openego /
eGon-data
| @@ 45-98 (lines=54) @@ | ||
| 42 | ] |
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| 43 | ||
| 44 | ||
| 45 | def get_foreign_gas_bus_id(carrier="CH4"): |
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| 46 | """Calculate the etrago bus id based on the geometry |
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| 47 | ||
| 48 | Mapp node_ids from TYNDP and etragos bus_id |
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| 49 | ||
| 50 | Parameters |
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| 51 | ---------- |
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| 52 | carrier : str |
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| 53 | Name of the carrier |
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| 54 | ||
| 55 | Returns |
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| 56 | ------- |
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| 57 | pandas.Series |
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| 58 | List of mapped node_ids from TYNDP and etragos bus_id |
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| 59 | ||
| 60 | """ |
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| 61 | sources = config.datasets()["gas_neighbours"]["sources"] |
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| 62 | scn_name = "eGon2035" |
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| 63 | ||
| 64 | bus_id = db.select_geodataframe( |
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| 65 | f""" |
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| 66 | SELECT bus_id, ST_Buffer(geom, 1) as geom, country |
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| 67 | FROM grid.egon_etrago_bus |
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| 68 | WHERE scn_name = '{scn_name}'
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| 69 | AND carrier = '{carrier}'
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| 70 | AND country != 'DE' |
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| 71 | """, |
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| 72 | epsg=3035, |
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| 73 | ) |
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| 74 | ||
| 75 | # insert installed capacities |
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| 76 | file = zipfile.ZipFile(f"tyndp/{sources['tyndp_capacities']}")
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| 77 | ||
| 78 | # Select buses in neighbouring countries as geodataframe |
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| 79 | buses = pd.read_excel( |
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| 80 | file.open("TYNDP-2020-Scenario-Datafile.xlsx").read(),
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| 81 | sheet_name="Nodes - Dict", |
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| 82 | ).query("longitude==longitude")
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| 83 | buses = gpd.GeoDataFrame( |
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| 84 | buses, |
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| 85 | crs=4326, |
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| 86 | geometry=gpd.points_from_xy(buses.longitude, buses.latitude), |
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| 87 | ).to_crs(3035) |
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| 88 | ||
| 89 | buses["bus_id"] = 0 |
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| 90 | ||
| 91 | # Select bus_id from etrago with shortest distance to TYNDP node |
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| 92 | for i, row in buses.iterrows(): |
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| 93 | distance = bus_id.set_index("bus_id").geom.distance(row.geometry)
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|
| 94 | buses.loc[i, "bus_id"] = distance[ |
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| 95 | distance == distance.min() |
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| 96 | ].index.values[0] |
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| 97 | ||
| 98 | return buses.set_index("node_id").bus_id
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| 99 | ||
| 100 | ||
| 101 | def read_LNG_capacities(): |
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| @@ 740-789 (lines=50) @@ | ||
| 737 | } |
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| 738 | ||
| 739 | ||
| 740 | def get_foreign_bus_id(): |
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| 741 | """Calculte the etrago bus id from Nodes of TYNDP based on the geometry |
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| 742 | ||
| 743 | Returns |
|
| 744 | ------- |
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| 745 | pandas.Series |
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| 746 | List of mapped node_ids from TYNDP and etragos bus_id |
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| 747 | ||
| 748 | """ |
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| 749 | ||
| 750 | sources = config.datasets()["electrical_neighbours"]["sources"] |
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| 751 | ||
| 752 | bus_id = db.select_geodataframe( |
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| 753 | """SELECT bus_id, ST_Buffer(geom, 1) as geom, country |
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| 754 | FROM grid.egon_etrago_bus |
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| 755 | WHERE scn_name = 'eGon2035' |
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| 756 | AND carrier = 'AC' |
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| 757 | AND v_nom = 380. |
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| 758 | AND country != 'DE' |
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| 759 | AND bus_id NOT IN ( |
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| 760 | SELECT bus_i |
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| 761 | FROM osmtgmod_results.bus_data) |
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| 762 | """, |
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| 763 | epsg=3035, |
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| 764 | ) |
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| 765 | ||
| 766 | # insert installed capacities |
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| 767 | file = zipfile.ZipFile(f"tyndp/{sources['tyndp_capacities']}") |
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| 768 | ||
| 769 | # Select buses in neighbouring countries as geodataframe |
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| 770 | buses = pd.read_excel( |
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| 771 | file.open("TYNDP-2020-Scenario-Datafile.xlsx").read(), |
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| 772 | sheet_name="Nodes - Dict", |
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| 773 | ).query("longitude==longitude") |
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| 774 | buses = gpd.GeoDataFrame( |
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| 775 | buses, |
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| 776 | crs=4326, |
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| 777 | geometry=gpd.points_from_xy(buses.longitude, buses.latitude), |
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| 778 | ).to_crs(3035) |
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| 779 | ||
| 780 | buses["bus_id"] = 0 |
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| 781 | ||
| 782 | # Select bus_id from etrago with shortest distance to TYNDP node |
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| 783 | for i, row in buses.iterrows(): |
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| 784 | distance = bus_id.set_index("bus_id").geom.distance(row.geometry) |
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| 785 | buses.loc[i, "bus_id"] = distance[ |
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| 786 | distance == distance.min() |
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| 787 | ].index.values[0] |
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| 788 | ||
| 789 | return buses.set_index("node_id").bus_id |
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| 790 | ||
| 791 | ||
| 792 | def calc_capacities(): |
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