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""" |
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This module does sanity checks for both the eGon2035 and the eGon100RE scenario seperately where a percentage |
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error is given to showcase difference in output and input values. Please note that there are missing input technologies in the supply tables. |
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Authors: @ALonso, @dana |
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""" |
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from math import isclose |
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from pathlib import Path |
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from loguru import logger |
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import matplotlib.pyplot as plt |
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import seaborn as sns |
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from egon.data import db |
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from egon.data.datasets import Dataset |
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from egon.data.datasets.power_plants.pv_rooftop_buildings import ( |
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municipality_data, |
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osm_buildings, |
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scenario_data, |
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) |
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import egon.data |
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class SanityChecks(Dataset): |
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def __init__(self, dependencies): |
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super().__init__( |
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name="SanityChecks", |
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version="0.0.2", |
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dependencies=dependencies, |
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tasks=( |
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sanitycheck_eGon2035_electricity, |
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sanitycheck_eGon2035_heat, |
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sanitycheck_pv_rooftop_buildings, |
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), |
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) |
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def sanitycheck_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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print(f"Sanity checks for scenario {scn}") |
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print( |
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"For German electricity generators the following deviations between the inputs and outputs can be observed:" |
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) |
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carriers_electricity = [ |
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"other_non_renewable", |
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"other_renewable", |
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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', '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, 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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print( |
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f"No capacity for carrier '{carrier}' needed to be distributed. " |
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f"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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print( |
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f"Error: Capacity for carrier '{carrier}' was not distributed 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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print( |
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f"Error: Eventhough no input capacity was provided for carrier '{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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print(f"{carrier}: " + str(round(g, 2)) + " %") |
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# Section to check storage units |
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print(f"Sanity checks for scenario {scn}") |
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print( |
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"For German electrical storage units the following deviations between 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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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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print( |
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f"No capacity for carrier '{carrier}' needed to be 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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print( |
