s_ranjbar/city_retrofit
1
0
Fork 1
Code Issues Pull Requests Packages Projects Releases Wiki Activity

added domestic hot water parameters in catalog and importers

Browse Source
This commit is contained in:
Pilar Monsalvete 2023-03-20 11:07:43 -04:00
parent aa0952969f
commit 9f28c2f93d
12 changed files with 130 additions and 21 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
hub/catalog_factories/data_models/usages/domestic_hot_water.py
View File

@ -14,8 +14,9 @@ class DomesticHotWater:
"""
DomesticHotWater class
"""
def __init__(self, density, service_temperature, schedules):
def __init__(self, density, peak_flow, service_temperature, schedules):
self._density = density
self._peak_flow = peak_flow
self._service_temperature = service_temperature
self._schedules = schedules
@ -27,6 +28,14 @@ class DomesticHotWater:
"""
return self._density
@property
def peak_flow(self) -> Union[None, float]:
"""
Get domestic hot water peak_flow density in m3 per second and m2
:return: None or float
"""
return self._peak_flow
@property
def service_temperature(self) -> Union[None, float]:
"""

1
hub/catalog_factories/usage/comnet_catalog.py
View File

@ -104,6 +104,7 @@ class ComnetCatalog(Catalog):
density = float(density) * cte.BTU_H_TO_WATTS * occupancy_density
domestic_hot_water_service_temperature = self._schedules[schedule_name]['WtrHtrSetPt'][0].values[0]
domestic_hot_water = DomesticHotWater(density,
None,
domestic_hot_water_service_temperature,
self._schedules[schedule_name]['Service Hot Water']
)

15
hub/catalog_factories/usage/nrcan_catalog.py
View File

@ -79,10 +79,8 @@ class NrcanCatalog(Catalog):
url = f'{self._base_url}{name["space_types_location"]}'
with urllib.request.urlopen(url) as json_file:
space_types = json.load(json_file)['tables']['space_types']['table']
# space_types = [st for st in space_types if st['building_type'] == 'Space Function']
space_types = [st for st in space_types if st['space_type'] == 'WholeBuilding']
for space_type in space_types:
# usage_type = space_type['space_type']
usage_type = space_type['building_type']
occupancy_schedule_name = space_type['occupancy_schedule']
lighting_schedule_name = space_type['lighting_schedule']
@ -127,14 +125,10 @@ class NrcanCatalog(Catalog):
if appliances_radiative_fraction is not None and appliances_latent_fraction is not None:
appliances_convective_fraction = 1 - appliances_radiative_fraction - appliances_latent_fraction
# peak flow in m3/day/m2
domestic_hot_water_peak_flow = space_type['service_water_heating_peak_flow_per_area']
# peak flow in gallons/h/ft2
domestic_hot_water_peak_flow = space_type['service_water_heating_peak_flow_per_area'] \
* cte.GALLONS_TO_QUBIC_METERS / cte.HOUR_TO_SECONDS * pow(cte.METERS_TO_FEET, 2)
domestic_hot_water_service_temperature = space_type['service_water_heating_target_temperature']
average_domestic_hot_water_inlet_temperature = 16.5
# result in W/m2
domestic_hot_water_density = domestic_hot_water_peak_flow / 24 / 3.6 * 4184 \
* (domestic_hot_water_service_temperature -
average_domestic_hot_water_inlet_temperature)
occupancy = Occupancy(occupancy_density,
None,
@ -157,7 +151,8 @@ class NrcanCatalog(Catalog):
hvac_availability,
heating_schedule,
cooling_schedule)
domestic_hot_water = DomesticHotWater(domestic_hot_water_density,
domestic_hot_water = DomesticHotWater(None,
domestic_hot_water_peak_flow,
domestic_hot_water_service_temperature,
domestic_hot_water_load_schedule)

17
hub/city_model_structure/building_demand/domestic_hot_water.py
View File

@ -14,6 +14,7 @@ class DomesticHotWater:
"""
def __init__(self):
self._density = None
self._peak_flow = None
self._service_temperature = None
self._schedules = None
@ -34,6 +35,22 @@ class DomesticHotWater:
if value is not None:
self._density = float(value)
@property
def peak_flow(self) -> Union[None, float]:
"""
Get domestic hot water peak_flow density in m3 per second and m2
:return: None or float
"""
return self._peak_flow
@peak_flow.setter
def peak_flow(self, value):
"""
Set domestic hot water peak_flow density in m3 per second and m2
:return: None or float
"""
self._peak_flow = value
@property
def service_temperature(self) -> Union[None, float]:
"""

