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Add .gitignore to exclude Python bytecode files

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Saeed Ranjbar 2023-12-05 12:47:44 -05:00
commit e3f1d52a21
6 changed files with 8973 additions and 3 deletions
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1
hub/exports/building_energy/idf.py
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@ -558,6 +558,7 @@ class Idf:
self._add_lighting(thermal_zone, building.name)
self._add_appliances(thermal_zone, building.name)
self._add_dhw(thermal_zone, building.name)
# todo: @Guille: if export_type is not surfaces, we don't differentiate between shadows and buildings?
if self._export_type == "Surfaces":
if building.name in self._target_buildings or building.name in self._adjacent_buildings:
if building.thermal_zones_from_internal_zones is not None:

100
hub/imports/results/energy_plus_single_building.py Normal file
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@ -0,0 +1,100 @@
"""
Insel monthly energy balance
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
Project collaborator Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
from hub.helpers.monthly_values import MonthlyValues
import csv
import hub.helpers.constants as cte
class EnergyPlusSingleBuilding:
def __init__(self, city, base_path):
self._city = city
self._base_path = base_path
@staticmethod
def _building_energy_demands(energy_plus_output_file_path):
with open(Path(energy_plus_output_file_path).resolve(), 'r', encoding='utf8') as csv_file:
csv_output = csv.reader(csv_file)
headers = next(csv_output)
building_energy_demands = {
'Heating (J)': [],
'Cooling (J)': [],
'DHW (J)': [],
'Appliances (J)': [],
'Lighting (J)': []
}
heating_column_index = []
cooling_column_index = []
dhw_column_index = []
appliance_column_index = []
lighting_column_index = []
for index, header in enumerate(headers):
if "Total Heating" in header:
heating_column_index.append(index)
elif "Total Cooling" in header:
cooling_column_index.append(index)
elif "DHW" in header:
dhw_column_index.append(index)
elif "InteriorEquipment" in header:
appliance_column_index.append(index)
elif "InteriorLights" in header:
lighting_column_index.append(index)
for line in csv_output:
total_heating_demand = 0
total_cooling_demand = 0
total_dhw_demand = 0
total_appliance_demand = 0
total_lighting_demand = 0
for heating_index in heating_column_index:
total_heating_demand += float(line[heating_index])
building_energy_demands['Heating (J)'].append(total_heating_demand)
for cooling_index in cooling_column_index:
total_cooling_demand += float(line[cooling_index])
building_energy_demands['Cooling (J)'].append(total_cooling_demand)
for dhw_index in dhw_column_index:
total_dhw_demand += float(line[dhw_index]) * cte.WATTS_HOUR_TO_JULES
building_energy_demands['DHW (J)'].append(total_dhw_demand)
for appliance_index in appliance_column_index:
total_appliance_demand += float(line[appliance_index])
building_energy_demands['Appliances (J)'].append(total_appliance_demand)
for lighting_index in lighting_column_index:
total_lighting_demand += float(line[lighting_index])
building_energy_demands['Lighting (J)'].append(total_lighting_demand)
return building_energy_demands
def enrich(self):
"""
Enrich the city by using the energy plus workflow output files (J)
:return: None
"""
for building in self._city.buildings:
file_name = f'{building.name}_out.csv'
energy_plus_output_file_path = Path(self._base_path / file_name).resolve()
if energy_plus_output_file_path.is_file():
building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
building.heating_demand[cte.HOUR] = building_energy_demands['Heating (J)']
building.cooling_demand[cte.HOUR] = building_energy_demands['Cooling (J)']
building.domestic_hot_water_heat_demand[cte.HOUR] = building_energy_demands['DHW (J)']
building.appliances_electrical_demand[cte.HOUR] = building_energy_demands['Appliances (J)']
building.lighting_electrical_demand[cte.HOUR] = building_energy_demands['Lighting (J)']
building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
building.domestic_hot_water_heat_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.domestic_hot_water_heat_demand[cte.HOUR]))
building.appliances_electrical_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.appliances_electrical_demand[cte.HOUR]))
building.lighting_electrical_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.lighting_electrical_demand[cte.HOUR]))
building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.MONTH])]
building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.MONTH])]
building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.MONTH])]
building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.MONTH])]
building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.MONTH])]

