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""" |
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This module does sanity checks for both the eGon2035 and the eGon100RE scenario |
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separately where a percentage error is given to showcase difference in output |
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and input values. Please note that there are missing input technologies in the |
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supply tables. |
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Authors: @ALonso, @dana, @nailend, @nesnoj |
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""" |
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from pathlib import Path |
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import ast |
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from sqlalchemy import Numeric |
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from sqlalchemy.sql import and_, cast, func, or_ |
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import numpy as np |
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import pandas as pd |
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from egon.data import config, db, logger |
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from egon.data.datasets import Dataset |
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from egon.data.datasets.electricity_demand_timeseries.cts_buildings import ( |
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EgonCtsElectricityDemandBuildingShare, |
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EgonCtsHeatDemandBuildingShare, |
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) |
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from egon.data.datasets.emobility.motorized_individual_travel.db_classes import ( |
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EgonEvCountMunicipality, |
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EgonEvCountMvGridDistrict, |
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EgonEvCountRegistrationDistrict, |
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EgonEvMvGridDistrict, |
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EgonEvPool, |
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EgonEvTrip, |
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) |
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from egon.data.datasets.emobility.motorized_individual_travel.helpers import ( |
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DATASET_CFG, |
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read_simbev_metadata_file, |
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) |
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from egon.data.datasets.etrago_setup import ( |
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EgonPfHvLink, |
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EgonPfHvLinkTimeseries, |
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EgonPfHvLoad, |
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EgonPfHvLoadTimeseries, |
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EgonPfHvStore, |
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EgonPfHvStoreTimeseries, |
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) |
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from egon.data.datasets.gas_grid import ( |
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define_gas_nodes_list, |
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define_gas_pipeline_list, |
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insert_gas_buses_abroad, |
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) |
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from egon.data.datasets.hydrogen_etrago.storage import ( |
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calculate_and_map_saltcavern_storage_potential, |
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) |
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from egon.data.datasets.pypsaeursec import read_network |
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from egon.data.datasets.scenario_parameters import get_sector_parameters |
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TESTMODE_OFF = ( |
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config.settings()["egon-data"]["--dataset-boundary"] == "Everything" |
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) |
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class SanityChecks(Dataset): |
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#: |
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name: str = "SanityChecks" |
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#: |
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version: str = "0.0.6" |
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def __init__(self, dependencies): |
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super().__init__( |
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name=self.name, |
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version=self.version, |
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dependencies=dependencies, |
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tasks={ |
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etrago_eGon2035_electricity, |
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etrago_eGon2035_heat, |
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residential_electricity_annual_sum, |
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residential_electricity_hh_refinement, |
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cts_electricity_demand_share, |
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cts_heat_demand_share, |
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sanitycheck_emobility_mit, |
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etrago_eGon100RE_gas, |
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etrago_eGon2035_gas, |
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}, |
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) |
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def etrago_eGon2035_electricity(): |
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"""Execute basic sanity checks. |
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Returns print statements as sanity checks for the electricity sector in |
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the eGon2035 scenario. |
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Parameters |
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---------- |
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None |
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Returns |
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------- |
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None |
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""" |
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scn = "eGon2035" |
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# Section to check generator capacities |
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logger.info(f"Sanity checks for scenario {scn}") |
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logger.info( |
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"For German electricity generators the following deviations between " |
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"the inputs and outputs can be observed:" |
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) |
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carriers_electricity = [ |
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"others", |
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"reservoir", |
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"run_of_river", |
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"oil", |
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"wind_onshore", |
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"wind_offshore", |
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"solar", |
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"solar_rooftop", |
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"biomass", |
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] |
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for carrier in carriers_electricity: |
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if carrier == "biomass": |
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sum_output = db.select_dataframe( |
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"""SELECT scn_name, SUM(p_nom::numeric) as output_capacity_mw |
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FROM grid.egon_etrago_generator |
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WHERE bus IN ( |
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SELECT bus_id FROM grid.egon_etrago_bus |
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WHERE scn_name = 'eGon2035' |
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AND country = 'DE') |
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AND carrier IN ('biomass', 'industrial_biomass_CHP', |
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'central_biomass_CHP') |
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GROUP BY (scn_name); |
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""", |
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warning=False, |
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) |
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else: |
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sum_output = db.select_dataframe( |
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f"""SELECT scn_name, |
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SUM(p_nom::numeric) as output_capacity_mw |
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FROM grid.egon_etrago_generator |
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WHERE scn_name = '{scn}' |
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AND carrier IN ('{carrier}') |
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AND bus IN |
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(SELECT bus_id |
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FROM grid.egon_etrago_bus |
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WHERE scn_name = 'eGon2035' |
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AND country = 'DE') |
