openego /
eGon-data
| @@ 239-294 (lines=56) @@ | ||
| 236 | return load_ts_df, curves_individual |
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| 237 | ||
| 238 | ||
| 239 | def insert_osm_ind_load(): |
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| 240 | """Inserts electrical industry loads assigned to osm landuse areas to the database |
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| 241 | ||
| 242 | Returns |
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| 243 | ------- |
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| 244 | None. |
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| 245 | ||
| 246 | """ |
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| 247 | ||
| 248 | targets = egon.data.config.datasets()["electrical_load_curves_industry"][ |
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| 249 | "targets" |
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| 250 | ] |
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| 251 | ||
| 252 | for scenario in ["eGon2035", "eGon100RE"]: |
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| 253 | ||
| 254 | # Delete existing data from database |
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| 255 | db.execute_sql( |
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| 256 | f""" |
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| 257 | DELETE FROM |
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| 258 | {targets['osm_load']['schema']}.{targets['osm_load']['table']} |
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| 259 | WHERE scn_name = '{scenario}' |
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| 260 | """ |
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| 261 | ) |
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| 262 | ||
| 263 | db.execute_sql( |
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| 264 | f""" |
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| 265 | DELETE FROM |
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| 266 | {targets['osm_load_individual']['schema']}.{targets['osm_load_individual']['table']} |
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| 267 | WHERE scn_name = '{scenario}' |
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| 268 | """ |
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| 269 | ) |
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| 270 | ||
| 271 | # Calculate cts load curves per mv substation (hvmv bus) |
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| 272 | data, curves_individual = calc_load_curves_ind_osm(scenario) |
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| 273 | data.index = data.index.rename("bus") |
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| 274 | data["scn_name"] = scenario |
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| 275 | ||
| 276 | data.set_index(["scn_name"], inplace=True, append=True) |
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| 277 | ||
| 278 | # Insert into database |
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| 279 | data.to_sql( |
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| 280 | targets["osm_load"]["table"], |
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| 281 | schema=targets["osm_load"]["schema"], |
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| 282 | con=db.engine(), |
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| 283 | if_exists="append", |
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| 284 | ) |
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| 285 | ||
| 286 | curves_individual["peak_load"] = np.array( |
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| 287 | curves_individual["p_set"].values.tolist() |
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| 288 | ).max(axis=1) |
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| 289 | curves_individual["demand"] = np.array( |
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| 290 | curves_individual["p_set"].values.tolist() |
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| 291 | ).sum(axis=1) |
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| 292 | curves_individual = identify_voltage_level(curves_individual) |
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| 293 | ||
| 294 | curves_individual.to_sql( |
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| 295 | targets["osm_load_individual"]["table"], |
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| 296 | schema=targets["osm_load_individual"]["schema"], |
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| 297 | con=db.engine(), |
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| @@ 404-461 (lines=58) @@ | ||
| 401 | return load_ts_df, curves_individual |
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| 402 | ||
| 403 | ||
| 404 | def insert_sites_ind_load(): |
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| 405 | """Inserts electrical industry loads assigned to osm landuse areas to the database |
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| 406 | ||
| 407 | Returns |
|
| 408 | ------- |
|
| 409 | None. |
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| 410 | ||
| 411 | """ |
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| 412 | ||
| 413 | targets = egon.data.config.datasets()["electrical_load_curves_industry"][ |
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| 414 | "targets" |
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| 415 | ] |
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| 416 | ||
| 417 | for scenario in ["eGon2035", "eGon100RE"]: |
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| 418 | ||
| 419 | # Delete existing data from database |
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| 420 | db.execute_sql( |
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| 421 | f""" |
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| 422 | DELETE FROM |
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| 423 | {targets['sites_load']['schema']}.{targets['sites_load']['table']} |
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| 424 | WHERE scn_name = '{scenario}' |
|
| 425 | """ |
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| 426 | ) |
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| 427 | ||
| 428 | # Delete existing data from database |
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| 429 | db.execute_sql( |
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| 430 | f""" |
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| 431 | DELETE FROM |
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| 432 | {targets['sites_load_individual']['schema']}. |
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| 433 | {targets['sites_load_individual']['table']} |
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| 434 | WHERE scn_name = '{scenario}' |
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| 435 | """ |
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| 436 | ) |
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| 437 | ||
| 438 | # Calculate industrial load curves per bus |
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| 439 | data, curves_individual = calc_load_curves_ind_sites(scenario) |
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| 440 | data.index = data.index.rename(["bus", "wz"]) |
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| 441 | data["scn_name"] = scenario |
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| 442 | ||
| 443 | data.set_index(["scn_name"], inplace=True, append=True) |
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| 444 | ||
| 445 | # Insert into database |
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| 446 | data.to_sql( |
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| 447 | targets["sites_load"]["table"], |
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| 448 | schema=targets["sites_load"]["schema"], |
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| 449 | con=db.engine(), |
|
| 450 | if_exists="append", |
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| 451 | ) |
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| 452 | ||
| 453 | curves_individual["peak_load"] = np.array( |
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| 454 | curves_individual["p_set"].values.tolist() |
|
| 455 | ).max(axis=1) |
|
| 456 | curves_individual["demand"] = np.array( |
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| 457 | curves_individual["p_set"].values.tolist() |
|
| 458 | ).sum(axis=1) |
|
| 459 | curves_individual = identify_voltage_level(curves_individual) |
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| 460 | ||
| 461 | curves_individual.to_sql( |
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| 462 | targets["sites_load_individual"]["table"], |
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| 463 | schema=targets["sites_load_individual"]["schema"], |
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| 464 | con=db.engine(), |
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