100
hub/imports/results/ep_multiple_buildings.py Normal file
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@ -0,0 +1,100 @@
"""
Insel monthly energy balance
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
Project collaborator Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
from hub.helpers.monthly_values import MonthlyValues
import csv
import hub.helpers.constants as cte
class EnergyPlusSingleBuilding:
def __init__(self, city, base_path):
self._city = city
self._base_path = base_path
@staticmethod
def _building_energy_demands(energy_plus_output_file_path):
with open(Path(energy_plus_output_file_path).resolve(), 'r', encoding='utf8') as csv_file:
csv_output = csv.reader(csv_file)
headers = next(csv_output)
building_energy_demands = {
'Heating (J)': [],
'Cooling (J)': [],
'DHW (J)': [],
'Appliances (J)': [],
'Lighting (J)': []
}
heating_column_index = []
cooling_column_index = []
dhw_column_index = []
appliance_column_index = []
lighting_column_index = []
for index, header in enumerate(headers):
if "Total Heating" in header:
heating_column_index.append(index)
elif "Total Cooling" in header:
cooling_column_index.append(index)
elif "DHW" in header:
dhw_column_index.append(index)
elif "InteriorEquipment" in header:
appliance_column_index.append(index)
elif "InteriorLights" in header:
lighting_column_index.append(index)
for line in csv_output:
total_heating_demand = 0
total_cooling_demand = 0
total_dhw_demand = 0
total_appliance_demand = 0
total_lighting_demand = 0
for heating_index in heating_column_index:
total_heating_demand += float(line[heating_index])
building_energy_demands['Heating (J)'].append(total_heating_demand)
for cooling_index in cooling_column_index:
total_cooling_demand += float(line[cooling_index])
building_energy_demands['Cooling (J)'].append(total_cooling_demand)
for dhw_index in dhw_column_index:
total_dhw_demand += float(line[dhw_index]) * cte.WATTS_HOUR_TO_JULES
building_energy_demands['DHW (J)'].append(total_dhw_demand)
for appliance_index in appliance_column_index:
total_appliance_demand += float(line[appliance_index])
building_energy_demands['Appliances (J)'].append(total_appliance_demand)
for lighting_index in lighting_column_index:
total_lighting_demand += float(line[lighting_index])
building_energy_demands['Lighting (J)'].append(total_lighting_demand)
return building_energy_demands
def enrich(self):
"""
Enrich the city by using the energy plus workflow output files (J)
:return: None
"""
for building in self._city.buildings:
file_name = f'{building.name}_out.csv'
energy_plus_output_file_path = Path(self._base_path / file_name).resolve()
if energy_plus_output_file_path.is_file():
building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
building.heating_demand[cte.HOUR] = building_energy_demands['Heating (J)']
building.cooling_demand[cte.HOUR] = building_energy_demands['Cooling (J)']
building.domestic_hot_water_heat_demand[cte.HOUR] = building_energy_demands['DHW (J)']
building.appliances_electrical_demand[cte.HOUR] = building_energy_demands['Appliances (J)']
building.lighting_electrical_demand[cte.HOUR] = building_energy_demands['Lighting (J)']
building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
building.domestic_hot_water_heat_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.domestic_hot_water_heat_demand[cte.HOUR]))
building.appliances_electrical_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.appliances_electrical_demand[cte.HOUR]))
building.lighting_electrical_demand[cte.MONTH] = (
MonthlyValues.get_total_month(building.lighting_electrical_demand[cte.HOUR]))
building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.MONTH])]
building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.MONTH])]
building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.MONTH])]
building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.MONTH])]
building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.MONTH])]

12
hub/imports/results_factory.py
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@ -11,6 +11,8 @@ from hub.helpers.utils import validate_import_export_type
from hub.imports.results.insel_monthly_energry_balance import InselMonthlyEnergyBalance
from hub.imports.results.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
from hub.imports.results.energy_plus import EnergyPlus
# from hub.imports.results.ep_multiple_buildings import EnergyPlusMultiple
from hub.imports.results.energy_plus_single_building import EnergyPlusSingleBuilding
class ResultFactory:
"""
@ -46,11 +48,17 @@ class ResultFactory:
"""
InselMonthlyEnergyBalance(self._city, self._base_path).enrich()
def _energy_plus_workflow(self):
def _energy_plus_single_building(self):
"""
Enrich the city with energy plus results
"""
EnergyPlus(self._city, self._base_path).enrich()
EnergyPlusSingleBuilding(self._city, self._base_path).enrich()
# def _energy_plus_multiple(self):
# """
# Enrich the city with energy plus results
# """
# EnergyPlusMultiple(self._city, self._base_path).enrich()
def enrich(self):
"""

2
tests/test_results_import.py
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@ -94,7 +94,7 @@ class TestResultsImport(TestCase):
self.assertIsNotNone(building.cooling_peak_load)
def test_energy_plus_results_import(self):
ResultFactory('energy_plus_workflow', self._city, self._example_path).enrich()
ResultFactory('energy_plus_single_building', self._city, self._example_path).enrich()
for building in self._city.buildings:
csv_output_name = f'{building.name}_out.csv'
csv_output_path = (self._example_path / csv_output_name).resolve()

8761
tests/tests_data/Montreal_out.csv Normal file
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