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f"Error: Capacity for carrier '{carrier}' was not distributed 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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print( |
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f"Error: Eventhough no input capacity was provided for carrier '{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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print(f"{carrier}: " + str(round(g, 2)) + " %") |
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# Section to check loads |
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print( |
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"For German electricity loads the following deviations between the input and output can be observed:" |
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) |
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output_demand = db.select_dataframe( |
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"""SELECT a.scn_name, a.carrier, SUM((SELECT SUM(p) FROM UNNEST(b.p_set) p))/1000000::numeric as load_twh |
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FROM grid.egon_etrago_load a |
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JOIN grid.egon_etrago_load_timeseries b |
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ON (a.load_id = b.load_id) |
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JOIN grid.egon_etrago_bus c |
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ON (a.bus=c.bus_id) |
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AND b.scn_name = 'eGon2035' |
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AND a.scn_name = 'eGon2035' |
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AND a.carrier = 'AC' |
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AND c.scn_name= 'eGon2035' |
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AND c.country='DE' |
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GROUP BY (a.scn_name, a.carrier); |
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""", |
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warning=False, |
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)["load_twh"].values[0] |
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input_cts_ind = db.select_dataframe( |
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"""SELECT scenario, SUM(demand::numeric/1000000) as demand_mw_regio_cts_ind |
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FROM demand.egon_demandregio_cts_ind |
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WHERE scenario= 'eGon2035' |
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AND year IN ('2035') |
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GROUP BY (scenario); |
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""", |
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warning=False, |
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)["demand_mw_regio_cts_ind"].values[0] |
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input_hh = db.select_dataframe( |
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"""SELECT scenario, SUM(demand::numeric/1000000) as demand_mw_regio_hh |
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FROM demand.egon_demandregio_hh |
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256
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WHERE scenario= 'eGon2035' |
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AND year IN ('2035') |
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GROUP BY (scenario); |
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""", |
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warning=False, |
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)["demand_mw_regio_hh"].values[0] |
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263
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input_demand = input_hh + input_cts_ind |
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264
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265
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e = round((output_demand - input_demand) / input_demand, 2) * 100 |
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267
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print(f"electricity demand: {e} %") |
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268
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269
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270
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def sanitycheck_eGon2035_heat(): |
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271
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"""Execute basic sanity checks. |
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272
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273
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Returns print statements as sanity checks for the heat sector in |
