib import pyplot as plt |
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| 482 | ||
| 483 | district_heating_areas = select_district_heating_areas("eGon2035") |
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| 484 | ||
| 485 | for c in ["CHP", "solar_thermal_collector", "geo_thermal", "heat_pump"]: |
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| 486 | district_heating_areas[c] = ( |
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| 487 | resulting_capacities[resulting_capacities.carrier == c] |
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| 488 | .set_index("district_heating_id") |
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| 489 | .capacity |
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| 490 | ) |
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| 491 | ||
| 492 | fig, ax = plt.subplots(1, 1) |
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| 493 | district_heating_areas.boundary.plot( |
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| 494 | linewidth=0.2, ax=ax, color="black" |
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| 495 | ) |
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| 496 | district_heating_areas.plot( |
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| 497 | ax=ax, |
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| 498 | column=c, |
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| 499 | cmap="magma_r", |
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| 500 | legend=True, |
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| 501 | legend_kwds={ |
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| 502 | "label": f"Installed {c} in MW", |
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| 503 | "orientation": "vertical", |
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| @@ 1144-1167 (lines=24) @@ | ||
| 1141 | return df_profile_merge.loc[:, columns] |
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| 1142 | ||
| 1143 | ||
| 1144 | def plot_heat_supply(resulting_capacities): |
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| 1145 | from matplotlib import pyplot as plt |
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| 1146 | ||
| 1147 | mv_grids = db.select_geodataframe( |
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| 1148 | """ |
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| 1149 | SELECT * FROM grid.egon_mv_grid_district |
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| 1150 | """, |
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| 1151 | index_col="bus_id", |
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| 1152 | ) |
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| 1153 | ||
| 1154 | for c in ["CHP", "heat_pump"]: |
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| 1155 | mv_grids[c] = ( |
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| 1156 | resulting_capacities[resulting_capacities.carrier == c] |
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| 1157 | .set_index("mv_grid_id") |
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| 1158 | .capacity |
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| 1159 | ) |
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| 1160 | ||
| 1161 | fig, ax = plt.subplots(1, 1) |
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| 1162 | mv_grids.boundary.plot(linewidth=0.2, ax=ax, color="black") |
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| 1163 | mv_grids.plot( |
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| 1164 | ax=ax, |
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| 1165 | column=c, |
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| 1166 | cmap="magma_r", |
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| 1167 | legend=True, |
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| 1168 | legend_kwds={ |
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| 1169 | "label": f"Installed {c} in MW", |
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| 1170 | "orientation": "vertical", |
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