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GROUP BY (scn_name); |
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""", |
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warning=False, |
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) |
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sum_input = db.select_dataframe( |
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f"""SELECT carrier, SUM(capacity::numeric) as input_capacity_mw |
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FROM supply.egon_scenario_capacities |
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WHERE carrier= '{carrier}' |
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AND scenario_name ='{scn}' |
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GROUP BY (carrier); |
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""", |
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warning=False, |
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) |
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View Code Duplication |
if ( |
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sum_output.output_capacity_mw.sum() == 0 |
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and sum_input.input_capacity_mw.sum() == 0 |
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): |
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logger.info( |
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f"No capacity for carrier '{carrier}' needed to be" |
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f" distributed. Everything is fine" |
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) |
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elif ( |
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sum_input.input_capacity_mw.sum() > 0 |
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and sum_output.output_capacity_mw.sum() == 0 |
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): |
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logger.info( |
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f"Error: Capacity for carrier '{carrier}' was not distributed " |
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f"at all!" |
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) |
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elif ( |
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sum_output.output_capacity_mw.sum() > 0 |
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and sum_input.input_capacity_mw.sum() == 0 |
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): |
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logger.info( |
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f"Error: Eventhough no input capacity was provided for carrier" |
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f"'{carrier}' a capacity got distributed!" |
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) |
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else: |
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sum_input["error"] = ( |
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(sum_output.output_capacity_mw - sum_input.input_capacity_mw) |
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/ sum_input.input_capacity_mw |
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) * 100 |
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g = sum_input["error"].values[0] |
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logger.info(f"{carrier}: " + str(round(g, 2)) + " %") |
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# Section to check storage units |
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logger.info(f"Sanity checks for scenario {scn}") |
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logger.info( |
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"For German electrical storage units the following deviations between" |
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"the inputs and outputs can be observed:" |
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) |
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carriers_electricity = ["pumped_hydro"] |
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for carrier in carriers_electricity: |
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sum_output = db.select_dataframe( |
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f"""SELECT scn_name, SUM(p_nom::numeric) as output_capacity_mw |
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FROM grid.egon_etrago_storage |
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WHERE scn_name = '{scn}' |
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AND carrier IN ('{carrier}') |
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AND bus IN |
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(SELECT bus_id |
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FROM grid.egon_etrago_bus |
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WHERE scn_name = 'eGon2035' |
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AND country = 'DE') |
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GROUP BY (scn_name); |
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""", |
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warning=False, |
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) |
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226
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sum_input = db.select_dataframe( |
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f"""SELECT carrier, SUM(capacity::numeric) as input_capacity_mw |
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FROM supply.egon_scenario_capacities |
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WHERE carrier= '{carrier}' |
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AND scenario_name ='{scn}' |
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GROUP BY (carrier); |
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""", |
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warning=False, |
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) |
235
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View Code Duplication |
if ( |
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sum_output.output_capacity_mw.sum() == 0 |
238
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and sum_input.input_capacity_mw.sum() == 0 |
239
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): |
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print( |
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f"No capacity for carrier '{carrier}' needed to be " |
242
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f"distributed. Everything is fine" |
243
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) |
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245
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elif ( |
246
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sum_input.input_capacity_mw.sum() > 0 |
247
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and sum_output.output_capacity_mw.sum() == 0 |
248
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): |
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print( |
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f"Error: Capacity for carrier '{carrier}' was not distributed" |
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f" at all!" |
252
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) |
253
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254
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elif ( |
255
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sum_output.output_capacity_mw.sum() > 0 |
256
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and sum_input.input_capacity_mw.sum() == 0 |
257
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): |
258
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print( |
259
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f"Error: Eventhough no input capacity was provided for carrier" |
260
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f" '{carrier}' a capacity got distributed!" |
261
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) |
262
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263
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else: |
264
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sum_input["error"] = ( |
265
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(sum_output.output_capacity_mw - sum_input.input_capacity_mw) |
266
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/ sum_input.input_capacity_mw |
267
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) * 100 |
268
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g = sum_input["error"].values[0] |
269
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270
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print(f"{carrier}: " + str(round(g, 2)) + " %") |
271
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272
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# Section to check loads |
273
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|
274
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print( |
275
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"For German electricity loads the following deviations between the" |
276
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" input and output can be observed:" |
277
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) |
278
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|
279
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output_demand = db.select_dataframe( |
280
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"""SELECT a.scn_name, a.carrier, SUM((SELECT SUM(p) |
281
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FROM UNNEST(b.p_set) p))/1000000::numeric as load_twh |
282
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FROM grid.egon_etrago_load a |
283
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JOIN grid.egon_etrago_load_timeseries b |
284
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ON (a.load_id = b.load_id) |
285
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JOIN grid.egon_etrago_bus c |
286
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ON (a.bus=c.bus_id) |
287
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AND b.scn_name = 'eGon2035' |
288
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AND a.scn_name = 'eGon2035' |