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274
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the eGon2035 scenario. |
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275
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|
276
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Parameters |
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277
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---------- |
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278
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None |
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279
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280
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Returns |
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281
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------- |
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282
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None |
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283
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""" |
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284
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285
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# Check input and output values for the carriers "other_non_renewable", |
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286
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# "other_renewable", "reservoir", "run_of_river" and "oil" |
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287
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288
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scn = "eGon2035" |
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289
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290
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# Section to check generator capacities |
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291
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print(f"Sanity checks for scenario {scn}") |
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292
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print( |
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293
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"For German heat demands the following deviations between the inputs and outputs can be observed:" |
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294
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) |
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295
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296
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# Sanity checks for heat demand |
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297
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298
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output_heat_demand = db.select_dataframe( |
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299
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"""SELECT a.scn_name, (SUM((SELECT SUM(p) FROM UNNEST(b.p_set) p))/1000000)::numeric as load_twh |
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300
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FROM grid.egon_etrago_load a |
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301
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JOIN grid.egon_etrago_load_timeseries b |
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302
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ON (a.load_id = b.load_id) |
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303
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JOIN grid.egon_etrago_bus c |
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304
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ON (a.bus=c.bus_id) |
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305
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AND b.scn_name = 'eGon2035' |
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306
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AND a.scn_name = 'eGon2035' |
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307
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AND c.scn_name= 'eGon2035' |
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308
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AND c.country='DE' |
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309
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AND a.carrier IN ('rural_heat', 'central_heat') |
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310
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GROUP BY (a.scn_name); |
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311
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""", |
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312
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warning=False, |
|
313
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)["load_twh"].values[0] |
|
314
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|