19
hub/city_model_structure/city_object.py
View File

@ -35,6 +35,7 @@ class CityObject:
self._max_z = ConfigurationHelper().min_coordinate
self._centroid = None
self._external_temperature = dict()
self._ground_temperature = dict()
self._global_horizontal = dict()
self._diffuse = dict()
self._beam = dict()
@ -158,6 +159,24 @@ class CityObject:
"""
self._external_temperature = value
# todo: this is the new format we will use to get rid of the data frames
@property
def ground_temperature(self) -> dict:
"""
Get ground temperature under the city object in Celsius at different depths in meters for different time steps
example of use: {month: {0.5: [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]}}
:return: dict{dict{[float]}}
"""
return self._ground_temperature
@ground_temperature.setter
def ground_temperature(self, value):
"""
Set ground temperature under the city object in Celsius at different depths
:param value: dict{dict{[float]}}
"""
self._ground_temperature = value
@property
def global_horizontal(self) -> dict:
"""

4
hub/config/configuration.ini
View File

@ -17,4 +17,6 @@ convective_heat_transfer_coefficient_exterior = 20
#W/mK
soil_conductivity = 3
#m
soil_thickness = 0.5
soil_thickness = 0.5
#C
cold_water_temperature = 10

8
hub/helpers/configuration_helper.py
View File

@ -138,3 +138,11 @@ class ConfigurationHelper:
:return: 0.5
"""
return self._config.getfloat('buildings', 'soil_thickness').real
@property
def cold_water_temperature(self) -> float:
"""
Get configured cold water temperature in Celsius
:return: 10
"""
return self._config.getfloat('buildings', 'cold_water_temperature').real

4
hub/helpers/constants.py
View File

@ -8,13 +8,17 @@ Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
# universal constants
KELVIN = 273.15
WATER_DENSITY = 1000
WATER_HEAT_CAPACITY = 4182
# converters
HOUR_TO_MINUTES = 60
MINUTES_TO_SECONDS = 60
HOUR_TO_SECONDS = 3600
METERS_TO_FEET = 3.28084
BTU_H_TO_WATTS = 0.29307107
KILO_WATTS_HOUR_TO_JULES = 3600000
GALLONS_TO_QUBIC_METERS = 0.0037854117954011185
# time
SECOND = 'second'

11
hub/imports/usage/comnet_usage_parameters.py
View File

@ -19,6 +19,7 @@ from hub.city_model_structure.building_demand.domestic_hot_water import Domestic
from hub.city_model_structure.attributes.schedule import Schedule
from hub.city_model_structure.building_demand.internal_gain import InternalGain
from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
from hub.imports.usage.usage_helper import UsageHelper
class ComnetUsageParameters:
@ -55,7 +56,7 @@ class ComnetUsageParameters:
volume_per_area = internal_zone.volume / internal_zone.area
usage = Usage()
usage.name = usage_name
self._assign_values(usage, archetype_usage, volume_per_area)
self._assign_values(usage, archetype_usage, volume_per_area, building.ground_temperature)
usage.percentage = 1
self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
@ -70,7 +71,7 @@ class ComnetUsageParameters:
raise KeyError('archetype not found')
@staticmethod
def _assign_values(usage, archetype, volume_per_area):
def _assign_values(usage, archetype, volume_per_area, ground_temperature):
# Due to the fact that python is not a typed language, the wrong object type is assigned to
# usage.occupancy when writing usage.occupancy = archetype.occupancy.
# Same happens for lighting and appliances. Therefore, this walk around has been done.
@ -105,6 +106,12 @@ class ComnetUsageParameters:
_domestic_hot_water = DomesticHotWater()
_domestic_hot_water.density = archetype.domestic_hot_water.density
_domestic_hot_water.service_temperature = archetype.domestic_hot_water.service_temperature
cold_temperature = UsageHelper().cold_water_temperature(ground_temperature)
peak_flow = 0
if (archetype.domestic_hot_water.service_temperature - cold_temperature) > 0:
peak_flow = archetype.domestic_hot_water.density / cte.WATER_DENSITY / cte.WATER_HEAT_CAPACITY \
/ (archetype.domestic_hot_water.service_temperature - cold_temperature)
_domestic_hot_water.peak_flow = peak_flow
_domestic_hot_water.schedules = archetype.domestic_hot_water.schedules
usage.domestic_hot_water = _domestic_hot_water