289
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AND a.carrier = 'AC' |
290
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AND c.scn_name= 'eGon2035' |
291
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AND c.country='DE' |
292
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GROUP BY (a.scn_name, a.carrier); |
293
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|
294
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""", |
295
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warning=False, |
296
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)["load_twh"].values[0] |
297
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|
298
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input_cts_ind = db.select_dataframe( |
299
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"""SELECT scenario, |
300
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SUM(demand::numeric/1000000) as demand_mw_regio_cts_ind |
301
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FROM demand.egon_demandregio_cts_ind |
302
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WHERE scenario= 'eGon2035' |
303
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AND year IN ('2035') |
304
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GROUP BY (scenario); |
305
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|
|
|
306
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""", |
307
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warning=False, |
308
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)["demand_mw_regio_cts_ind"].values[0] |
309
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|
|
|
310
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input_hh = db.select_dataframe( |
311
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|
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"""SELECT scenario, SUM(demand::numeric/1000000) as demand_mw_regio_hh |
312
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FROM demand.egon_demandregio_hh |
313
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WHERE scenario= 'eGon2035' |
314
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AND year IN ('2035') |
315
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GROUP BY (scenario); |
316
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|
|
""", |
317
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warning=False, |
318
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|
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)["demand_mw_regio_hh"].values[0] |
319
|
|
|
|
320
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input_demand = input_hh + input_cts_ind |
321
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|
|
322
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e = round((output_demand - input_demand) / input_demand, 2) * 100 |
323
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|
|
324
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print(f"electricity demand: {e} %") |
325
|
|
|
|
326
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|
327
|
|
|
def etrago_eGon2035_heat(): |
328
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|
|
"""Execute basic sanity checks. |
329
|
|
|
|
330
|
|
|
Returns print statements as sanity checks for the heat sector in |
331
|
|
|
the eGon2035 scenario. |
332
|
|
|
|
333
|
|
|
Parameters |
334
|
|
|
---------- |
335
|
|
|
None |
336
|
|
|
|
337
|
|
|
Returns |
338
|
|
|
------- |
339
|
|
|
None |
340
|
|
|
""" |
341
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|
|
|
342
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|
|
# Check input and output values for the carriers "others", |
343
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|
|
# "reservoir", "run_of_river" and "oil" |
344
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|
|
|
345
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|
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scn = "eGon2035" |
346
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|
|
|
347
|
|
|
# Section to check generator capacities |
348
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|
|
print(f"Sanity checks for scenario {scn}") |
349
|
|
|
print( |
350
|
|
|
"For German heat demands the following deviations between the inputs" |
351
|
|
|
" and outputs can be observed:" |
352
|
|
|
) |
353
|
|
|
|
354
|
|
|
# Sanity checks for heat demand |
355
|
|
|
|
356
|
|
|
output_heat_demand = db.select_dataframe( |
357
|
|
|
"""SELECT a.scn_name, |
358
|
|
|
(SUM( |
359
|
|
|
(SELECT SUM(p) FROM UNNEST(b.p_set) p))/1000000)::numeric as load_twh |
360
|
|
|
FROM grid.egon_etrago_load a |
361
|
|
|
JOIN grid.egon_etrago_load_timeseries b |
362
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|
|
ON (a.load_id = b.load_id) |
363
|
|
|
JOIN grid.egon_etrago_bus c |
364
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|
|
ON (a.bus=c.bus_id) |
365
|
|
|
AND b.scn_name = 'eGon2035' |
366
|
|
|
AND a.scn_name = 'eGon2035' |
367
|
|
|
AND c.scn_name= 'eGon2035' |
368
|
|
|
AND c.country='DE' |
369
|
|
|
AND a.carrier IN ('rural_heat', 'central_heat') |
370
|
|
|
GROUP BY (a.scn_name); |
371
|
|
|
""", |
372
|
|
|
warning=False, |
373
|
|
|
)["load_twh"].values[0] |
374
|
|
|
|
375
|
|
|
input_heat_demand = db.select_dataframe( |
376
|
|
|
"""SELECT scenario, SUM(demand::numeric/1000000) as demand_mw_peta_heat |
377
|
|
|
FROM demand.egon_peta_heat |
378
|
|
|
WHERE scenario= 'eGon2035' |
379
|
|
|
GROUP BY (scenario); |
380
|
|
|
""", |
381
|
|
|
warning=False, |
382
|
|
|
)["demand_mw_peta_heat"].values[0] |
383
|
|
|
|
384
|
|
|
e_demand = ( |
385
|
|
|
round((output_heat_demand - input_heat_demand) / input_heat_demand, 2) |
386
|
|
|
* 100 |
387
|
|
|
) |
388
|
|
|
|
389
|
|
|
logger.info(f"heat demand: {e_demand} %") |
390
|
|
|
|
391
|
|
|
# Sanity checks for heat supply |
392
|
|
|
|
393
|
|
|
logger.info( |
394
|
|
|
"For German heat supplies the following deviations between the inputs " |
395
|
|
|
"and outputs can be observed:" |
396
|
|
|
) |
397
|
|
|
|
398
|
|
|
# Comparison for central heat pumps |
399
|
|
|
heat_pump_input = db.select_dataframe( |
400
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as Urban_central_heat_pump_mw |
401
|
|
|
FROM supply.egon_scenario_capacities |
402
|
|
|
WHERE carrier= 'urban_central_heat_pump' |
403
|
|
|
AND scenario_name IN ('eGon2035') |
404
|
|
|
GROUP BY (carrier); |
405
|
|
|
""", |
406
|
|
|
warning=False, |
407
|
|
|
)["urban_central_heat_pump_mw"].values[0] |
408
|
|
|
|
409
|
|
|
heat_pump_output = db.select_dataframe( |
410
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as Central_heat_pump_mw |
411
|
|
|
FROM grid.egon_etrago_link |
412
|
|
|
WHERE carrier= 'central_heat_pump' |
413
|
|
|
AND scn_name IN ('eGon2035') |
414
|
|
|
GROUP BY (carrier); |
415
|
|
|
""", |
416
|
|
|
warning=False, |
417
|
|
|
)["central_heat_pump_mw"].values[0] |
418
|
|
|
|
419
|
|
|
e_heat_pump = ( |
420
|
|
|
round((heat_pump_output - heat_pump_input) / heat_pump_output, 2) * 100 |
421
|
|
|
) |
422
|
|
|
|
423
|
|
|
logger.info(f"'central_heat_pump': {e_heat_pump} % ") |
424
|
|
|
|
425
|
|
|
# Comparison for residential heat pumps |
426
|
|
|
|
427
|
|
|
input_residential_heat_pump = db.select_dataframe( |
428
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as residential_heat_pump_mw |
429
|
|
|
FROM supply.egon_scenario_capacities |
430
|
|
|
WHERE carrier= 'residential_rural_heat_pump' |
431
|
|
|
AND scenario_name IN ('eGon2035') |
432
|
|
|
GROUP BY (carrier); |
433
|
|
|
""", |
434
|
|
|
warning=False, |
435
|
|
|
)["residential_heat_pump_mw"].values[0] |
436
|
|
|
|
437
|
|
|
output_residential_heat_pump = db.select_dataframe( |
438
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as rural_heat_pump_mw |
439
|
|
|
FROM grid.egon_etrago_link |
440
|
|
|
WHERE carrier= 'rural_heat_pump' |
441
|
|
|
AND scn_name IN ('eGon2035') |
442
|
|
|
GROUP BY (carrier); |
443
|
|
|
""", |
444
|
|
|
warning=False, |
445
|
|
|
)["rural_heat_pump_mw"].values[0] |
446
|
|
|
|
447
|
|
|
e_residential_heat_pump = ( |
448
|
|
|
round( |
449
|
|
|
(output_residential_heat_pump - input_residential_heat_pump) |
450
|
|
|
/ input_residential_heat_pump, |
451
|
|
|
2, |
452
|
|
|
) |
453
|
|
|
* 100 |
454
|
|
|
) |
455
|
|
|
logger.info(f"'residential heat pumps': {e_residential_heat_pump} %") |
456
|
|
|
|
457
|
|
|
# Comparison for resistive heater |
458
|
|
|
resistive_heater_input = db.select_dataframe( |
459
|
|
|
"""SELECT carrier, |
460
|
|
|
SUM(capacity::numeric) as Urban_central_resistive_heater_MW |
461
|
|
|
FROM supply.egon_scenario_capacities |
462
|
|
|
WHERE carrier= 'urban_central_resistive_heater' |
463
|
|
|
AND scenario_name IN ('eGon2035') |
464
|
|
|
GROUP BY (carrier); |
465
|
|
|
""", |
466
|
|
|
warning=False, |
467
|
|
|
)["urban_central_resistive_heater_mw"].values[0] |
468
|
|
|
|
469
|
|
|
resistive_heater_output = db.select_dataframe( |
470
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as central_resistive_heater_MW |
471
|
|
|
FROM grid.egon_etrago_link |
472
|
|
|
WHERE carrier= 'central_resistive_heater' |
473
|
|
|
AND scn_name IN ('eGon2035') |
474
|
|
|
GROUP BY (carrier); |
475
|
|
|
""", |
476
|
|
|
warning=False, |
477
|
|
|
)["central_resistive_heater_mw"].values[0] |
478
|
|
|
|
479
|
|
|
e_resistive_heater = ( |
480
|
|
|
round( |
481
|
|
|
(resistive_heater_output - resistive_heater_input) |
482
|
|
|
/ resistive_heater_input, |
483
|
|
|
2, |
484
|
|
|
) |
485
|
|
|
* 100 |
486
|
|
|
) |
487
|
|
|
|
488
|
|
|
logger.info(f"'resistive heater': {e_resistive_heater} %") |
489
|
|
|
|
490
|
|
|
# Comparison for solar thermal collectors |
491
|
|
|
|
492
|
|
|
input_solar_thermal = db.select_dataframe( |
493
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as solar_thermal_collector_mw |
494
|
|
|
FROM supply.egon_scenario_capacities |
495
|
|
|
WHERE carrier= 'urban_central_solar_thermal_collector' |
496
|
|
|
AND scenario_name IN ('eGon2035') |
497
|
|
|
GROUP BY (carrier); |
498
|
|
|
""", |
499
|
|
|
warning=False, |
500
|
|
|
)["solar_thermal_collector_mw"].values[0] |
501
|
|
|
|
502
|
|
|
output_solar_thermal = db.select_dataframe( |
503
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as solar_thermal_collector_mw |
504
|
|
|
FROM grid.egon_etrago_generator |
505
|
|
|
WHERE carrier= 'solar_thermal_collector' |
506
|
|
|
AND scn_name IN ('eGon2035') |
507
|
|
|
GROUP BY (carrier); |
508
|
|
|