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|
|
315
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input_heat_demand = db.select_dataframe( |
|
316
|
|
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"""SELECT scenario, SUM(demand::numeric/1000000) as demand_mw_peta_heat |
|
317
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FROM demand.egon_peta_heat |
|
318
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WHERE scenario= 'eGon2035' |
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319
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GROUP BY (scenario); |
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320
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""", |
|
321
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warning=False, |
|
322
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)["demand_mw_peta_heat"].values[0] |
|
323
|
|
|
|
|
324
|
|
|
e_demand = ( |
|
325
|
|
|
round((output_heat_demand - input_heat_demand) / input_heat_demand, 2) |
|
326
|
|
|
* 100 |
|
327
|
|
|
) |
|
328
|
|
|
|
|
329
|
|
|
print(f"heat demand: {e_demand} %") |
|
330
|
|
|
|
|
331
|
|
|
# Sanity checks for heat supply |
|
332
|
|
|
|
|
333
|
|
|
print( |
|
334
|
|
|
"For German heat supplies the following deviations between the inputs and " |
|
335
|
|
|
"outputs can be observed:" |
|
336
|
|
|
) |
|
337
|
|
|
|
|
338
|
|
|
# Comparison for central heat pumps |
|
339
|
|
|
heat_pump_input = db.select_dataframe( |
|
340
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as Urban_central_heat_pump_mw |
|
341
|
|
|
FROM supply.egon_scenario_capacities |
|
342
|
|
|
WHERE carrier= 'urban_central_heat_pump' |
|
343
|
|
|
AND scenario_name IN ('eGon2035') |
|
344
|
|
|
GROUP BY (carrier); |
|
345
|
|
|
""", |
|
346
|
|
|
warning=False, |
|
347
|
|
|
)["urban_central_heat_pump_mw"].values[0] |
|
348
|
|
|
|
|
349
|
|
|
heat_pump_output = db.select_dataframe( |
|
350
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as Central_heat_pump_mw |
|
351
|
|
|
FROM grid.egon_etrago_link |
|
352
|
|
|
WHERE carrier= 'central_heat_pump' |
|
353
|
|
|
AND scn_name IN ('eGon2035') |
|
354
|
|
|
GROUP BY (carrier); |
|
355
|
|
|
""", |
|
356
|
|
|
warning=False, |
|
357
|
|
|
)["central_heat_pump_mw"].values[0] |
|
358
|
|
|
|
|
359
|
|
|
e_heat_pump = ( |
|
360
|
|
|
round((heat_pump_output - heat_pump_input) / heat_pump_output, 2) * 100 |
|
361
|
|
|
) |
|
362
|
|
|
|
|
363
|
|
|
print(f"'central_heat_pump': {e_heat_pump} % ") |
|
364
|
|
|
|
|
365
|
|
|
# Comparison for residential heat pumps |
|
366
|
|
|
|
|
367
|
|
|
input_residential_heat_pump = db.select_dataframe( |
|
368
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as residential_heat_pump_mw |
|
369
|
|
|
FROM supply.egon_scenario_capacities |
|
370
|
|
|
WHERE carrier= 'residential_rural_heat_pump' |
|
371
|
|
|
AND scenario_name IN ('eGon2035') |
|
372
|
|
|
GROUP BY (carrier); |
|
373
|
|
|
""", |
|
374
|
|
|
warning=False, |
|
375
|
|
|
)["residential_heat_pump_mw"].values[0] |
|
376
|
|
|
|
|
377
|
|
|
output_residential_heat_pump = db.select_dataframe( |
|
378
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as rural_heat_pump_mw |
|
379
|
|
|
FROM grid.egon_etrago_link |
|
380
|
|
|
WHERE carrier= 'rural_heat_pump' |
|
381
|
|
|
AND scn_name IN ('eGon2035') |
|
382
|
|
|
GROUP BY (carrier); |
|
383
|
|
|
""", |
|
384
|
|
|
warning=False, |
|
385
|
|
|
)["rural_heat_pump_mw"].values[0] |
|
386
|
|
|
|
|
387
|
|
|
e_residential_heat_pump = ( |
|
388
|
|
|
round( |
|
389
|
|
|
(output_residential_heat_pump - input_residential_heat_pump) |
|
390
|
|
|
/ input_residential_heat_pump, |
|
391
|
|
|
2, |
|
392
|
|
|
) |
|
393
|
|
|
* 100 |
|
394
|
|
|
) |
|
395
|
|
|
print(f"'residential heat pumps': {e_residential_heat_pump} %") |
|
396
|
|
|
|
|
397
|
|
|
# Comparison for resistive heater |
|
398
|
|
|
resistive_heater_input = db.select_dataframe( |
|
399
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as Urban_central_resistive_heater_MW |
|
400
|
|
|
FROM supply.egon_scenario_capacities |
|
401
|
|
|
WHERE carrier= 'urban_central_resistive_heater' |
|
402
|
|
|
AND scenario_name IN ('eGon2035') |
|
403
|
|
|
GROUP BY (carrier); |
|
404
|
|
|
""", |
|
405
|
|
|
warning=False, |
|
406
|
|
|
)["urban_central_resistive_heater_mw"].values[0] |
|
407
|
|
|
|
|
408
|
|
|
resistive_heater_output = db.select_dataframe( |
|
409
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as central_resistive_heater_MW |
|
410
|
|
|
FROM grid.egon_etrago_link |
|
411
|
|
|
WHERE carrier= 'central_resistive_heater' |
|
412
|
|
|
AND scn_name IN ('eGon2035') |
|
413
|
|
|
GROUP BY (carrier); |
|
414
|
|
|
""", |
|
415
|
|
|
warning=False, |
|
416
|
|
|
)["central_resistive_heater_mw"].values[0] |
|
417
|
|
|
|
|
418
|
|
|
e_resistive_heater = ( |
|
419
|
|
|
round( |
|
420
|
|
|
(resistive_heater_output - resistive_heater_input) |
|
421
|
|
|
/ resistive_heater_input, |
|
422
|
|
|
2, |
|
423
|
|
|
) |
|
424
|
|
|
* 100 |
|
425
|
|
|
) |
|
426
|
|
|
|
|
427
|
|
|