10
hub/imports/usage/nrcan_usage_parameters.py
View File

@ -16,6 +16,7 @@ from hub.city_model_structure.building_demand.appliances import Appliances
from hub.city_model_structure.building_demand.thermal_control import ThermalControl
from hub.city_model_structure.building_demand.domestic_hot_water import DomesticHotWater
from hub.catalog_factories.usage_catalog_factory import UsageCatalogFactory
from hub.imports.usage.usage_helper import UsageHelper
class NrcanUsageParameters:
@ -62,7 +63,7 @@ class NrcanUsageParameters:
volume_per_area = internal_zone.volume / internal_zone.area
usage = Usage()
usage.name = usage_name
self._assign_values(usage, archetype_usage, volume_per_area)
self._assign_values(usage, archetype_usage, volume_per_area, building.ground_temperature)
self._assign_comnet_extra_values(usage, comnet_archetype_usage)
usage.percentage = 1
self._calculate_reduced_values_from_extended_library(usage, archetype_usage)
@ -78,7 +79,7 @@ class NrcanUsageParameters:
raise KeyError('archetype not found')
@staticmethod
def _assign_values(usage, archetype, volume_per_area):
def _assign_values(usage, archetype, volume_per_area, ground_temperature):
if archetype.mechanical_air_change > 0:
usage.mechanical_air_change = archetype.mechanical_air_change
elif archetype.ventilation_rate > 0:
@ -113,8 +114,11 @@ class NrcanUsageParameters:
_control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules
usage.thermal_control = _control
_domestic_hot_water = DomesticHotWater()
_domestic_hot_water.density = archetype.domestic_hot_water.density
_domestic_hot_water.peak_flow = archetype.domestic_hot_water.peak_flow
_domestic_hot_water.service_temperature = archetype.domestic_hot_water.service_temperature
cold_temperature = UsageHelper().cold_water_temperature(ground_temperature)
_domestic_hot_water.density = archetype.domestic_hot_water.peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY \
* (archetype.domestic_hot_water.service_temperature - cold_temperature)
_domestic_hot_water.schedules = archetype.domestic_hot_water.schedules
usage.domestic_hot_water = _domestic_hot_water

43
hub/imports/usage/usage_helper.py Normal file
View File

@ -0,0 +1,43 @@
"""
Usage helper
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2023 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys
from hub.hub_logger import logger
import hub.helpers.constants as cte
from hub.helpers.configuration_helper import ConfigurationHelper as ch
class UsageHelper:
"""
UsageHelper class
"""
@staticmethod
def cold_water_temperature(ground_temperature):
keys = ground_temperature.keys()
depths = ground_temperature[keys[0]].keys()
if keys[0] == cte.YEAR:
# taking the deeper temperature available
_cold_temperature = ground_temperature[cte.YEAR][depths[len(depths-1)]]
elif keys[0] == cte.MONTH:
_cold_temperature = 0
for i in range(0, 12):
# taking the deeper temperature available
_cold_temperature += ground_temperature[cte.MONTH][depths[len(depths-1)]] / 12
elif keys[0] == cte.HOUR:
_cold_temperature = 0
for i in range(0, 8760):
# taking the deeper temperature available
_cold_temperature += ground_temperature[cte.HOUR][depths[len(depths-1)]] / 8760
else:
_cold_temperature = ch().cold_water_temperature
logger.error(f'Cold water temperature could not be calculated. Assigned default value = '
f'{ch().cold_water_temperature} degrees Celsius\n')
sys.stderr.write(f'Cold water temperature could not be calculated. Assigned default value = '
f'{ch().cold_water_temperature} degrees Celsius\n')
return _cold_temperature

8
hub/imports/weather/epw_weather_parameters.py
View File

@ -32,14 +32,13 @@ class EpwWeatherParameters:
_ = file.readline().split(',')
line = file.readline().split(',')
number_records = int(line[1])
depth_measurement_ground_temperature = []
ground_temperature = []
ground_temperature = {}
for i in range(0, number_records):
depth_measurement_ground_temperature.append(line[i*16+2])
depth_measurement_ground_temperature = line[i*16+2]
temperatures = []
for j in range(0, 12):
temperatures.append(line[i*16+j+6])
ground_temperature.append(temperatures)
ground_temperature[depth_measurement_ground_temperature] = temperatures
file.close()
except SystemExit:
sys.stderr.write(f'Error: weather file {self._path} not found. Please download it from '
@ -74,6 +73,7 @@ class EpwWeatherParameters:
sys.exit()
for building in self._city.buildings:
building.ground_temperature[cte.MONTH] = ground_temperature
if cte.HOUR in building.external_temperature:
del building.external_temperature[cte.HOUR]
new_value = pd.DataFrame(self._weather_values[['dry_bulb_temperature_c']].to_numpy(), columns=['epw'])