""", |
509
|
|
|
warning=False, |
510
|
|
|
)["solar_thermal_collector_mw"].values[0] |
511
|
|
|
|
512
|
|
|
e_solar_thermal = ( |
513
|
|
|
round( |
514
|
|
|
(output_solar_thermal - input_solar_thermal) / input_solar_thermal, |
515
|
|
|
2, |
516
|
|
|
) |
517
|
|
|
* 100 |
518
|
|
|
) |
519
|
|
|
logger.info(f"'solar thermal collector': {e_solar_thermal} %") |
520
|
|
|
|
521
|
|
|
# Comparison for geothermal |
522
|
|
|
|
523
|
|
|
input_geo_thermal = db.select_dataframe( |
524
|
|
|
"""SELECT carrier, |
525
|
|
|
SUM(capacity::numeric) as Urban_central_geo_thermal_MW |
526
|
|
|
FROM supply.egon_scenario_capacities |
527
|
|
|
WHERE carrier= 'urban_central_geo_thermal' |
528
|
|
|
AND scenario_name IN ('eGon2035') |
529
|
|
|
GROUP BY (carrier); |
530
|
|
|
""", |
531
|
|
|
warning=False, |
532
|
|
|
)["urban_central_geo_thermal_mw"].values[0] |
533
|
|
|
|
534
|
|
|
output_geo_thermal = db.select_dataframe( |
535
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as geo_thermal_MW |
536
|
|
|
FROM grid.egon_etrago_generator |
537
|
|
|
WHERE carrier= 'geo_thermal' |
538
|
|
|
AND scn_name IN ('eGon2035') |
539
|
|
|
GROUP BY (carrier); |
540
|
|
|
""", |
541
|
|
|
warning=False, |
542
|
|
|
)["geo_thermal_mw"].values[0] |
543
|
|
|
|
544
|
|
|
e_geo_thermal = ( |
545
|
|
|
round((output_geo_thermal - input_geo_thermal) / input_geo_thermal, 2) |
546
|
|
|
* 100 |
547
|
|
|
) |
548
|
|
|
logger.info(f"'geothermal': {e_geo_thermal} %") |
549
|
|
|
|
550
|
|
|
|
551
|
|
|
def residential_electricity_annual_sum(rtol=1e-5): |
552
|
|
|
"""Sanity check for dataset electricity_demand_timeseries : |
553
|
|
|
Demand_Building_Assignment |
554
|
|
|
|
555
|
|
|
Aggregate the annual demand of all census cells at NUTS3 to compare |
556
|
|
|
with initial scaling parameters from DemandRegio. |
557
|
|
|
""" |
558
|
|
|
|
559
|
|
|
df_nuts3_annual_sum = db.select_dataframe( |
560
|
|
|
sql=""" |
561
|
|
|
SELECT dr.nuts3, dr.scenario, dr.demand_regio_sum, profiles.profile_sum |
562
|
|
|
FROM ( |
563
|
|
|
SELECT scenario, SUM(demand) AS profile_sum, vg250_nuts3 |
564
|
|
|
FROM demand.egon_demandregio_zensus_electricity AS egon, |
565
|
|
|
boundaries.egon_map_zensus_vg250 AS boundaries |
566
|
|
|
Where egon.zensus_population_id = boundaries.zensus_population_id |
567
|
|
|
AND sector = 'residential' |
568
|
|
|
GROUP BY vg250_nuts3, scenario |
569
|
|
|
) AS profiles |
570
|
|
|
JOIN ( |
571
|
|
|
SELECT nuts3, scenario, sum(demand) AS demand_regio_sum |
572
|
|
|
FROM demand.egon_demandregio_hh |
573
|
|
|
GROUP BY year, scenario, nuts3 |
574
|
|
|
) AS dr |
575
|
|
|
ON profiles.vg250_nuts3 = dr.nuts3 and profiles.scenario = dr.scenario |
576
|
|
|
""" |
577
|
|
|
) |
578
|
|
|
|
579
|
|
|
np.testing.assert_allclose( |
580
|
|
|
actual=df_nuts3_annual_sum["profile_sum"], |
581
|
|
|
desired=df_nuts3_annual_sum["demand_regio_sum"], |
582
|
|
|
rtol=rtol, |
583
|
|
|
verbose=False, |
584
|
|
|
) |
585
|
|
|
|
586
|
|
|
logger.info( |
587
|
|
|
"Aggregated annual residential electricity demand" |
588
|
|
|
" matches with DemandRegio at NUTS-3." |
589
|
|
|
) |
590
|
|
|
|
591
|
|
|
|
592
|
|
|
def residential_electricity_hh_refinement(rtol=1e-5): |
593
|
|
|
"""Sanity check for dataset electricity_demand_timeseries : |
594
|
|
|
Household Demands |
595
|
|
|
|
596
|
|
|
Check sum of aggregated household types after refinement method |
597
|
|
|
was applied and compare it to the original census values.""" |
598
|
|
|
|
599
|
|
|
df_refinement = db.select_dataframe( |
600
|
|
|
sql=""" |
601
|
|
|
SELECT refined.nuts3, refined.characteristics_code, |
602
|
|
|
refined.sum_refined::int, census.sum_census::int |
603
|
|
|
FROM( |
604
|
|
|
SELECT nuts3, characteristics_code, SUM(hh_10types) as sum_refined |
605
|
|
|
FROM society.egon_destatis_zensus_household_per_ha_refined |
606
|
|
|
GROUP BY nuts3, characteristics_code) |
607
|
|
|
AS refined |
608
|
|
|
JOIN( |
609
|
|
|
SELECT t.nuts3, t.characteristics_code, sum(orig) as sum_census |
610
|
|
|
FROM( |
611
|
|
|
SELECT nuts3, cell_id, characteristics_code, |
612
|
|
|
sum(DISTINCT(hh_5types))as orig |
613
|
|
|
FROM society.egon_destatis_zensus_household_per_ha_refined |
614
|
|
|
GROUP BY cell_id, characteristics_code, nuts3) AS t |
615
|
|
|
GROUP BY t.nuts3, t.characteristics_code ) AS census |
616
|
|
|
ON refined.nuts3 = census.nuts3 |
617
|
|
|
AND refined.characteristics_code = census.characteristics_code |
618
|
|
|
""" |
619
|
|
|
) |
620
|
|
|
|
621
|
|
|
np.testing.assert_allclose( |
622
|
|
|
actual=df_refinement["sum_refined"], |
623
|
|
|
desired=df_refinement["sum_census"], |
624
|
|
|
rtol=rtol, |
625
|
|
|
verbose=False, |
626
|
|
|
) |
627
|
|
|
|
628
|
|
|
logger.info("All Aggregated household types match at NUTS-3.") |
629
|
|
|
|
630
|
|
|
|
631
|
|
|
def cts_electricity_demand_share(rtol=1e-5): |
632
|
|
|
"""Sanity check for dataset electricity_demand_timeseries : |
633
|
|
|
CtsBuildings |
634
|
|
|
|
635
|
|
|
Check sum of aggregated cts electricity demand share which equals to one |
636
|
|
|
for every substation as the substation profile is linearly disaggregated |
637
|
|
|
to all buildings.""" |
638
|
|
|
|
639
|
|
|
with db.session_scope() as session: |
640
|
|
|
cells_query = session.query(EgonCtsElectricityDemandBuildingShare) |
641
|
|
|
|
642
|
|
|
df_demand_share = pd.read_sql( |
643
|
|
|
cells_query.statement, cells_query.session.bind, index_col=None |
644
|
|
|
) |
645
|
|
|
|
646
|
|
|
np.testing.assert_allclose( |
647
|
|
|
actual=df_demand_share.groupby(["bus_id", "scenario"])[ |
648
|
|
|
"profile_share" |
649
|
|
|
].sum(), |
650
|
|
|
desired=1, |
651
|
|
|
rtol=rtol, |
652
|
|
|
verbose=False, |
653
|
|
|
) |
654
|
|
|
|
655
|
|
|
logger.info("The aggregated demand shares equal to one!.") |
656
|
|
|
|
657
|
|
|
|
658
|
|
|
def cts_heat_demand_share(rtol=1e-5): |
659
|
|
|
"""Sanity check for dataset electricity_demand_timeseries |
660
|
|
|
: CtsBuildings |
661
|
|
|
|
662
|
|
|
Check sum of aggregated cts heat demand share which equals to one |
663
|
|
|
for every substation as the substation profile is linearly disaggregated |
664
|
|
|
to all buildings.""" |
665
|
|
|
|
666
|
|
|
with db.session_scope() as session: |
667
|
|
|
cells_query = session.query(EgonCtsHeatDemandBuildingShare) |
668
|
|
|
|
669
|
|
|
df_demand_share = pd.read_sql( |
670
|
|
|
cells_query.statement, cells_query.session.bind, index_col=None |
671
|
|
|
) |
672
|
|
|
|
673
|
|
|
np.testing.assert_allclose( |
674
|
|
|
actual=df_demand_share.groupby(["bus_id", "scenario"])[ |
675
|
|
|
"profile_share" |
676
|
|
|
].sum(), |
677
|
|
|
desired=1, |
678
|
|
|
rtol=rtol, |
679
|
|
|
verbose=False, |
680
|
|
|
) |
681
|
|
|
|
682
|
|
|
logger.info("The aggregated demand shares equal to one!.") |
683
|
|
|
|
684
|
|
|
|
685
|
|
|
def sanitycheck_emobility_mit(): |
686
|
|
|
"""Execute sanity checks for eMobility: motorized individual travel |
687
|
|
|
|
688
|
|
|
Checks data integrity for eGon2035, eGon2035_lowflex and eGon100RE scenario |
689
|
|
|
using assertions: |
690
|
|
|
1. Allocated EV numbers and EVs allocated to grid districts |
691
|
|
|
2. Trip data (original inout data from simBEV) |
692
|
|
|
3. Model data in eTraGo PF tables (grid.egon_etrago_*) |
693
|
|
|
|
694
|
|
|
Parameters |
695
|
|
|
---------- |
696
|
|
|
None |
697
|
|
|
|
698
|
|
|
Returns |
699
|
|
|
------- |
700
|
|
|
None |
701
|
|
|
""" |
702
|
|
|
|
703
|
|
|
def check_ev_allocation(): |
704
|
|
|
# Get target number for scenario |
705
|
|
|
ev_count_target = scenario_variation_parameters["ev_count"] |
706
|
|
|
print(f" Target count: {str(ev_count_target)}") |
707
|
|
|
|
708
|
|
|
# Get allocated numbers |
709
|
|
|
ev_counts_dict = {} |
710
|
|
|
with db.session_scope() as session: |
711
|
|
|
for table, level in zip( |
712
|
|
|
[ |
713
|
|
|
EgonEvCountMvGridDistrict, |
714
|
|
|
EgonEvCountMunicipality, |
715
|
|
|
EgonEvCountRegistrationDistrict, |
716
|
|
|
], |
717
|
|
|
["Grid District", "Municipality", "Registration District"], |
718
|
|
|
): |
719
|
|
|
query = session.query( |
720
|
|
|
func.sum( |
721
|
|
|
table.bev_mini |
722
|
|
|
+ table.bev_medium |
723
|
|
|
+ table.bev_luxury |
724
|
|
|
+ table.phev_mini |
725
|
|
|
+ table.phev_medium |
726
|
|
|
+ table.phev_luxury |
727
|
|
|
).label("ev_count") |
728
|
|
|
).filter( |
729
|
|
|
table.scenario == scenario_name, |
730
|
|
|
table.scenario_variation == scenario_var_name, |
731
|
|
|
) |
732
|
|
|
|
733
|
|
|
ev_counts = pd.read_sql( |
734
|
|
|
query.statement, query.session.bind, index_col=None |
735
|
|
|
) |
736
|
|
|
ev_counts_dict[level] = ev_counts.iloc[0].ev_count |
737
|
|
|
print( |
738
|
|
|
f" Count table: Total count for level {level} " |
739
|
|
|
f"(table: {table.__table__}): " |
740
|
|
|
f"{str(ev_counts_dict[level])}" |
741
|
|
|
) |
742
|
|
|
|
743
|
|
|
# Compare with scenario target (only if not in testmode) |
744
|
|
|
if TESTMODE_OFF: |
745
|
|
|
for level, count in ev_counts_dict.items(): |
746
|
|
|
np.testing.assert_allclose( |
747
|
|
|
count, |
748
|
|
|
ev_count_target, |
749
|
|
|
rtol=0.0001, |
750
|
|
|
err_msg=f"EV numbers in {level} seems to be flawed.", |
751
|
|
|
) |
752
|
|
|
else: |
753
|
|
|
print(" Testmode is on, skipping sanity check...") |
754
|
|
|
|
755
|
|
|
# Get allocated EVs in grid districts |
756
|
|
|
with db.session_scope() as session: |
757
|
|
|
query = session.query( |
758
|
|
|
func.count(EgonEvMvGridDistrict.egon_ev_pool_ev_id).label( |
759
|
|
|
"ev_count" |
760
|
|
|
), |
761
|
|
|
).filter( |
762
|
|
|
EgonEvMvGridDistrict.scenario == scenario_name, |
763
|
|
|
EgonEvMvGridDistrict.scenario_variation == scenario_var_name, |
764
|
|
|
) |
765
|
|
|
ev_count_alloc = ( |
766
|
|
|
pd.read_sql(query.statement, query.session.bind, index_col=None) |
767
|
|
|
.iloc[0] |
768
|
|
|
.ev_count |
769
|
|
|
) |
770
|
|
|
print( |
771
|
|
|
f" EVs allocated to Grid Districts " |
772
|
|
|
f"(table: {EgonEvMvGridDistrict.__table__}) total count: " |
773
|
|
|
f"{str(ev_count_alloc)}" |
774
|
|
|
) |
775
|
|
|
|
776
|
|
|
# Compare with scenario target (only if not in testmode) |
777
|
|
|
if TESTMODE_OFF: |
778
|
|
|
np.testing.assert_allclose( |
779
|
|
|
ev_count_alloc, |
780
|
|
|
ev_count_target, |
781
|
|
|
rtol=0.0001, |
782
|
|
|
err_msg=( |
783
|
|
|
"EV numbers allocated to Grid Districts seems to be " |
784
|
|
|
"flawed." |
785
|
|
|
), |
786
|
|
|
) |
787
|
|
|
else: |
788
|
|
|
print(" Testmode is on, skipping sanity check...") |
789
|
|
