openego /
eGon-data
| @@ 462-482 (lines=21) @@ | ||
| 459 | return df |
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| 460 | ||
| 461 | ||
| 462 | def plot_heat_supply(resulting_capacities): |
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| 463 | ||
| 464 | from matplotlib import pyplot as plt |
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| 465 | ||
| 466 | district_heating_areas = select_district_heating_areas("eGon2035") |
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| 467 | ||
| 468 | for c in ["CHP", "solar_thermal_collector", "geo_thermal", "heat_pump"]: |
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| 469 | district_heating_areas[c] = ( |
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| 470 | resulting_capacities[resulting_capacities.carrier == c] |
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| 471 | .set_index("district_heating_id") |
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| 472 | .capacity |
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| 473 | ) |
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| 474 | ||
| 475 | fig, ax = plt.subplots(1, 1) |
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| 476 | district_heating_areas.boundary.plot( |
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| 477 | linewidth=0.2, ax=ax, color="black" |
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| 478 | ) |
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| 479 | district_heating_areas.plot( |
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| 480 | ax=ax, |
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| 481 | column=c, |
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| 482 | cmap="magma_r", |
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| 483 | legend=True, |
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| 484 | legend_kwds={ |
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| 485 | "label": f"Installed {c} in MW", |
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| @@ 673-696 (lines=24) @@ | ||
| 670 | return df_profile_merge.loc[:, columns] |
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| 671 | ||
| 672 | ||
| 673 | def plot_heat_supply(resulting_capacities): |
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| 674 | ||
| 675 | from matplotlib import pyplot as plt |
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| 676 | ||
| 677 | mv_grids = db.select_geodataframe( |
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| 678 | """ |
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| 679 | SELECT * FROM grid.egon_mv_grid_district |
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| 680 | """, |
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| 681 | index_col="bus_id", |
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| 682 | ) |
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| 683 | ||
| 684 | for c in ["CHP", "heat_pump"]: |
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| 685 | mv_grids[c] = ( |
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| 686 | resulting_capacities[resulting_capacities.carrier == c] |
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| 687 | .set_index("mv_grid_id") |
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| 688 | .capacity |
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| 689 | ) |
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| 690 | ||
| 691 | fig, ax = plt.subplots(1, 1) |
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| 692 | mv_grids.boundary.plot(linewidth=0.2, ax=ax, color="black") |
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| 693 | mv_grids.plot( |
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| 694 | ax=ax, |
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| 695 | column=c, |
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| 696 | cmap="magma_r", |
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| 697 | legend=True, |
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| 698 | legend_kwds={ |
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| 699 | "label": f"Installed {c} in MW", |
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