openego /
eGon-data
| @@ 414-471 (lines=58) @@ | ||
| 411 | return load_ts_df, curves_individual |
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| 412 | ||
| 413 | ||
| 414 | def insert_sites_ind_load(): |
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| 415 | """Inserts electrical industry loads assigned to osm landuse areas to the |
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| 416 | database. |
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| 417 | ||
| 418 | Returns |
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| 419 | ------- |
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| 420 | None. |
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| 421 | ||
| 422 | """ |
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| 423 | ||
| 424 | targets = egon.data.config.datasets()["electrical_load_curves_industry"][ |
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| 425 | "targets" |
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| 426 | ] |
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| 427 | ||
| 428 | for scenario in ["eGon2021", "eGon2035", "eGon100RE"]: |
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| 429 | ||
| 430 | # Delete existing data from database |
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| 431 | db.execute_sql( |
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| 432 | f""" |
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| 433 | DELETE FROM |
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| 434 | {targets['sites_load']['schema']}.{targets['sites_load']['table']} |
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| 435 | WHERE scn_name = '{scenario}' |
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| 436 | """ |
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| 437 | ) |
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| 438 | ||
| 439 | # Delete existing data from database |
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| 440 | db.execute_sql( |
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| 441 | f""" |
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| 442 | DELETE FROM |
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| 443 | {targets['sites_load_individual']['schema']}. |
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| 444 | {targets['sites_load_individual']['table']} |
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| 445 | WHERE scn_name = '{scenario}' |
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| 446 | """ |
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| 447 | ) |
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| 448 | ||
| 449 | # Calculate industrial load curves per bus |
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| 450 | data, curves_individual = calc_load_curves_ind_sites(scenario) |
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| 451 | data.index = data.index.rename(["bus", "wz"]) |
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| 452 | data["scn_name"] = scenario |
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| 453 | ||
| 454 | data.set_index(["scn_name"], inplace=True, append=True) |
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| 455 | ||
| 456 | # Insert into database |
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| 457 | data.to_sql( |
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| 458 | targets["sites_load"]["table"], |
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| 459 | schema=targets["sites_load"]["schema"], |
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| 460 | con=db.engine(), |
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| 461 | if_exists="append", |
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| 462 | ) |
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| 463 | ||
| 464 | curves_individual["peak_load"] = np.array( |
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| 465 | curves_individual["p_set"].values.tolist() |
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| 466 | ).max(axis=1) |
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| 467 | curves_individual["demand"] = np.array( |
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| 468 | curves_individual["p_set"].values.tolist() |
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| 469 | ).sum(axis=1) |
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| 470 | curves_individual = identify_voltage_level(curves_individual) |
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| 471 | ||
| 472 | curves_individual.to_sql( |
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| 473 | targets["sites_load_individual"]["table"], |
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| 474 | schema=targets["sites_load_individual"]["schema"], |
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| @@ 245-300 (lines=56) @@ | ||
| 242 | return load_ts_df, curves_individual |
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| 243 | ||
| 244 | ||
| 245 | def insert_osm_ind_load(): |
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| 246 | """Inserts electrical industry loads assigned to osm landuse areas to the |
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| 247 | database. |
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| 248 | ||
| 249 | Returns |
|
| 250 | ------- |
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| 251 | None. |
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| 252 | ||
| 253 | """ |
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| 254 | ||
| 255 | targets = egon.data.config.datasets()["electrical_load_curves_industry"][ |
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| 256 | "targets" |
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| 257 | ] |
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| 258 | ||
| 259 | for scenario in ["eGon2021", "eGon2035", "eGon100RE"]: |
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| 260 | ||
| 261 | # Delete existing data from database |
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| 262 | db.execute_sql( |
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| 263 | f""" |
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| 264 | DELETE FROM |
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| 265 | {targets['osm_load']['schema']}.{targets['osm_load']['table']} |
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| 266 | WHERE scn_name = '{scenario}' |
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| 267 | """ |
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| 268 | ) |
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| 269 | ||
| 270 | db.execute_sql( |
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| 271 | f""" |
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| 272 | DELETE FROM |
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| 273 | {targets['osm_load_individual']['schema']}. |
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| 274 | {targets['osm_load_individual']['table']} |
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| 275 | WHERE scn_name = '{scenario}' |
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| 276 | """ |
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| 277 | ) |
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| 278 | ||
| 279 | # Calculate cts load curves per mv substation (hvmv bus) |
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| 280 | data, curves_individual = calc_load_curves_ind_osm(scenario) |
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| 281 | data.index = data.index.rename("bus") |
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| 282 | data["scn_name"] = scenario |
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| 283 | ||
| 284 | data.set_index(["scn_name"], inplace=True, append=True) |
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| 285 | ||
| 286 | # Insert into database |
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| 287 | data.to_sql( |
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| 288 | targets["osm_load"]["table"], |
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| 289 | schema=targets["osm_load"]["schema"], |
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| 290 | con=db.engine(), |
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| 291 | if_exists="append", |
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| 292 | ) |
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| 293 | ||
| 294 | curves_individual["peak_load"] = np.array( |
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| 295 | curves_individual["p_set"].values.tolist() |
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| 296 | ).max(axis=1) |
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| 297 | curves_individual["demand"] = np.array( |
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| 298 | curves_individual["p_set"].values.tolist() |
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| 299 | ).sum(axis=1) |
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| 300 | curves_individual = identify_voltage_level(curves_individual) |
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| 301 | ||
| 302 | curves_individual.to_sql( |
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| 303 | targets["osm_load_individual"]["table"], |
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