|
|
790
|
|
|
return ev_count_alloc |
791
|
|
|
|
792
|
|
|
def check_trip_data(): |
793
|
|
|
# Check if trips start at timestep 0 and have a max. of 35040 steps |
794
|
|
|
# (8760h in 15min steps) |
795
|
|
|
print(" Checking timeranges...") |
796
|
|
|
with db.session_scope() as session: |
797
|
|
|
query = session.query( |
798
|
|
|
func.count(EgonEvTrip.event_id).label("cnt") |
799
|
|
|
).filter( |
800
|
|
|
or_( |
801
|
|
|
and_( |
802
|
|
|
EgonEvTrip.park_start > 0, |
803
|
|
|
EgonEvTrip.simbev_event_id == 0, |
804
|
|
|
), |
805
|
|
|
EgonEvTrip.park_end |
806
|
|
|
> (60 / int(meta_run_config.stepsize)) * 8760, |
807
|
|
|
), |
808
|
|
|
EgonEvTrip.scenario == scenario_name, |
809
|
|
|
) |
810
|
|
|
invalid_trips = pd.read_sql( |
811
|
|
|
query.statement, query.session.bind, index_col=None |
812
|
|
|
) |
813
|
|
|
np.testing.assert_equal( |
814
|
|
|
invalid_trips.iloc[0].cnt, |
815
|
|
|
0, |
816
|
|
|
err_msg=( |
817
|
|
|
f"{str(invalid_trips.iloc[0].cnt)} trips in table " |
818
|
|
|
f"{EgonEvTrip.__table__} have invalid timesteps." |
819
|
|
|
), |
820
|
|
|
) |
821
|
|
|
|
822
|
|
|
# Check if charging demand can be covered by available charging energy |
823
|
|
|
# while parking |
824
|
|
|
print(" Compare charging demand with available power...") |
825
|
|
|
with db.session_scope() as session: |
826
|
|
|
query = session.query( |
827
|
|
|
func.count(EgonEvTrip.event_id).label("cnt") |
828
|
|
|
).filter( |
829
|
|
|
func.round( |
830
|
|
|
cast( |
831
|
|
|
(EgonEvTrip.park_end - EgonEvTrip.park_start + 1) |
832
|
|
|
* EgonEvTrip.charging_capacity_nominal |
833
|
|
|
* (int(meta_run_config.stepsize) / 60), |
834
|
|
|
Numeric, |
835
|
|
|
), |
836
|
|
|
3, |
837
|
|
|
) |
838
|
|
|
< cast(EgonEvTrip.charging_demand, Numeric), |
839
|
|
|
EgonEvTrip.scenario == scenario_name, |
840
|
|
|
) |
841
|
|
|
invalid_trips = pd.read_sql( |
842
|
|
|
query.statement, query.session.bind, index_col=None |
843
|
|
|
) |
844
|
|
|
np.testing.assert_equal( |
845
|
|
|
invalid_trips.iloc[0].cnt, |
846
|
|
|
0, |
847
|
|
|
err_msg=( |
848
|
|
|
f"In {str(invalid_trips.iloc[0].cnt)} trips (table: " |
849
|
|
|
f"{EgonEvTrip.__table__}) the charging demand cannot be " |
850
|
|
|
f"covered by available charging power." |
851
|
|
|
), |
852
|
|
|
) |
853
|
|
|
|
854
|
|
|
def check_model_data(): |
855
|
|
|
# Check if model components were fully created |
856
|
|
|
print(" Check if all model components were created...") |
857
|
|
|
# Get MVGDs which got EV allocated |
858
|
|
|
with db.session_scope() as session: |
859
|
|
|
query = ( |
860
|
|
|
session.query( |
861
|
|
|
EgonEvMvGridDistrict.bus_id, |
862
|
|
|
) |
863
|
|
|
.filter( |
864
|
|
|
EgonEvMvGridDistrict.scenario == scenario_name, |
865
|
|
|
EgonEvMvGridDistrict.scenario_variation |
866
|
|
|
== scenario_var_name, |
867
|
|
|
) |
868
|
|
|
.group_by(EgonEvMvGridDistrict.bus_id) |
869
|
|
|
) |
870
|
|
|
mvgds_with_ev = ( |
871
|
|
|
pd.read_sql(query.statement, query.session.bind, index_col=None) |
872
|
|
|
.bus_id.sort_values() |
873
|
|
|
.to_list() |
874
|
|
|
) |
875
|
|
|
|
876
|
|
|
# Load model components |
877
|
|
|
with db.session_scope() as session: |
878
|
|
|
query = ( |
879
|
|
|
session.query( |
880
|
|
|
EgonPfHvLink.bus0.label("mvgd_bus_id"), |
881
|
|
|
EgonPfHvLoad.bus.label("emob_bus_id"), |
882
|
|
|
EgonPfHvLoad.load_id.label("load_id"), |
883
|
|
|
EgonPfHvStore.store_id.label("store_id"), |
884
|
|
|
) |
885
|
|
|
.select_from(EgonPfHvLoad, EgonPfHvStore) |
886
|
|
|
.join( |
887
|
|
|
EgonPfHvLoadTimeseries, |
888
|
|
|
EgonPfHvLoadTimeseries.load_id == EgonPfHvLoad.load_id, |
889
|
|
|
) |
890
|
|
|
.join( |
891
|
|
|
EgonPfHvStoreTimeseries, |
892
|
|
|
EgonPfHvStoreTimeseries.store_id == EgonPfHvStore.store_id, |
893
|
|
|
) |
894
|
|
|
.filter( |
895
|
|
|
EgonPfHvLoad.carrier == "land transport EV", |
896
|
|
|
EgonPfHvLoad.scn_name == scenario_name, |
897
|
|
|
EgonPfHvLoadTimeseries.scn_name == scenario_name, |
898
|
|
|
EgonPfHvStore.carrier == "battery storage", |
899
|
|
|
EgonPfHvStore.scn_name == scenario_name, |
900
|
|
|
EgonPfHvStoreTimeseries.scn_name == scenario_name, |
901
|
|
|
EgonPfHvLink.scn_name == scenario_name, |
902
|
|
|
EgonPfHvLink.bus1 == EgonPfHvLoad.bus, |
903
|
|
|
EgonPfHvLink.bus1 == EgonPfHvStore.bus, |
904
|
|
|
) |
905
|
|
|
) |
906
|
|
|
model_components = pd.read_sql( |
907
|
|
|
query.statement, query.session.bind, index_col=None |
908
|
|
|
) |
909
|
|
|
|
910
|
|
|
# Check number of buses with model components connected |
911
|
|
|
mvgd_buses_with_ev = model_components.loc[ |
912
|
|
|
model_components.mvgd_bus_id.isin(mvgds_with_ev) |
913
|
|
|
] |
914
|
|
|
np.testing.assert_equal( |
915
|
|
|
len(mvgds_with_ev), |
916
|
|
|
len(mvgd_buses_with_ev), |
917
|
|
|
err_msg=( |
918
|
|
|
f"Number of Grid Districts with connected model components " |
919
|
|
|
f"({str(len(mvgd_buses_with_ev))} in tables egon_etrago_*) " |
920
|
|
|
f"differ from number of Grid Districts that got EVs " |
921
|
|
|
f"allocated ({len(mvgds_with_ev)} in table " |
922
|
|
|
f"{EgonEvMvGridDistrict.__table__})." |
923
|
|
|
), |
924
|
|
|
) |
925
|
|
|
|
926
|
|
|
# Check if all required components exist (if no id is NaN) |
927
|
|
|
np.testing.assert_equal( |
928
|
|
|
model_components.drop_duplicates().isna().any().any(), |
929
|
|
|
False, |
930
|
|
|
err_msg=( |
931
|
|
|
f"Some components are missing (see True values): " |
932
|
|
|
f"{model_components.drop_duplicates().isna().any()}" |
933
|
|
|
), |
934
|
|
|
) |
935
|
|
|
|
936
|
|
|
# Get all model timeseries |
937
|
|
|
print(" Loading model timeseries...") |
938
|
|
|
# Get all model timeseries |
939
|
|
|
model_ts_dict = { |
940
|
|
|
"Load": { |
941
|
|
|
"carrier": "land transport EV", |
942
|
|
|
"table": EgonPfHvLoad, |
943
|
|
|
"table_ts": EgonPfHvLoadTimeseries, |
944
|
|
|
"column_id": "load_id", |
945
|
|
|
"columns_ts": ["p_set"], |
946
|
|
|
"ts": None, |
947
|
|
|
}, |
948
|
|
|
"Link": { |
949
|
|
|
"carrier": "BEV charger", |
950
|
|
|
"table": EgonPfHvLink, |
951
|
|
|
"table_ts": EgonPfHvLinkTimeseries, |
952
|
|
|
"column_id": "link_id", |
953
|
|
|
"columns_ts": ["p_max_pu"], |
954
|
|
|
"ts": None, |
955
|
|
|
}, |
956
|
|
|
"Store": { |
957
|
|
|
"carrier": "battery storage", |
958
|
|
|
"table": EgonPfHvStore, |
959
|
|
|
"table_ts": EgonPfHvStoreTimeseries, |
960
|
|
|
"column_id": "store_id", |
961
|
|
|
"columns_ts": ["e_min_pu", "e_max_pu"], |
962
|
|
|
"ts": None, |
963
|
|
|
}, |
964
|
|
|
} |
965
|
|
|
|
966
|
|
|
with db.session_scope() as session: |
967
|
|
|
for node, attrs in model_ts_dict.items(): |
968
|
|
|
print(f" Loading {node} timeseries...") |
969
|
|
|
subquery = ( |
970
|
|
|
session.query(getattr(attrs["table"], attrs["column_id"])) |
971
|
|
|
.filter(attrs["table"].carrier == attrs["carrier"]) |
972
|
|
|
.filter(attrs["table"].scn_name == scenario_name) |
973
|
|
|
.subquery() |
974
|
|
|
) |
975
|
|
|
|
976
|
|
|
cols = [ |
977
|
|
|
getattr(attrs["table_ts"], c) for c in attrs["columns_ts"] |
978
|
|
|
] |
979
|
|
|
query = session.query( |
980
|
|
|
getattr(attrs["table_ts"], attrs["column_id"]), *cols |
981
|
|
|
).filter( |
982
|
|
|
getattr(attrs["table_ts"], attrs["column_id"]).in_( |
983
|
|
|
subquery |
984
|
|
|
), |
985
|
|
|
attrs["table_ts"].scn_name == scenario_name, |
986
|
|
|
) |
987
|
|
|
attrs["ts"] = pd.read_sql( |
988
|
|
|
query.statement, |
989
|
|
|
query.session.bind, |
990
|
|
|
index_col=attrs["column_id"], |
991
|
|
|
) |
992
|
|
|
|
993
|
|
|
# Check if all timeseries have 8760 steps |
994
|
|
|
print(" Checking timeranges...") |
995
|
|
|
for node, attrs in model_ts_dict.items(): |
996
|
|
|
for col in attrs["columns_ts"]: |
997
|
|
|
ts = attrs["ts"] |
998
|
|
|
invalid_ts = ts.loc[ts[col].apply(lambda _: len(_)) != 8760][ |
999
|
|
|
col |
1000
|
|
|
].apply(len) |
1001
|
|
|
np.testing.assert_equal( |
1002
|
|
|
len(invalid_ts), |
1003
|
|
|
0, |
1004
|
|
|
err_msg=( |
1005
|
|
|
f"{str(len(invalid_ts))} rows in timeseries do not " |
1006
|
|
|
f"have 8760 timesteps. Table: " |
1007
|
|
|
f"{attrs['table_ts'].__table__}, Column: {col}, IDs: " |
1008
|
|
|
f"{str(list(invalid_ts.index))}" |
1009
|
|
|
), |
1010
|
|
|
) |
1011
|
|
|
|
1012
|
|
|
# Compare total energy demand in model with some approximate values |
1013
|
|
|
# (per EV: 14,000 km/a, 0.17 kWh/km) |
1014
|
|
|
print(" Checking energy demand in model...") |
1015
|
|
|
total_energy_model = ( |
1016
|
|
|
model_ts_dict["Load"]["ts"].p_set.apply(lambda _: sum(_)).sum() |
1017
|
|
|
/ 1e6 |
1018
|
|
|
) |
1019
|
|
|
print(f" Total energy amount in model: {total_energy_model} TWh") |
1020
|
|
|
total_energy_scenario_approx = ev_count_alloc * 14000 * 0.17 / 1e9 |
1021
|
|
|
print( |
1022
|
|
|
f" Total approximated energy amount in scenario: " |
1023
|
|
|
f"{total_energy_scenario_approx} TWh" |
1024
|
|
|
) |
1025
|
|
|
np.testing.assert_allclose( |
1026
|
|
|
total_energy_model, |
1027
|
|
|
total_energy_scenario_approx, |
1028
|
|
|
rtol=0.1, |
1029
|
|
|
err_msg=( |
1030
|
|
|
"The total energy amount in the model deviates heavily " |
1031
|
|
|
"from the approximated value for current scenario." |
1032
|
|
|
), |
1033
|
|
|
) |
1034
|
|
|
|
1035
|
|
|
# Compare total storage capacity |
1036
|
|
|
print(" Checking storage capacity...") |
1037
|
|
|
# Load storage capacities from model |
1038
|
|
|
with db.session_scope() as session: |
1039
|
|
|
query = session.query( |
1040
|
|
|
func.sum(EgonPfHvStore.e_nom).label("e_nom") |
1041
|
|
|
).filter( |
1042
|
|
|
EgonPfHvStore.scn_name == scenario_name, |
1043
|
|
|
EgonPfHvStore.carrier == "battery storage", |
1044
|
|
|
) |
1045
|
|
|
storage_capacity_model = ( |
1046
|
|
|
pd.read_sql( |
1047
|
|
|
query.statement, query.session.bind, index_col=None |
1048
|
|
|
).e_nom.sum() |
1049
|
|
|
/ 1e3 |
1050
|
|
|
) |
1051
|
|
|
print( |
1052
|
|
|
f" Total storage capacity ({EgonPfHvStore.__table__}): " |
1053
|
|
|
f"{round(storage_capacity_model, 1)} GWh" |
1054
|
|
|
) |
1055
|
|
|
|
1056
|
|
|
# Load occurences of each EV |
1057
|
|
|
with db.session_scope() as session: |
1058
|
|
|
query = ( |
1059
|
|
|
session.query( |
1060
|
|
|
EgonEvMvGridDistrict.bus_id, |
1061
|
|
|
EgonEvPool.type, |
1062
|
|
|
func.count(EgonEvMvGridDistrict.egon_ev_pool_ev_id).label( |
1063
|
|
|
"count" |
1064
|
|
|
), |
1065
|
|
|
) |
1066
|
|
|
.join( |
1067
|
|
|
EgonEvPool, |
1068
|
|
|
EgonEvPool.ev_id |
1069
|
|
|
== EgonEvMvGridDistrict.egon_ev_pool_ev_id, |
1070
|
|
|
) |
