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@@ 1370-1406 (lines=37) @@
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log.info("Profile share exported to DB!") |
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def cts_heat(): |
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""" |
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Calculate cts electricity demand share of hvmv substation profile |
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for buildings. |
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""" |
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log.info("Start logging!") |
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with db.session_scope() as session: |
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cells_query = session.query(CtsBuildings) |
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df_cts_buildings = pd.read_sql( |
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cells_query.statement, cells_query.session.bind, index_col=None |
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) |
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log.info("CTS buildings from DB imported!") |
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df_demand_share_2035 = calc_building_demand_profile_share( |
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df_cts_buildings, scenario="eGon2035", sector="heat" |
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) |
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log.info("Profile share for egon2035 calculated!") |
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df_demand_share_100RE = calc_building_demand_profile_share( |
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df_cts_buildings, scenario="eGon100RE", sector="heat" |
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) |
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log.info("Profile share for egon100RE calculated!") |
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df_demand_share = pd.concat( |
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[df_demand_share_2035, df_demand_share_100RE], |
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axis=0, |
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ignore_index=True, |
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) |
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df_demand_share.rename(columns={"id": "building_id"}, inplace=True) |
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write_table_to_postgres( |
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df_demand_share, |
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EgonCtsHeatDemandBuildingShare, |
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engine=engine, |
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drop=True, |
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) |
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log.info("Profile share exported to DB!") |
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def get_cts_electricity_peak_load(): |
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@@ 1331-1367 (lines=37) @@
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log.info("CTS buildings exported to DB!") |
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def cts_electricity(): |
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""" |
| 1333 |
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Calculate cts electricity demand share of hvmv substation profile |
| 1334 |
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for buildings. |
| 1335 |
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""" |
| 1336 |
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log.info("Start logging!") |
| 1337 |
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with db.session_scope() as session: |
| 1338 |
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cells_query = session.query(CtsBuildings) |
| 1339 |
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df_cts_buildings = pd.read_sql( |
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cells_query.statement, cells_query.session.bind, index_col=None |
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) |
| 1343 |
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log.info("CTS buildings from DB imported!") |
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df_demand_share_2035 = calc_building_demand_profile_share( |
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df_cts_buildings, scenario="eGon2035", sector="electricity" |
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) |
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log.info("Profile share for egon2035 calculated!") |
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df_demand_share_100RE = calc_building_demand_profile_share( |
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df_cts_buildings, scenario="eGon100RE", sector="electricity" |
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) |
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log.info("Profile share for egon100RE calculated!") |
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df_demand_share = pd.concat( |
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[df_demand_share_2035, df_demand_share_100RE], |
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axis=0, |
| 1357 |
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ignore_index=True, |
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) |
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df_demand_share.rename(columns={"id": "building_id"}, inplace=True) |
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write_table_to_postgres( |
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df_demand_share, |
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EgonCtsElectricityDemandBuildingShare, |
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engine=engine, |
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drop=True, |
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) |
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log.info("Profile share exported to DB!") |
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def cts_heat(): |
openego /
eGon-data
