50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
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"""
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Monthly demand calculation using the monthly energy balance methodology based on the norm...
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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from pathlib import Path
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import pandas as pd
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import sys
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from insel.templates.monthly_energy_balance import MonthlyEnergyBalance as templates
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from insel.insel import Insel
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class MonthlyDemandCalculation:
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def __init__(self, city, main_path, weather_format):
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self._city = city
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self._main_path = main_path
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self._weather_format = weather_format
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def monthly_demand(self):
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for building in self._city.buildings:
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full_path_out = Path(self._main_path + '/outputs/' + building.name + '_insel.out').resolve()
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full_path_out.parent.mkdir(parents=True, exist_ok=True)
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insel_file_name = building.name + '.insel'
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try:
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content = templates.generate_meb_template(building, full_path_out, self._weather_format)
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insel = Insel(Path(self._main_path).resolve(), insel_file_name, content, mode=2, keep_files=True).run()
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building.heating['month'], building.cooling['month'] = templates.demand(full_path_out)
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heating_year = 0
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for value in building.heating['month']['INSEL']:
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if value == 'NaN':
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value = '0'
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heating_year += float(value)
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yearly_heating = pd.DataFrame([heating_year], columns=['INSEL'])
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building.heating['year'] = yearly_heating
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cooling_year = 0
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for value in building.cooling['month']['INSEL']:
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if value == 'NaN':
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value = '0'
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cooling_year += float(value)
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yearly_cooling = pd.DataFrame([cooling_year], columns=['INSEL'])
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building.cooling['year'] = yearly_cooling
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except ValueError:
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print(sys.exc_info()[1])
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print('Building ' + building.name + ' could not be processed')
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continue
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