openego /
eGon-data
| @@ 474-494 (lines=21) @@ | ||
| 471 | return df |
|
| 472 | ||
| 473 | ||
| 474 | def plot_heat_supply(resulting_capacities): |
|
| 475 | from matplotlib import pyplot as plt |
|
| 476 | ||
| 477 | district_heating_areas = select_district_heating_areas("eGon2035") |
|
| 478 | ||
| 479 | for c in ["CHP", "solar_thermal_collector", "geo_thermal", "heat_pump"]: |
|
| 480 | district_heating_areas[c] = ( |
|
| 481 | resulting_capacities[resulting_capacities.carrier == c] |
|
| 482 | .set_index("district_heating_id") |
|
| 483 | .capacity |
|
| 484 | ) |
|
| 485 | ||
| 486 | fig, ax = plt.subplots(1, 1) |
|
| 487 | district_heating_areas.boundary.plot( |
|
| 488 | linewidth=0.2, ax=ax, color="black" |
|
| 489 | ) |
|
| 490 | district_heating_areas.plot( |
|
| 491 | ax=ax, |
|
| 492 | column=c, |
|
| 493 | cmap="magma_r", |
|
| 494 | legend=True, |
|
| 495 | legend_kwds={ |
|
| 496 | "label": f"Installed {c} in MW", |
|
| 497 | "orientation": "vertical", |
|
| @@ 1007-1030 (lines=24) @@ | ||
| 1004 | return df_profile_merge.loc[:, columns] |
|
| 1005 | ||
| 1006 | ||
| 1007 | def plot_heat_supply(resulting_capacities): |
|
| 1008 | from matplotlib import pyplot as plt |
|
| 1009 | ||
| 1010 | mv_grids = db.select_geodataframe( |
|
| 1011 | """ |
|
| 1012 | SELECT * FROM grid.egon_mv_grid_district |
|
| 1013 | """, |
|
| 1014 | index_col="bus_id", |
|
| 1015 | ) |
|
| 1016 | ||
| 1017 | for c in ["CHP", "heat_pump"]: |
|
| 1018 | mv_grids[c] = ( |
|
| 1019 | resulting_capacities[resulting_capacities.carrier == c] |
|
| 1020 | .set_index("mv_grid_id") |
|
| 1021 | .capacity |
|
| 1022 | ) |
|
| 1023 | ||
| 1024 | fig, ax = plt.subplots(1, 1) |
|
| 1025 | mv_grids.boundary.plot(linewidth=0.2, ax=ax, color="black") |
|
| 1026 | mv_grids.plot( |
|
| 1027 | ax=ax, |
|
| 1028 | column=c, |
|
| 1029 | cmap="magma_r", |
|
| 1030 | legend=True, |
|
| 1031 | legend_kwds={ |
|
| 1032 | "label": f"Installed {c} in MW", |
|
| 1033 | "orientation": "vertical", |
|