1071
|
|
|
.filter( |
1072
|
|
|
EgonEvMvGridDistrict.scenario == scenario_name, |
1073
|
|
|
EgonEvMvGridDistrict.scenario_variation |
1074
|
|
|
== scenario_var_name, |
1075
|
|
|
EgonEvPool.scenario == scenario_name, |
1076
|
|
|
) |
1077
|
|
|
.group_by(EgonEvMvGridDistrict.bus_id, EgonEvPool.type) |
1078
|
|
|
) |
1079
|
|
|
count_per_ev_all = pd.read_sql( |
1080
|
|
|
query.statement, query.session.bind, index_col="bus_id" |
1081
|
|
|
) |
1082
|
|
|
count_per_ev_all["bat_cap"] = count_per_ev_all.type.map( |
1083
|
|
|
meta_tech_data.battery_capacity |
1084
|
|
|
) |
1085
|
|
|
count_per_ev_all["bat_cap_total_MWh"] = ( |
1086
|
|
|
count_per_ev_all["count"] * count_per_ev_all.bat_cap / 1e3 |
1087
|
|
|
) |
1088
|
|
|
storage_capacity_simbev = count_per_ev_all.bat_cap_total_MWh.div( |
1089
|
|
|
1e3 |
1090
|
|
|
).sum() |
1091
|
|
|
print( |
1092
|
|
|
f" Total storage capacity (simBEV): " |
1093
|
|
|
f"{round(storage_capacity_simbev, 1)} GWh" |
1094
|
|
|
) |
1095
|
|
|
|
1096
|
|
|
np.testing.assert_allclose( |
1097
|
|
|
storage_capacity_model, |
1098
|
|
|
storage_capacity_simbev, |
1099
|
|
|
rtol=0.01, |
1100
|
|
|
err_msg=( |
1101
|
|
|
"The total storage capacity in the model deviates heavily " |
1102
|
|
|
"from the input data provided by simBEV for current scenario." |
1103
|
|
|
), |
1104
|
|
|
) |
1105
|
|
|
|
1106
|
|
|
# Check SoC storage constraint: e_min_pu < e_max_pu for all timesteps |
1107
|
|
|
print(" Validating SoC constraints...") |
1108
|
|
|
stores_with_invalid_soc = [] |
1109
|
|
|
for idx, row in model_ts_dict["Store"]["ts"].iterrows(): |
1110
|
|
|
ts = row[["e_min_pu", "e_max_pu"]] |
1111
|
|
|
x = np.array(ts.e_min_pu) > np.array(ts.e_max_pu) |
1112
|
|
|
if x.any(): |
1113
|
|
|
stores_with_invalid_soc.append(idx) |
1114
|
|
|
|
1115
|
|
|
np.testing.assert_equal( |
1116
|
|
|
len(stores_with_invalid_soc), |
1117
|
|
|
0, |
1118
|
|
|
err_msg=( |
1119
|
|
|
f"The store constraint e_min_pu < e_max_pu does not apply " |
1120
|
|
|
f"for some storages in {EgonPfHvStoreTimeseries.__table__}. " |
1121
|
|
|
f"Invalid store_ids: {stores_with_invalid_soc}" |
1122
|
|
|
), |
1123
|
|
|
) |
1124
|
|
|
|
1125
|
|
|
def check_model_data_lowflex_eGon2035(): |
1126
|
|
|
# TODO: Add eGon100RE_lowflex |
1127
|
|
|
print("") |
1128
|
|
|
print("SCENARIO: eGon2035_lowflex") |
1129
|
|
|
|
1130
|
|
|
# Compare driving load and charging load |
1131
|
|
|
print(" Loading eGon2035 model timeseries: driving load...") |
1132
|
|
|
with db.session_scope() as session: |
1133
|
|
|
query = ( |
1134
|
|
|
session.query( |
1135
|
|
|
EgonPfHvLoad.load_id, |
1136
|
|
|
EgonPfHvLoadTimeseries.p_set, |
1137
|
|
|
) |
1138
|
|
|
.join( |
1139
|
|
|
EgonPfHvLoadTimeseries, |
1140
|
|
|
EgonPfHvLoadTimeseries.load_id == EgonPfHvLoad.load_id, |
1141
|
|
|
) |
1142
|
|
|
.filter( |
1143
|
|
|
EgonPfHvLoad.carrier == "land transport EV", |
1144
|
|
|
EgonPfHvLoad.scn_name == "eGon2035", |
1145
|
|
|
EgonPfHvLoadTimeseries.scn_name == "eGon2035", |
1146
|
|
|
) |
1147
|
|
|
) |
1148
|
|
|
model_driving_load = pd.read_sql( |
1149
|
|
|
query.statement, query.session.bind, index_col=None |
1150
|
|
|
) |
1151
|
|
|
driving_load = np.array(model_driving_load.p_set.to_list()).sum(axis=0) |
1152
|
|
|
|
1153
|
|
|
print( |
1154
|
|
|
" Loading eGon2035_lowflex model timeseries: dumb charging " |
1155
|
|
|
"load..." |
1156
|
|
|
) |
1157
|
|
|
with db.session_scope() as session: |
1158
|
|
|
query = ( |
1159
|
|
|
session.query( |
1160
|
|
|
EgonPfHvLoad.load_id, |
1161
|
|
|
EgonPfHvLoadTimeseries.p_set, |
1162
|
|
|
) |
1163
|
|
|
.join( |
1164
|
|
|
EgonPfHvLoadTimeseries, |
1165
|
|
|
EgonPfHvLoadTimeseries.load_id == EgonPfHvLoad.load_id, |
1166
|
|
|
) |
1167
|
|
|
.filter( |
1168
|
|
|
EgonPfHvLoad.carrier == "land transport EV", |
1169
|
|
|
EgonPfHvLoad.scn_name == "eGon2035_lowflex", |
1170
|
|
|
EgonPfHvLoadTimeseries.scn_name == "eGon2035_lowflex", |
1171
|
|
|
) |
1172
|
|
|
) |
1173
|
|
|
model_charging_load_lowflex = pd.read_sql( |
1174
|
|
|
query.statement, query.session.bind, index_col=None |
1175
|
|
|
) |
1176
|
|
|
charging_load = np.array( |
1177
|
|
|
model_charging_load_lowflex.p_set.to_list() |
1178
|
|
|
).sum(axis=0) |
1179
|
|
|
|
1180
|
|
|
# Ratio of driving and charging load should be 0.9 due to charging |
1181
|
|
|
# efficiency |
1182
|
|
|
print(" Compare cumulative loads...") |
1183
|
|
|
print(f" Driving load (eGon2035): {driving_load.sum() / 1e6} TWh") |
1184
|
|
|
print( |
1185
|
|
|
f" Dumb charging load (eGon2035_lowflex): " |
1186
|
|
|
f"{charging_load.sum() / 1e6} TWh" |
1187
|
|
|
) |
1188
|
|
|
driving_load_theoretical = ( |
1189
|
|
|
float(meta_run_config.eta_cp) * charging_load.sum() |
|
|
|
|
1190
|
|
|
) |
1191
|
|
|
np.testing.assert_allclose( |
1192
|
|
|
driving_load.sum(), |
1193
|
|
|
driving_load_theoretical, |
1194
|
|
|
rtol=0.01, |
1195
|
|
|
err_msg=( |
1196
|
|
|
f"The driving load (eGon2035) deviates by more than 1% " |
1197
|
|
|
f"from the theoretical driving load calculated from charging " |
1198
|
|
|
f"load (eGon2035_lowflex) with an efficiency of " |
1199
|
|
|
f"{float(meta_run_config.eta_cp)}." |
1200
|
|
|
), |
1201
|
|
|
) |
1202
|
|
|
|
1203
|
|
|
print("=====================================================") |
1204
|
|
|
print("=== SANITY CHECKS FOR MOTORIZED INDIVIDUAL TRAVEL ===") |
1205
|
|
|
print("=====================================================") |
1206
|
|
|
|
1207
|
|
|
for scenario_name in ["eGon2035", "eGon100RE"]: |
1208
|
|
|
scenario_var_name = DATASET_CFG["scenario"]["variation"][scenario_name] |
1209
|
|
|
|
1210
|
|
|
print("") |
1211
|
|
|
print(f"SCENARIO: {scenario_name}, VARIATION: {scenario_var_name}") |
1212
|
|
|
|
1213
|
|
|
# Load scenario params for scenario and scenario variation |
1214
|
|
|
scenario_variation_parameters = get_sector_parameters( |
1215
|
|
|
"mobility", scenario=scenario_name |
1216
|
|
|
)["motorized_individual_travel"][scenario_var_name] |
1217
|
|
|
|
1218
|
|
|
# Load simBEV run config and tech data |
1219
|
|
|
meta_run_config = read_simbev_metadata_file( |
1220
|
|
|
scenario_name, "config" |
1221
|
|
|
).loc["basic"] |
1222
|
|
|
meta_tech_data = read_simbev_metadata_file(scenario_name, "tech_data") |
1223
|
|
|
|
1224
|
|
|
print("") |
1225
|
|
|
print("Checking EV counts...") |
1226
|
|
|
ev_count_alloc = check_ev_allocation() |
1227
|
|
|
|
1228
|
|
|
print("") |
1229
|
|
|
print("Checking trip data...") |
1230
|
|
|
check_trip_data() |
1231
|
|
|
|
1232
|
|
|
print("") |
1233
|
|
|
print("Checking model data...") |
1234
|
|
|
check_model_data() |
1235
|
|
|
|
1236
|
|
|
print("") |
1237
|
|
|
check_model_data_lowflex_eGon2035() |
1238
|
|
|
|
1239
|
|
|
print("=====================================================") |
1240
|
|
|
|
1241
|
|
|
|
1242
|
|
|
def sanity_check_gas_buses(scn): |
1243
|
|
|
"""Execute sanity checks for the gas buses in Germany |
1244
|
|
|
|
1245
|
|
|
Returns print statements as sanity checks for the CH4 and |
1246
|
|
|
H2_grid grid buses in Germany. The deviation is calculated between |
1247
|
|
|
the number gas grid buses in the database and the original |
1248
|
|
|
Scigrid_gas number of gas buses. |
1249
|
|
|
|
1250
|
|
|
Parameters |
1251
|
|
|
---------- |
1252
|
|
|
scn_name : str |
1253
|
|
|
Name of the scenario |
1254
|
|
|
|
1255
|
|
|
""" |
1256
|
|
|
logger.info(f"BUSES") |
1257
|
|
|
|
1258
|
|
|
target_file = ( |
1259
|
|
|
Path(".") / "datasets" / "gas_data" / "data" / "IGGIELGN_Nodes.csv" |
1260
|
|
|
) |
1261
|
|
|
|
1262
|
|
|
Grid_buses_list = pd.read_csv( |
1263
|
|
|
target_file, |
1264
|
|
|
delimiter=";", |
1265
|
|
|
decimal=".", |
1266
|
|
|
usecols=["country_code"], |
1267
|
|
|
) |
1268
|
|
|
|
1269
|
|
|
Grid_buses_list = Grid_buses_list[ |
1270
|
|
|
Grid_buses_list["country_code"].str.match("DE") |
1271
|
|
|
] |
1272
|
|
|
input_grid_buses = len(Grid_buses_list.index) |
1273
|
|
|
|
1274
|
|
|
for carrier in ["CH4", "H2_grid"]: |
1275
|
|
|
|
1276
|
|
|
output_grid_buses_df = db.select_dataframe( |
1277
|
|
|
f""" |
1278
|
|
|
SELECT bus_id |
1279
|
|
|
FROM grid.egon_etrago_bus |
1280
|
|
|
WHERE scn_name = '{scn}' |
1281
|
|
|
AND country = 'DE' |
1282
|
|
|
AND carrier = '{carrier}'; |
1283
|
|
|
""", |
1284
|
|
|
warning=False, |
1285
|
|
|
) |
1286
|
|
|
output_grid_buses = len(output_grid_buses_df.index) |
1287
|
|
|
|
1288
|
|
|
e_grid_buses = ( |
1289
|
|
|
round( |
1290
|
|
|
(output_grid_buses - input_grid_buses) / input_grid_buses, |
1291
|
|
|
2, |
1292
|
|
|
) |
1293
|
|
|
* 100 |
1294
|
|
|
) |
1295
|
|
|
logger.info(f"Deviation {carrier} buses: {e_grid_buses} %") |
1296
|
|
|
|
1297
|
|
|
|
1298
|
|
|
def sanity_check_CH4_stores(scn): |
1299
|
|
|
"""Execute sanity checks for the CH4 stores in Germany |
1300
|
|
|
|
1301
|
|
|
Returns print statements as sanity checks for the CH4 stores |
1302
|
|
|
capacity in Germany. The deviation is calculated between: |
1303
|
|
|
* the sum of the capacities of the stores with carrier 'CH4' |
1304
|
|
|
in the database (for one scenario) and |
1305
|
|
|
* the sum of: |
1306
|
|
|
* the capacity the gas grid allocated to CH4 (total capacity |
1307
|
|
|
in eGon2035 and capacity reduced the share of the grid |
1308
|
|
|
allocated to H2 in eGon100RE) and |
1309
|
|
|
* the sum of the capacities of the stores in the source |
1310
|
|
|
document (Storages from the SciGRID_gas data) |
1311
|
|
|
|
1312
|
|
|
Parameters |
1313
|
|
|
---------- |
1314
|
|
|
scn_name : str |
1315
|
|
|
Name of the scenario |
1316
|
|
|
|
1317
|
|
|
""" |
1318
|
|
|
output_CH4_stores = db.select_dataframe( |
1319
|
|
|
f"""SELECT SUM(e_nom::numeric) as e_nom_germany |
1320
|
|
|
FROM grid.egon_etrago_store |
1321
|
|
|
WHERE scn_name = '{scn}' |
1322
|
|
|
AND carrier = 'CH4' |
1323
|
|
|
AND bus IN |
1324
|
|
|
(SELECT bus_id |
1325
|
|
|
FROM grid.egon_etrago_bus |
1326
|
|
|
WHERE scn_name = '{scn}' |
1327
|
|
|
AND country = 'DE' |
1328
|
|
|
AND carrier = 'CH4'); |
1329
|
|
|
""", |
1330
|
|
|
warning=False, |
1331
|
|
|
)["e_nom_germany"].values[0] |
1332
|
|
|
|
1333
|
|
|
target_file = ( |
1334
|
|
|
Path(".") / "datasets" / "gas_data" / "data" / "IGGIELGN_Storages.csv" |
1335
|
|
|
) |
1336
|
|
|
|
1337
|
|
|
CH4_storages_list = pd.read_csv( |
1338
|
|
|
target_file, |
1339
|
|
|
delimiter=";", |
1340
|
|
|
decimal=".", |
1341
|
|
|
usecols=["country_code", "param"], |
1342
|
|
|
) |
1343
|
|
|
|
1344
|
|
|
CH4_storages_list = CH4_storages_list[ |
1345
|
|
|
CH4_storages_list["country_code"].str.match("DE") |
