s_ranjbar/monthly_energy_balance_results_report
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solved bug in ventilation + infiltration calculation

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This commit is contained in:
Pilar Monsalvete 2023-03-24 13:34:37 -04:00
parent de80850367
commit f5987cfbcc
4 changed files with 52 additions and 21 deletions
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24
hub/exports/building_energy/insel/insel_monthly_energy_balance.py
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@ -132,7 +132,29 @@ class InselMonthlyEnergyBalance(Insel):
parameters.append(f'{usage.hours_day} % BP(16) #6 Usage hours per day zone {i + 1}')
parameters.append(f'{usage.days_year} % BP(17) #7 Usage days per year zone {i + 1}')
ventilation_infiltration = usage.mechanical_air_change + internal_zone.thermal_zones[0].infiltration_rate_system_off
ventilation = 0
infiltration = 0
for schedule in usage.thermal_control.hvac_availability_schedules:
ventilation_day = 0
infiltration_day = 0
for value in schedule.values:
if value == 0:
infiltration_day += internal_zone.thermal_zones[0].infiltration_rate_system_off / 24
ventilation_day += 0
else:
ventilation_value = usage.mechanical_air_change * value
infiltration_value = internal_zone.thermal_zones[0].infiltration_rate_system_off * value
if ventilation_value >= infiltration_value:
ventilation_day += ventilation_value / 24
infiltration_day += 0
else:
ventilation_day += 0
infiltration_day += infiltration_value / 24
for day_type in schedule.day_types:
infiltration += infiltration_day * cte.DAYS_A_YEAR[day_type] / 365
ventilation += ventilation_day * cte.DAYS_A_YEAR[day_type] / 365
ventilation_infiltration = ventilation + infiltration
parameters.append(f'{ventilation_infiltration} % BP(18) #8 Minimum air change rate zone {i + 1} (ACH)')
parameters.append(f'{len(thermal_zone.thermal_boundaries)} % Number of surfaces = BP(11+8z) \n'

26
hub/helpers/constants.py
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@ -8,8 +8,12 @@ Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
# universal constants
KELVIN = 273.15
WATER_DENSITY = 1000
WATER_HEAT_CAPACITY = 4182
WATER_DENSITY = 1000 # kg/m3
WATER_HEAT_CAPACITY = 4182 # J/kgK
AIR_DENSITY = 1.293 # kg/m3
AIR_HEAT_CAPACITY = 1005.2 # J/kgK
# converters
HOUR_TO_MINUTES = 60
@ -44,6 +48,24 @@ WEEK_DAYS = 'Weekdays'
WEEK_ENDS = 'Weekends'
ALL_DAYS = 'Alldays'
DAYS_A_MONTH = {'monday': [5, 4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 5],
'tuesday': [5, 4, 4, 4, 5, 4, 5, 4, 4, 5, 4, 4],
'wednesday': [5, 4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4],
'thursday': [4, 4, 5, 4, 5, 4, 4, 5, 4, 4, 5, 4],
'friday': [4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5, 4],
'saturday': [4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 4, 5],
'sunday': [4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5],
'holiday': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
DAYS_A_YEAR = {'monday': 53,
'tuesday': 52,
'wednesday': 52,
'thursday': 52,
'friday': 52,
'saturday': 52,
'sunday': 52,
'holiday': 0}
# data types
ANY_NUMBER = 'any_number'
FRACTION = 'fraction'

15
hub/imports/results/insel_monthly_energry_balance.py
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@ -10,15 +10,6 @@ import pandas as pd
import csv
import hub.helpers.constants as cte
_DAYS_A_MONTH = {cte.MONDAY: [5, 4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 5],
cte.TUESDAY: [5, 4, 4, 4, 5, 4, 5, 4, 4, 5, 4, 4],
cte.WEDNESDAY: [5, 4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4],
cte.THURSDAY: [4, 4, 5, 4, 5, 4, 4, 5, 4, 4, 5, 4],
cte.FRIDAY: [4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5, 4],
cte.SATURDAY: [4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 4, 5],
cte.SUNDAY: [4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5],
cte.HOLIDAY: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
class InselMonthlyEnergyBalance:
"""
@ -67,7 +58,7 @@ class InselMonthlyEnergyBalance:
for day_type in schedule.day_types:
demand = thermal_zone.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY \
* (thermal_zone.domestic_hot_water.service_temperature - cold_water[month])
total_dhw_demand += total_day * _DAYS_A_MONTH[day_type][month] * demand
total_dhw_demand += total_day * cte.DAYS_A_MONTH[day_type][month] * demand
domestic_hot_water_demand.append(total_dhw_demand * area)
building.domestic_hot_water_heat_demand[cte.MONTH] = \
@ -91,7 +82,7 @@ class InselMonthlyEnergyBalance:
for value in schedule.values:
total_day += value
for day_type in schedule.day_types:
total_lighting += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.lighting.density
total_lighting += total_day * cte.DAYS_A_MONTH[day_type][month] * thermal_zone.lighting.density
lighting_demand.append(total_lighting * area)
total_appliances = 0
@ -100,7 +91,7 @@ class InselMonthlyEnergyBalance:
for value in schedule.values:
total_day += value
for day_type in schedule.day_types:
total_appliances += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.appliances.density
total_appliances += total_day * cte.DAYS_A_MONTH[day_type][month] * thermal_zone.appliances.density
appliances_demand.append(total_appliances * area)
building.lighting_electrical_demand[cte.MONTH] = pd.DataFrame(lighting_demand, columns=[cte.INSEL_MEB])

8
hub/unittests/test_usage_factory.py
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@ -51,9 +51,7 @@ class TestUsageFactory(TestCase):
self.assertIsNotNone(building.walls, 'building walls is none')
self.assertIsNotNone(building.roofs, 'building roofs is none')
for internal_zone in building.internal_zones:
if internal_zone.usages is None:
print('non heated')
else:
if internal_zone.usages is not None:
self.assertTrue(len(internal_zone.usages) > 0, 'usage zones are not defined')
self.assertIsNone(internal_zone.thermal_zones, 'thermal zones are defined')
self.assertIsNone(building.basement_heated, 'building basement_heated is not none')
@ -148,9 +146,7 @@ class TestUsageFactory(TestCase):
self._check_buildings(city)
for building in city.buildings:
for internal_zone in building.internal_zones:
if internal_zone.usages is None:
print('non heated')
else:
if internal_zone.usages is not None:
self.assertIsNot(len(internal_zone.usages), 0, 'no building usage defined')
for usage in internal_zone.usages:
self._check_usage(usage)