print(f"'resistive heater': {e_resistive_heater} %") |
|
428
|
|
|
|
|
429
|
|
|
# Comparison for solar thermal collectors |
|
430
|
|
|
|
|
431
|
|
|
input_solar_thermal = db.select_dataframe( |
|
432
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as solar_thermal_collector_mw |
|
433
|
|
|
FROM supply.egon_scenario_capacities |
|
434
|
|
|
WHERE carrier= 'urban_central_solar_thermal_collector' |
|
435
|
|
|
AND scenario_name IN ('eGon2035') |
|
436
|
|
|
GROUP BY (carrier); |
|
437
|
|
|
""", |
|
438
|
|
|
warning=False, |
|
439
|
|
|
)["solar_thermal_collector_mw"].values[0] |
|
440
|
|
|
|
|
441
|
|
|
output_solar_thermal = db.select_dataframe( |
|
442
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as solar_thermal_collector_mw |
|
443
|
|
|
FROM grid.egon_etrago_generator |
|
444
|
|
|
WHERE carrier= 'solar_thermal_collector' |
|
445
|
|
|
AND scn_name IN ('eGon2035') |
|
446
|
|
|
GROUP BY (carrier); |
|
447
|
|
|
""", |
|
448
|
|
|
warning=False, |
|
449
|
|
|
)["solar_thermal_collector_mw"].values[0] |
|
450
|
|
|
|
|
451
|
|
|
e_solar_thermal = ( |
|
452
|
|
|
round( |
|
453
|
|
|
(output_solar_thermal - input_solar_thermal) / input_solar_thermal, |
|
454
|
|
|
2, |
|
455
|
|
|
) |
|
456
|
|
|
* 100 |
|
457
|
|
|
) |
|
458
|
|
|
print(f"'solar thermal collector': {e_solar_thermal} %") |
|
459
|
|
|
|
|
460
|
|
|
# Comparison for geothermal |
|
461
|
|
|
|
|
462
|
|
|
input_geo_thermal = db.select_dataframe( |
|
463
|
|
|
"""SELECT carrier, SUM(capacity::numeric) as Urban_central_geo_thermal_MW |
|
464
|
|
|
FROM supply.egon_scenario_capacities |
|
465
|
|
|
WHERE carrier= 'urban_central_geo_thermal' |
|
466
|
|
|
AND scenario_name IN ('eGon2035') |
|
467
|
|
|
GROUP BY (carrier); |
|
468
|
|
|
""", |
|
469
|
|
|
warning=False, |
|
470
|
|
|
)["urban_central_geo_thermal_mw"].values[0] |
|
471
|
|
|
|
|
472
|
|
|
output_geo_thermal = db.select_dataframe( |
|
473
|
|
|
"""SELECT carrier, SUM(p_nom::numeric) as geo_thermal_MW |
|
474
|
|
|
FROM grid.egon_etrago_generator |
|
475
|
|
|
WHERE carrier= 'geo_thermal' |
|
476
|
|
|
AND scn_name IN ('eGon2035') |
|
477
|
|
|
GROUP BY (carrier); |
|
478
|
|
|
""", |
|
479
|
|
|
warning=False, |
|
480
|
|
|
)["geo_thermal_mw"].values[0] |
|
481
|
|
|
|
|
482
|
|
|
e_geo_thermal = ( |
|
483
|
|
|
round((output_geo_thermal - input_geo_thermal) / input_geo_thermal, 2) |
|
484
|
|
|
* 100 |
|
485
|
|
|
) |
|
486
|
|
|
print(f"'geothermal': {e_geo_thermal} %") |
|
487
|
|
|
|
|
488
|
|
|
|
|
489
|
|
|
def sanitycheck_pv_rooftop_buildings(): |
|
490
|
|
|
def egon_power_plants_pv_roof_building(): |
|
491
|
|
|
sql = """ |
|
492
|
|
|
SELECT * |
|
493
|
|
|
FROM supply.egon_power_plants_pv_roof_building |
|
494
|
|
|
""" |
|
495
|
|
|
|
|
496
|
|
|
return db.select_dataframe(sql, index_col="index") |
|
497
|
|
|
|
|
498
|
|
|
pv_roof_df = egon_power_plants_pv_roof_building() |
|
499
|
|
|
|
|
500
|
|
|
municipalities_gdf = municipality_data() |
|
501
|
|
|
|
|
502
|
|
|
osm_buildings_gdf = osm_buildings(municipalities_gdf.crs) |
|
503
|
|
|
|
|
504
|
|
|
merge_df = pv_roof_df.merge( |
|
505
|
|
|
osm_buildings_gdf[["area"]], |
|
506
|
|
|
how="left", |
|
507
|
|
|
left_on="building_id", |
|
508
|
|
|
right_index=True, |
|
509
|
|
|
) |
|
510
|
|
|
|
|
511
|
|
|
assert len(merge_df.loc[merge_df.area.isna()]) == 0 |
|
512
|
|
|
|
|
513
|
|
|
scenarios = ["status_quo", "eGon2035"] |
|
514
|
|
|
|
|
515
|
|
|
base_path = Path(egon.data.__path__[0]).resolve() |
|
516
|
|
|
|
|
517
|
|
|
res_dir = base_path / "sanity_checks" |
|
518
|
|
|
|
|
519
|
|
|
res_dir.mkdir(parents=True, exist_ok=True) |
|
520
|
|
|
|
|
521
|
|
|
for scenario in scenarios: |
|
522
|
|
|
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 8)) |
|
523
|
|
|
|
|
524
|
|
|
scenario_df = merge_df.loc[merge_df.scenario == scenario] |
|
525
|
|
|
|
|
526
|
|
|
logger.info( |
|
527
|
|
|
scenario + " Capacity:\n" + str(scenario_df.capacity.describe()) |
|
528
|
|
|
) |
|
529
|
|
|
|
|
530
|
|
|
small_gens_df = scenario_df.loc[scenario_df.capacity < 100] |
|
531
|
|
|
|
|
532
|
|
|
sns.histplot(data=small_gens_df, x="capacity", ax=ax1).set_title( |
|
533
|
|
|
scenario |
|
534
|
|
|
) |
|
535
|
|
|
|
|
536
|
|
|
sns.scatterplot( |
|
537
|
|
|
data=small_gens_df, x="capacity", y="area", ax=ax2 |
|
538
|
|
|
).set_title(scenario) |
|
539
|
|
|
|
|
540
|
|
|
plt.tight_layout() |
|
541
|
|
|
|
|
542
|
|
|
plt.savefig( |
|
543
|
|
|
res_dir / f"{scenario}_pv_rooftop_distribution.png", |
|
544
|
|
|
bbox_inches="tight", |
|
545
|
|
|
) |
|
546
|
|
|
|
|
547
|
|
|
scenarios = ["eGon2035"] # "eGon100RE"] |
|
548
|
|
|
|
|
549
|
|
|
for scenario in scenarios: |
|
550
|
|
|
assert isclose( |
|
551
|
|
|
scenario_data(scenario=scenario).capacity.sum() * 1000, |
|
552
|
|
|
merge_df.loc[merge_df.scenario == scenario].capacity.sum(), |
|
553
|
|
|
rel_tol=1e-02, |
|
554
|
|
|
), ( |
|
555
|
|
|
f"{scenario_data(scenario=scenario).capacity.sum() * 1000} != " |
|
556
|
|
|
f"{merge_df.loc[merge_df.scenario == scenario].capacity.sum()}" |
|
557
|
|
|
) |
|
558
|
|
|
|