1346
|
|
|
] |
1347
|
|
|
|
1348
|
|
|
max_workingGas_M_m3 = [] |
1349
|
|
|
end_year = [] |
1350
|
|
|
for index, row in CH4_storages_list.iterrows(): |
1351
|
|
|
param = ast.literal_eval(row["param"]) |
1352
|
|
|
end_year.append(param["end_year"]) |
1353
|
|
|
max_workingGas_M_m3.append(param["max_workingGas_M_m3"]) |
1354
|
|
|
CH4_storages_list["max_workingGas_M_m3"] = max_workingGas_M_m3 |
1355
|
|
|
CH4_storages_list["end_year"] = [ |
1356
|
|
|
float("inf") if x == None else x for x in end_year |
1357
|
|
|
] |
1358
|
|
|
|
1359
|
|
|
# Remove unused storage units |
1360
|
|
|
CH4_storages_list = CH4_storages_list[ |
1361
|
|
|
CH4_storages_list["end_year"] |
1362
|
|
|
>= get_sector_parameters("global", scn)["population_year"] |
1363
|
|
|
] |
1364
|
|
|
|
1365
|
|
|
if scn == "eGon2035": |
1366
|
|
|
grid_cap = 130000 |
1367
|
|
|
elif scn == "eGon100RE": |
1368
|
|
|
grid_cap = 13000 * ( |
1369
|
|
|
1 |
1370
|
|
|
- get_sector_parameters("gas", "eGon100RE")[ |
1371
|
|
|
"retrofitted_CH4pipeline-to-H2pipeline_share" |
1372
|
|
|
] |
1373
|
|
|
) |
1374
|
|
|
conv_factor = 10830 # gross calorific value = 39 MJ/m3 (eurogas.org) |
1375
|
|
|
input_CH4_stores = ( |
1376
|
|
|
conv_factor * sum(CH4_storages_list["max_workingGas_M_m3"].to_list()) |
1377
|
|
|
+ grid_cap |
|
|
|
|
1378
|
|
|
) |
1379
|
|
|
|
1380
|
|
|
e_CH4_stores = ( |
1381
|
|
|
round( |
1382
|
|
|
(output_CH4_stores - input_CH4_stores) / input_CH4_stores, |
1383
|
|
|
2, |
1384
|
|
|
) |
1385
|
|
|
* 100 |
1386
|
|
|
) |
1387
|
|
|
logger.info(f"Deviation CH4 stores: {e_CH4_stores} %") |
1388
|
|
|
|
1389
|
|
|
|
1390
|
|
|
def sanity_check_H2_saltcavern_stores(scn): |
1391
|
|
|
"""Execute sanity checks for the H2 saltcavern stores in Germany |
1392
|
|
|
|
1393
|
|
|
Returns print as sanity checks for the H2 saltcavern potential |
1394
|
|
|
storage capacity in Germany. The deviation is calculated between: |
1395
|
|
|
* the sum of the of the H2 saltcavern potential storage capacity |
1396
|
|
|
(e_nom_max) in the database and |
1397
|
|
|
* the sum of the H2 saltcavern potential storage capacity |
1398
|
|
|
assumed to be the ratio of the areas of 500 m radius around |
1399
|
|
|
substations in each german federal state and the estimated |
1400
|
|
|
total hydrogen storage potential of the corresponding federal |
1401
|
|
|
state (data from InSpEE-DS report). |
1402
|
|
|
|
1403
|
|
|
This test works also in test mode. |
1404
|
|
|
|
1405
|
|
|
Parameters |
1406
|
|
|
---------- |
1407
|
|
|
scn_name : str |
1408
|
|
|
Name of the scenario |
1409
|
|
|
|
1410
|
|
|
""" |
1411
|
|
|
output_H2_stores = db.select_dataframe( |
1412
|
|
|
f"""SELECT SUM(e_nom_max::numeric) as e_nom_max_germany |
1413
|
|
|
FROM grid.egon_etrago_store |
1414
|
|
|
WHERE scn_name = '{scn}' |
1415
|
|
|
AND carrier = 'H2_underground' |
1416
|
|
|
AND bus IN |
1417
|
|
|
(SELECT bus_id |
1418
|
|
|
FROM grid.egon_etrago_bus |
1419
|
|
|
WHERE scn_name = '{scn}' |
1420
|
|
|
AND country = 'DE' |
1421
|
|
|
AND carrier = 'H2_saltcavern'); |
1422
|
|
|
""", |
1423
|
|
|
warning=False, |
1424
|
|
|
)["e_nom_max_germany"].values[0] |
1425
|
|
|
|
1426
|
|
|
storage_potentials = calculate_and_map_saltcavern_storage_potential() |
1427
|
|
|
storage_potentials["storage_potential"] = ( |
1428
|
|
|
storage_potentials["area_fraction"] * storage_potentials["potential"] |
1429
|
|
|
) |
1430
|
|
|
input_H2_stores = sum(storage_potentials["storage_potential"].to_list()) |
1431
|
|
|
|
1432
|
|
|
e_H2_stores = ( |
1433
|
|
|
round( |
1434
|
|
|
(output_H2_stores - input_H2_stores) / input_H2_stores, |
1435
|
|
|
2, |
1436
|
|
|
) |
1437
|
|
|
* 100 |
1438
|
|
|
) |
1439
|
|
|
logger.info(f"Deviation H2 saltcavern stores: {e_H2_stores} %") |
1440
|
|
|
|
1441
|
|
|
|
1442
|
|
|
def sanity_check_CH4_grid(scn): |
1443
|
|
|
"""Execute sanity checks for the gas grid capacity in Germany |
1444
|
|
|
|
1445
|
|
|
Returns print statements as sanity checks for the CH4 links |
1446
|
|
|
(pipelines) in Germany. The deviation is calculated between |
1447
|
|
|
the sum of the power (p_nom) of all the CH4 pipelines in Germany |
1448
|
|
|
for one scenario in the database and the sum of the powers of the |
1449
|
|
|
imported pipelines. |
1450
|
|
|
In eGon100RE, the sum is reduced by the share of the grid that is |
1451
|
|
|
allocated to hydrogen (share calculated by PyPSA-eur-sec). |
1452
|
|
|
|
1453
|
|
|
This test works also in test mode. |
1454
|
|
|
|
1455
|
|
|
Parameters |
1456
|
|
|
---------- |
1457
|
|
|
scn_name : str |
1458
|
|
|
Name of the scenario |
1459
|
|
|
|
1460
|
|
|
Returns |
1461
|
|
|
------- |
1462
|
|
|
scn_name : float |
1463
|
|
|
Sum of the power (p_nom) of all the pipelines in Germany |
1464
|
|
|
|
1465
|
|
|
""" |
1466
|
|
|
grid_carrier = "CH4" |
1467
|
|
|
output_gas_grid = db.select_dataframe( |
1468
|
|
|
f"""SELECT SUM(p_nom::numeric) as p_nom_germany |
1469
|
|
|
FROM grid.egon_etrago_link |
1470
|
|
|
WHERE scn_name = '{scn}' |
1471
|
|
|
AND carrier = '{grid_carrier}' |
1472
|
|
|
AND bus0 IN |
1473
|
|
|
(SELECT bus_id |
1474
|
|
|
FROM grid.egon_etrago_bus |
1475
|
|
|
WHERE scn_name = '{scn}' |
1476
|
|
|
AND country = 'DE' |
1477
|
|
|
AND carrier = '{grid_carrier}') |
1478
|
|
|
AND bus1 IN |
1479
|
|
|
(SELECT bus_id |
1480
|
|
|
FROM grid.egon_etrago_bus |
1481
|
|
|
WHERE scn_name = '{scn}' |
1482
|
|
|
AND country = 'DE' |
1483
|
|
|
AND carrier = '{grid_carrier}') |
1484
|
|
|
; |
1485
|
|
|
""", |
1486
|
|
|
warning=False, |
1487
|
|
|
)["p_nom_germany"].values[0] |
1488
|
|
|
|
1489
|
|
|
gas_nodes_list = define_gas_nodes_list() |
1490
|
|
|
abroad_gas_nodes_list = insert_gas_buses_abroad() |
1491
|
|
|
gas_grid = define_gas_pipeline_list(gas_nodes_list, abroad_gas_nodes_list) |
1492
|
|
|
gas_grid_germany = gas_grid[ |
1493
|
|
|
(gas_grid["country_0"] == "DE") & (gas_grid["country_1"] == "DE") |
1494
|
|
|
] |
1495
|
|
|
p_nom_total = sum(gas_grid_germany["p_nom"].to_list()) |
1496
|
|
|
|
1497
|
|
|
if scn == "eGon2035": |
1498
|
|
|
input_gas_grid = p_nom_total |
1499
|
|
|
if scn == "eGon100RE": |
1500
|
|
|
input_gas_grid = p_nom_total * ( |
1501
|
|
|
1 |
1502
|
|
|
- get_sector_parameters("gas", "eGon100RE")[ |
1503
|
|
|
"retrofitted_CH4pipeline-to-H2pipeline_share" |
1504
|
|
|
] |
1505
|
|
|
) |
1506
|
|
|
|
1507
|
|
|
e_gas_grid = ( |
1508
|
|
|
round( |
1509
|
|
|
(output_gas_grid - input_gas_grid) / input_gas_grid, |
|
|
|
|
1510
|
|
|
2, |
1511
|
|
|
) |
1512
|
|
|
* 100 |
1513
|
|
|
) |
1514
|
|
|
logger.info(f"Deviation of the capacity of the CH4 grid: {e_gas_grid} %") |
1515
|
|
|
|
1516
|
|
|
return p_nom_total |
1517
|
|
|
|
1518
|
|
|
|
1519
|
|
|
def etrago_eGon2035_gas(): |
1520
|
|
|
"""Execute basic sanity checks for the gas sector in eGon2035 |
1521
|
|
|
|
1522
|
|
|
Returns print statements as sanity checks for the gas sector in |
1523
|
|
|
the eGon2035 scenario for the following components in Germany: |
1524
|
|
|
* Buses: with the function :py:func:`sanity_check_gas_buses` |
1525
|
|
|
* Loads: for the carriers 'CH4_for_industry' and 'H2_for_industry' |
1526
|
|
|
the deviation is calculated between the sum of the loads in the |
1527
|
|
|
database and the sum the loads in the sources document |
1528
|
|
|
(opendata.ffe database) |
1529
|
|
|
* Generators: the deviation is calculated between the sums of the |
1530
|
|
|
nominal powers of the gas generators in the database and of |
1531
|
|
|
the ones in the sources document (Biogaspartner Einspeiseatlas |
1532
|
|
|
Deutschland from the dena and Productions from the SciGRID_gas |
1533
|
|
|
data) |
1534
|
|
|
* Stores: deviations for stores with following carriers are |
1535
|
|
|
calculated: |
1536
|
|
|
* 'CH4': with the function :py:func:`sanity_check_CH4_stores` |
1537
|
|
|
* 'H2_underground': with the function :py:func:`sanity_check_H2_saltcavern_stores` |
1538
|
|
|
* Links: with the function :py:func:`sanity_check_CH4_grid` |
1539
|
|
|
|
1540
|
|
|
""" |
1541
|
|
|
scn = "eGon2035" |
1542
|
|
|
|
1543
|
|
|
if TESTMODE_OFF: |
1544
|
|
|
logger.info(f"Gas sanity checks for scenario {scn}") |
1545
|
|
|
|
1546
|
|
|
# Buses |
1547
|
|
|
sanity_check_gas_buses(scn) |
1548
|
|
|
|
1549
|
|
|
# Loads |
1550
|
|
|
logger.info(f"LOADS") |
1551
|
|
|
|
1552
|
|
|
path = Path(".") / "datasets" / "gas_data" / "demand" |
1553
|
|
|
corr_file = path / "region_corr.json" |
1554
|
|
|
df_corr = pd.read_json(corr_file) |
1555
|
|
|
df_corr = df_corr.loc[:, ["id_region", "name_short"]] |
1556
|
|
|
df_corr.set_index("id_region", inplace=True) |
1557
|
|
|
|
1558
|
|
|
for carrier in ["CH4_for_industry", "H2_for_industry"]: |
1559
|
|
|
|
1560
|
|
|
output_gas_demand = db.select_dataframe( |
1561
|
|
|
f"""SELECT (SUM( |
1562
|
|
|
(SELECT SUM(p) |
1563
|
|
|
FROM UNNEST(b.p_set) p))/1000000)::numeric as load_twh |
1564
|
|
|
FROM grid.egon_etrago_load a |
1565
|
|
|
JOIN grid.egon_etrago_load_timeseries b |
1566
|
|
|
ON (a.load_id = b.load_id) |
1567
|
|
|
JOIN grid.egon_etrago_bus c |
1568
|
|
|
ON (a.bus=c.bus_id) |
1569
|
|
|
AND b.scn_name = '{scn}' |
1570
|
|
|
AND a.scn_name = '{scn}' |
1571
|
|
|
AND c.scn_name = '{scn}' |
1572
|
|
|
AND c.country = 'DE' |
1573
|
|
|
AND a.carrier = '{carrier}'; |
1574
|
|
|
""", |
1575
|
|
|
warning=False, |
1576
|
|
|
)["load_twh"].values[0] |
1577
|
|
|
|
1578
|
|
|
input_gas_demand = pd.read_json( |
1579
|
|
|
path / (carrier + "_eGon2035.json") |
1580
|
|
|
) |
1581
|
|
|
input_gas_demand = input_gas_demand.loc[:, ["id_region", "value"]] |
1582
|
|
|
input_gas_demand.set_index("id_region", inplace=True) |
1583
|
|
|
input_gas_demand = pd.concat( |
1584
|
|
|
[input_gas_demand, df_corr], axis=1, join="inner" |
1585
|
|
|
) |
1586
|
|
|
input_gas_demand["NUTS0"] = (input_gas_demand["name_short"].str)[ |
1587
|
|
|
0:2 |
1588
|
|
|
] |
1589
|
|
|
input_gas_demand = input_gas_demand[ |
1590
|
|
|
input_gas_demand["NUTS0"].str.match("DE") |
1591
|
|
|
] |
1592
|
|
|
input_gas_demand = sum(input_gas_demand.value.to_list()) / 1000000 |
1593
|
|
|
|
1594
|
|
|
e_demand = ( |
1595
|
|
|
round( |
1596
|
|
|
(output_gas_demand - input_gas_demand) / input_gas_demand, |
1597
|
|
|
2, |
1598
|
|
|
) |
1599
|
|
|
* 100 |
1600
|
|
|
) |
1601
|
|
|
logger.info(f"Deviation {carrier}: {e_demand} %") |
1602
|
|
|
|
1603
|
|
|
# Generators |
1604
|
|
|
logger.info(f"GENERATORS") |
1605
|
|
|
carrier_generator = "CH4" |
1606
|
|
|
|
1607
|
|
|
output_gas_generation = db.select_dataframe( |
1608
|
|
|
