openego /
eGon-data
| @@ 54-107 (lines=54) @@ | ||
| 51 | ] |
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| 52 | ||
| 53 | ||
| 54 | def get_foreign_gas_bus_id(carrier="CH4"): |
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| 55 | """ |
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| 56 | Calculate the etrago bus id based on the geometry |
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| 57 | ||
| 58 | Map node_ids from TYNDP and etragos bus_id |
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| 59 | ||
| 60 | Parameters |
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| 61 | ---------- |
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| 62 | carrier : str |
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| 63 | Name of the carrier |
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| 64 | ||
| 65 | Returns |
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| 66 | ------- |
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| 67 | pandas.Series |
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| 68 | List of mapped node_ids from TYNDP and etragos bus_id |
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| 69 | ||
| 70 | """ |
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| 71 | sources = config.datasets()["gas_neighbours"]["sources"] |
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| 72 | scn_name = "eGon2035" |
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| 73 | ||
| 74 | bus_id = db.select_geodataframe( |
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| 75 | f""" |
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| 76 | SELECT bus_id, ST_Buffer(geom, 1) as geom, country |
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| 77 | FROM grid.egon_etrago_bus |
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| 78 | WHERE scn_name = '{scn_name}'
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| 79 | AND carrier = '{carrier}'
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| 80 | AND country != 'DE' |
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| 81 | """, |
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| 82 | epsg=3035, |
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| 83 | ) |
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| 84 | ||
| 85 | # insert installed capacities |
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| 86 | file = zipfile.ZipFile(f"tyndp/{sources['tyndp_capacities']}")
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| 87 | ||
| 88 | # Select buses in neighbouring countries as geodataframe |
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| 89 | buses = pd.read_excel( |
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| 90 | file.open("TYNDP-2020-Scenario-Datafile.xlsx").read(),
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| 91 | sheet_name="Nodes - Dict", |
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| 92 | ).query("longitude==longitude")
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| 93 | buses = gpd.GeoDataFrame( |
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| 94 | buses, |
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| 95 | crs=4326, |
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| 96 | geometry=gpd.points_from_xy(buses.longitude, buses.latitude), |
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| 97 | ).to_crs(3035) |
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| 98 | ||
| 99 | buses["bus_id"] = 0 |
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| 100 | ||
| 101 | # Select bus_id from etrago with shortest distance to TYNDP node |
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| 102 | for i, row in buses.iterrows(): |
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| 103 | distance = bus_id.set_index("bus_id").geom.distance(row.geometry)
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| 104 | buses.loc[i, "bus_id"] = distance[ |
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| 105 | distance == distance.min() |
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| 106 | ].index.values[0] |
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| 107 | ||
| 108 | return buses.set_index("node_id").bus_id
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| 109 | ||
| 110 | ||
| @@ 904-953 (lines=50) @@ | ||
| 901 | } |
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| 902 | ||
| 903 | ||
| 904 | def get_foreign_bus_id(scenario): |
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| 905 | """Calculte the etrago bus id from Nodes of TYNDP based on the geometry |
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| 906 | ||
| 907 | Returns |
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| 908 | ------- |
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| 909 | pandas.Series |
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| 910 | List of mapped node_ids from TYNDP and etragos bus_id |
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| 911 | ||
| 912 | """ |
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| 913 | ||
| 914 | sources = config.datasets()["electrical_neighbours"]["sources"] |
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| 915 | ||
| 916 | bus_id = db.select_geodataframe( |
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| 917 | f"""SELECT bus_id, ST_Buffer(geom, 1) as geom, country |
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| 918 | FROM grid.egon_etrago_bus |
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| 919 | WHERE scn_name = '{scenario}' |
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| 920 | AND carrier = 'AC' |
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| 921 | AND v_nom = 380. |
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| 922 | AND country != 'DE' |
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| 923 | AND bus_id NOT IN ( |
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| 924 | SELECT bus_i |
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| 925 | FROM osmtgmod_results.bus_data) |
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| 926 | """, |
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| 927 | epsg=3035, |
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| 928 | ) |
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| 929 | ||
| 930 | # insert installed capacities |
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| 931 | file = zipfile.ZipFile(f"tyndp/{sources['tyndp_capacities']}") |
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| 932 | ||
| 933 | # Select buses in neighbouring countries as geodataframe |
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| 934 | buses = pd.read_excel( |
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| 935 | file.open("TYNDP-2020-Scenario-Datafile.xlsx").read(), |
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| 936 | sheet_name="Nodes - Dict", |
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| 937 | ).query("longitude==longitude") |
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| 938 | buses = gpd.GeoDataFrame( |
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| 939 | buses, |
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| 940 | crs=4326, |
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| 941 | geometry=gpd.points_from_xy(buses.longitude, buses.latitude), |
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| 942 | ).to_crs(3035) |
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| 943 | ||
| 944 | buses["bus_id"] = 0 |
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| 945 | ||
| 946 | # Select bus_id from etrago with shortest distance to TYNDP node |
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| 947 | for i, row in buses.iterrows(): |
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| 948 | distance = bus_id.set_index("bus_id").geom.distance(row.geometry) |
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| 949 | buses.loc[i, "bus_id"] = distance[ |
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| 950 | distance == distance.min() |
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| 951 | ].index.values[0] |
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| 952 | ||
| 953 | return buses.set_index("node_id").bus_id |
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| 954 | ||
| 955 | ||
| 956 | def calc_capacities(): |
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