f"""SELECT SUM(p_nom::numeric) as p_nom_germany |
1609
|
|
|
FROM grid.egon_etrago_generator |
1610
|
|
|
WHERE scn_name = '{scn}' |
1611
|
|
|
AND carrier = '{carrier_generator}' |
1612
|
|
|
AND bus IN |
1613
|
|
|
(SELECT bus_id |
1614
|
|
|
FROM grid.egon_etrago_bus |
1615
|
|
|
WHERE scn_name = '{scn}' |
1616
|
|
|
AND country = 'DE' |
1617
|
|
|
AND carrier = '{carrier_generator}'); |
1618
|
|
|
""", |
1619
|
|
|
warning=False, |
1620
|
|
|
)["p_nom_germany"].values[0] |
1621
|
|
|
|
1622
|
|
|
target_file = ( |
1623
|
|
|
Path(".") |
1624
|
|
|
/ "datasets" |
1625
|
|
|
/ "gas_data" |
1626
|
|
|
/ "data" |
1627
|
|
|
/ "IGGIELGN_Productions.csv" |
1628
|
|
|
) |
1629
|
|
|
|
1630
|
|
|
NG_generators_list = pd.read_csv( |
1631
|
|
|
target_file, |
1632
|
|
|
delimiter=";", |
1633
|
|
|
decimal=".", |
1634
|
|
|
usecols=["country_code", "param"], |
1635
|
|
|
) |
1636
|
|
|
|
1637
|
|
|
NG_generators_list = NG_generators_list[ |
1638
|
|
|
NG_generators_list["country_code"].str.match("DE") |
1639
|
|
|
] |
1640
|
|
|
|
1641
|
|
|
p_NG = 0 |
1642
|
|
|
for index, row in NG_generators_list.iterrows(): |
1643
|
|
|
param = ast.literal_eval(row["param"]) |
1644
|
|
|
p_NG = p_NG + param["max_supply_M_m3_per_d"] |
1645
|
|
|
conversion_factor = 437.5 # MCM/day to MWh/h |
1646
|
|
|
p_NG = p_NG * conversion_factor |
1647
|
|
|
|
1648
|
|
|
basename = "Biogaspartner_Einspeiseatlas_Deutschland_2021.xlsx" |
1649
|
|
|
target_file = Path(".") / "datasets" / "gas_data" / basename |
1650
|
|
|
|
1651
|
|
|
conversion_factor_b = 0.01083 # m^3/h to MWh/h |
1652
|
|
|
p_biogas = ( |
1653
|
|
|
pd.read_excel( |
1654
|
|
|
target_file, |
1655
|
|
|
usecols=["Einspeisung Biomethan [(N*m^3)/h)]"], |
1656
|
|
|
)["Einspeisung Biomethan [(N*m^3)/h)]"].sum() |
1657
|
|
|
* conversion_factor_b |
1658
|
|
|
) |
1659
|
|
|
|
1660
|
|
|
input_gas_generation = p_NG + p_biogas |
1661
|
|
|
e_generation = ( |
1662
|
|
|
round( |
1663
|
|
|
(output_gas_generation - input_gas_generation) |
1664
|
|
|
/ input_gas_generation, |
1665
|
|
|
2, |
1666
|
|
|
) |
1667
|
|
|
* 100 |
1668
|
|
|
) |
1669
|
|
|
logger.info( |
1670
|
|
|
f"Deviation {carrier_generator} generation: {e_generation} %" |
1671
|
|
|
) |
1672
|
|
|
|
1673
|
|
|
# Stores |
1674
|
|
|
logger.info(f"STORES") |
1675
|
|
|
sanity_check_CH4_stores(scn) |
1676
|
|
|
sanity_check_H2_saltcavern_stores(scn) |
1677
|
|
|
|
1678
|
|
|
# Links |
1679
|
|
|
logger.info(f"LINKS") |
1680
|
|
|
sanity_check_CH4_grid(scn) |
1681
|
|
|
|
1682
|
|
|
else: |
1683
|
|
|
print("Testmode is on, skipping sanity check.") |
1684
|
|
|
|
1685
|
|
|
|
1686
|
|
|
def etrago_eGon100RE_gas(): |
1687
|
|
|
"""Execute basic sanity checks for the gas sector in eGon100RE |
1688
|
|
|
|
1689
|
|
|
Returns print statements as sanity checks for the gas sector in |
1690
|
|
|
the eGon100RE scenario for the following components in Germany: |
1691
|
|
|
* Buses: with the function :py:func:`sanity_check_gas_buses` |
1692
|
|
|
* Loads: for the carriers 'CH4_for_industry' and 'H2_for_industry' |
1693
|
|
|
the deviation is calculated between the sum of the loads in the |
1694
|
|
|
database and the value calculated by PyPSA-eur-sec for Germany |
1695
|
|
|
(that as been spatial distributed) |
1696
|
|
|
* Generators: the deviation is calculated between the sums of the |
1697
|
|
|
nominal powers of the biogas generators in the database and of |
1698
|
|
|
the ones in the source document (Biogaspartner Einspeiseatlas |
1699
|
|
|
Deutschland from the dena) |
1700
|
|
|
* Stores: deviations for stores with following carriers are |
1701
|
|
|
calculated: |
1702
|
|
|
* 'CH4': with the function :py:func:`sanity_check_CH4_stores` |
1703
|
|
|
* 'H2_underground': with the function :py:func:`sanity_check_H2_saltcavern_stores` |
1704
|
|
|
* 'H2': the deviation is calculated between the store |
1705
|
|
|
capacity the gas grid allocated to H2 (total capacity |
1706
|
|
|
multiplied by the share of the grid associated to H2) and |
1707
|
|
|
the sum of the capacities of the storages with carrier 'H2' |
1708
|
|
|
in the database. |
1709
|
|
|
* Links: only the gas transport links do have sanity checks. The |
1710
|
|
|
CH4 pipelines with the function :py:func:`sanity_check_CH4_grid`. |
1711
|
|
|
For the H2 pipelines, the deviation is calculated between the |
1712
|
|
|
sum of the power (p_nom) of all the H2 pipelines in Germany in |
1713
|
|
|
the database and the sum of the powers of the imported pipelines. |
1714
|
|
|
multiplied by the share of the grid allocated to hydrogen |
1715
|
|
|
(share calculated by PyPSA-eur-sec). (This test works also in |
1716
|
|
|
test mode.) |
1717
|
|
|
|
1718
|
|
|
""" |
1719
|
|
|
scn = "eGon100RE" |
1720
|
|
|
|
1721
|
|
|
if TESTMODE_OFF: |
1722
|
|
|
logger.info(f"Gas sanity checks for scenario {scn}") |
1723
|
|
|
|
1724
|
|
|
# Buses |
1725
|
|
|
sanity_check_gas_buses(scn) |
1726
|
|
|
|
1727
|
|
|
# Loads |
1728
|
|
|
logger.info(f"LOADS") |
1729
|
|
|
|
1730
|
|
|
for carrier in ["CH4_for_industry", "H2_for_industry"]: |
1731
|
|
|
|
1732
|
|
|
output_gas_demand = db.select_dataframe( |
1733
|
|
|
f"""SELECT (SUM( |
1734
|
|
|
(SELECT SUM(p) |
1735
|
|
|
FROM UNNEST(b.p_set) p))/1000000)::numeric as load_twh |
1736
|
|
|
FROM grid.egon_etrago_load a |
1737
|
|
|
JOIN grid.egon_etrago_load_timeseries b |
1738
|
|
|
ON (a.load_id = b.load_id) |
1739
|
|
|
JOIN grid.egon_etrago_bus c |
1740
|
|
|
ON (a.bus=c.bus_id) |
1741
|
|
|
AND b.scn_name = '{scn}' |
1742
|
|
|
AND a.scn_name = '{scn}' |
1743
|
|
|
AND c.scn_name = '{scn}' |
1744
|
|
|
AND c.country = 'DE' |
1745
|
|
|
AND a.carrier = '{carrier}'; |
1746
|
|
|
""", |
1747
|
|
|
warning=False, |
1748
|
|
|
)["load_twh"].values[0] |
1749
|
|
|
|
1750
|
|
|
n = read_network() |
1751
|
|
|
node_pes = { |
1752
|
|
|
"CH4_for_industry": "DE0 0 gas for industry", |
1753
|
|
|
"H2_for_industry": "DE0 0 H2 for industry", |
1754
|
|
|
} |
1755
|
|
|
input_gas_demand = ( |
1756
|
|
|
n.loads.loc[node_pes[carrier], "p_set"] * 8760 / 1000000 |
1757
|
|
|
) |
1758
|
|
|
|
1759
|
|
|
e_demand = ( |
1760
|
|
|
round( |
1761
|
|
|
(output_gas_demand - input_gas_demand) / input_gas_demand, |
1762
|
|
|
2, |
1763
|
|
|
) |
1764
|
|
|
* 100 |
1765
|
|
|
) |
1766
|
|
|
logger.info(f"Deviation {carrier}: {e_demand} %") |
1767
|
|
|
|
1768
|
|
|
# Generators |
1769
|
|
|
logger.info(f"GENERATORS") |
1770
|
|
|
carrier_generator = "CH4" |
1771
|
|
|
|
1772
|
|
|
output_biogas_generation = db.select_dataframe( |
1773
|
|
|
f"""SELECT SUM(p_nom::numeric) as p_nom_germany |
1774
|
|
|
FROM grid.egon_etrago_generator |
1775
|
|
|
WHERE scn_name = '{scn}' |
1776
|
|
|
AND carrier = '{carrier_generator}' |
1777
|
|
|
AND bus IN |
1778
|
|
|
(SELECT bus_id |
1779
|
|
|
FROM grid.egon_etrago_bus |
1780
|
|
|
WHERE scn_name = '{scn}' |
1781
|
|
|
AND country = 'DE' |
1782
|
|
|
AND carrier = '{carrier_generator}'); |
1783
|
|
|
""", |
1784
|
|
|
warning=False, |
1785
|
|
|
)["p_nom_germany"].values[0] |
1786
|
|
|
|
1787
|
|
|
basename = "Biogaspartner_Einspeiseatlas_Deutschland_2021.xlsx" |
1788
|
|
|
target_file = Path(".") / "datasets" / "gas_data" / basename |
1789
|
|
|
|
1790
|
|
|
conversion_factor_b = 0.01083 # m^3/h to MWh/h |
1791
|
|
|
input_biogas_generation = ( |
1792
|
|
|
pd.read_excel( |
1793
|
|
|
target_file, |
1794
|
|
|
usecols=["Einspeisung Biomethan [(N*m^3)/h)]"], |
1795
|
|
|
)["Einspeisung Biomethan [(N*m^3)/h)]"].sum() |
1796
|
|
|
* conversion_factor_b |
1797
|
|
|
) |
1798
|
|
|
|
1799
|
|
|
e_biogas_generation = ( |
1800
|
|
|
round( |
1801
|
|
|
(output_biogas_generation - input_biogas_generation) |
1802
|
|
|
/ input_biogas_generation, |
1803
|
|
|
2, |
1804
|
|
|
) |
1805
|
|
|
* 100 |
1806
|
|
|
) |
1807
|
|
|
logger.info(f"Deviation biogas generation: {e_biogas_generation} %") |
1808
|
|
|
|
1809
|
|
|
# Stores |
1810
|
|
|
logger.info(f"STORES") |
1811
|
|
|
sanity_check_CH4_stores(scn) |
1812
|
|
|
sanity_check_H2_saltcavern_stores(scn) |
1813
|
|
|
|
1814
|
|
|
output_H2_grid_cap_store = db.select_dataframe( |
1815
|
|
|
f"""SELECT SUM(e_nom::numeric) as e_nom_germany |
1816
|
|
|
FROM grid.egon_etrago_store |
1817
|
|
|
WHERE scn_name = '{scn}' |
1818
|
|
|
AND carrier = 'H2' |
1819
|
|
|
AND bus IN |
1820
|
|
|
(SELECT bus_id |
1821
|
|
|
FROM grid.egon_etrago_bus |
1822
|
|
|
WHERE scn_name = '{scn}' |
1823
|
|
|
AND country = 'DE' |
1824
|
|
|
AND carrier = 'H2_grid'); |
1825
|
|
|
""", |
1826
|
|
|
warning=False, |
1827
|
|
|
)["e_nom_germany"].values[0] |
1828
|
|
|
|
1829
|
|
|
input_H2_grid_cap_store = 13000 * ( |
1830
|
|
|
get_sector_parameters("gas", "eGon100RE")[ |
1831
|
|
|
"retrofitted_CH4pipeline-to-H2pipeline_share" |
1832
|
|
|
] |
1833
|
|
|
) |
1834
|
|
|
|
1835
|
|
|
e_H2_grid_cap_store = ( |
1836
|
|
|
round( |
1837
|
|
|
(output_H2_grid_cap_store - input_H2_grid_cap_store) |
1838
|
|
|
/ input_H2_grid_cap_store, |
1839
|
|
|
2, |
1840
|
|
|
) |
1841
|
|
|
* 100 |
1842
|
|
|
) |
1843
|
|
|
logger.info( |
1844
|
|
|
f"Deviation H2 grid capacity stores: {e_H2_grid_cap_store} %" |
1845
|
|
|
) |
1846
|
|
|
|
1847
|
|
|
# Links |
1848
|
|
|
logger.info(f"LINKS") |
1849
|
|
|
p_nom_total = sanity_check_CH4_grid(scn) |
1850
|
|
|
|
1851
|
|
|
output_H2_grid = db.select_dataframe( |
1852
|
|
|
f"""SELECT SUM(p_nom::numeric) as p_nom_germany |
1853
|
|
|
FROM grid.egon_etrago_link |
1854
|
|
|
WHERE scn_name = '{scn}' |
1855
|
|
|
AND carrier = 'H2_retrofit' |
1856
|
|
|
AND bus0 IN |
1857
|
|
|
(SELECT bus_id |
1858
|
|
|
FROM grid.egon_etrago_bus |
1859
|
|
|
WHERE scn_name = '{scn}' |
1860
|
|
|
AND country = 'DE' |
1861
|
|
|
AND carrier = 'H2_grid') |
1862
|
|
|
AND bus1 IN |
1863
|
|
|
(SELECT bus_id |
1864
|
|
|
FROM grid.egon_etrago_bus |
1865
|
|
|
WHERE scn_name = '{scn}' |
1866
|
|
|
AND country = 'DE' |
1867
|
|
|
AND carrier = 'H2_grid') |
1868
|
|
|
; |
1869
|
|
|
""", |
1870
|
|
|
warning=False, |
1871
|
|
|
)["p_nom_germany"].values[0] |
1872
|
|
|
|
1873
|
|
|
input_H2_grid = p_nom_total * ( |
1874
|
|
|
get_sector_parameters("gas", "eGon100RE")[ |
1875
|
|
|
"retrofitted_CH4pipeline-to-H2pipeline_share" |
1876
|
|
|
] |
1877
|
|
|
) |
1878
|
|
|
|
1879
|
|
|
e_H2_grid = ( |
1880
|
|
|
round( |
1881
|
|
|
(output_H2_grid - input_H2_grid) / input_H2_grid, |
1882
|
|
|
2, |
1883
|
|
|
) |
1884
|
|
|
* 100 |
1885
|
|
|
) |
1886
|
|
|
logger.info(f"Deviation of the capacity of the H2 grid: {e_H2_grid} %") |
1887
|
|
|
|
1888
|
|
|
else: |
1889
|
|
|
print("Testmode is on, skipping sanity check.") |
1890
|
|
|
|