s_ranjbar/city_retrofit
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Clean up:

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Some old not implemented classes have been removed
Some pep8 improvements done too
This commit is contained in:
Guille Gutierrez 2023-01-26 07:41:56 -05:00
parent 4e0b17d7ee
commit 1b47ea64b5
40 changed files with 67 additions and 696 deletions
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2
hub/catalog_factories/usage_catalog_factory.py
View File

@ -47,4 +47,4 @@ class UsageCatalogFactory:
Enrich the city given to the class using the class given handler
:return: Catalog
"""
return getattr(self, self._catalog_type, lambda: None)
return getattr(self, self._catalog_type, lambda: None)

2
hub/city_model_structure/building_demand/occupant.py
View File

@ -6,8 +6,6 @@ Project Coder Sanam Dabirian sanam.dabirian@mail.concordia.ca
Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import calendar as cal
class Occupant:
"""

5
hub/city_model_structure/building_demand/thermal_zone.py
View File

@ -26,6 +26,7 @@ class ThermalZone:
"""
ThermalZone class
"""
def __init__(self, thermal_boundaries, parent_internal_zone, volume, footprint_area, usage_name=None):
self._id = None
self._parent_internal_zone = parent_internal_zone
@ -69,7 +70,7 @@ class ThermalZone:
for value in usages:
if parent_usage.name == value[1]:
new_usage = copy.deepcopy(parent_usage)
new_usage.percentage = float(value[0])/100
new_usage.percentage = float(value[0]) / 100
self._usages.append(new_usage)
return self._usages
@ -361,7 +362,7 @@ class ThermalZone:
_lighting_density += usage_zone.percentage * usage_zone.lighting.density
if usage_zone.lighting.convective_fraction is not None:
_convective_part += usage_zone.percentage * usage_zone.lighting.density \
* usage_zone.lighting.convective_fraction
* usage_zone.lighting.convective_fraction
_radiative_part += usage_zone.percentage * usage_zone.lighting.density \
* usage_zone.lighting.radiative_fraction
_latent_part += usage_zone.percentage * usage_zone.lighting.density \

1
hub/city_model_structure/building_demand/usage_zone.py
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@ -26,7 +26,6 @@ class UsageZone:
self._internal_gains = None
self._hours_day = None
self._days_year = None
# self._electrical_app_average_consumption_sqm_year = None
self._mechanical_air_change = None
self._occupancy = None
self._lighting = None

4
hub/city_model_structure/bus_system.py
View File

@ -17,8 +17,8 @@ class BusSystem(CityObject):
"""
BusSystem(CityObject) class
"""
def __init__(self, name, surfaces, city_lower_corner):
super().__init__(name, surfaces, city_lower_corner)
def __init__(self, name, surfaces):
super().__init__(name, surfaces)
self._bus_routes = None
self._bus_network = None
self._buses = None

2
hub/city_model_structure/city_object.py
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@ -224,5 +224,3 @@ class CityObject:
:param value: [Sensor]
"""
self._sensors = value

1
hub/city_model_structure/fuel.py
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@ -43,4 +43,3 @@ class Fuel:
:return: str
"""
return self._unit

2
hub/city_model_structure/iot/station.py
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@ -26,7 +26,7 @@ class Station:
return self._id
@property
def _mobile(self):
def mobile(self):
"""
Get if the station is mobile or not
:return: bool

21
hub/city_model_structure/lca_calculations.py
View File

@ -1,21 +0,0 @@
"""
LifeCycleAssessment retrieve the specific Life Cycle Assessment module for the given region
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Atiya atiya.atiya@mail.concordia.ca
"""
from hub.city_model_structure.machine import Machine
class LcaCalculations:
"""
LCA Calculations class
"""
def emission_disposal_machines(self, ):
return Machine.work_efficiency * Machine.energy_consumption_rate * Machine.carbon_emission_factor
def emission_transportation(self, weight, distance ):
return weight * distance * Machine.energy_consumption_rate * Machine.carbon_emission_factor

5
hub/city_model_structure/machine.py
View File

@ -11,8 +11,8 @@ class Machine:
Machine class
"""
def __init__(self, machine_id, name, work_efficiency, work_efficiency_unit, energy_consumption_rate, energy_consumption_unit,
carbon_emission_factor, carbon_emission_unit):
def __init__(self, machine_id, name, work_efficiency, work_efficiency_unit, energy_consumption_rate,
energy_consumption_unit, carbon_emission_factor, carbon_emission_unit):
self._machine_id = machine_id
self._name = name
self._work_efficiency = work_efficiency
@ -85,4 +85,3 @@ class Machine:
:return: str
"""
return self._carbon_emission_unit

2
hub/city_model_structure/network.py
View File

@ -18,7 +18,7 @@ class Network(CityObject):
Generic network class to be used as base for the network models
"""
def __init__(self, name, edges=None, nodes=None):
super().__init__(name, 0, [], None)
super().__init__(name, 0)
if nodes is None:
nodes = []
if edges is None:

2
hub/city_model_structure/subway_entrance.py
View File

@ -12,7 +12,7 @@ class SubwayEntrance(CityObject):
SubwayEntrance(CityObject) class
"""
def __init__(self, name, latitude, longitude):
super().__init__(name, 0, [])
super().__init__(name, 0)
self._name = name
self._latitude = latitude
self._longitude = longitude

8
hub/city_model_structure/vehicle.py
View File

@ -10,7 +10,8 @@ class Vehicle:
Vehicle class
"""
def __init__(self, vehicle_id, name, fuel_consumption_rate, fuel_consumption_unit, carbon_emission_factor, carbon_emission_factor_unit):
def __init__(self, vehicle_id, name, fuel_consumption_rate, fuel_consumption_unit, carbon_emission_factor,
carbon_emission_factor_unit):
self._vehicle_id = vehicle_id
self._name = name
self._fuel_consumption_rate = fuel_consumption_rate
@ -59,10 +60,9 @@ class Vehicle:
return self._carbon_emission_factor
@property
def carbon_emission_unit(self) -> str:
def carbon_emission_factor_unit(self) -> str:
"""
Get carbon emission units
:return: str
"""
return self._carbon_emission_unit
return self._carbon_emission_factor_unit

5
hub/exports/building_energy/energy_ade.py
View File

@ -313,7 +313,8 @@ class EnergyAde:
thermal_zones.append(thermal_zone_dic)
return thermal_zones
def _thermal_boundaries(self, city, thermal_zone):
@staticmethod
def _thermal_boundaries(city, thermal_zone):
thermal_boundaries = []
for thermal_boundary in thermal_zone.thermal_boundaries:
thermal_boundary_dic = {
@ -364,7 +365,7 @@ class EnergyAde:
'@xlink:href': f'#GML_{construction[0]}'
}
if thermal_boundary.thermal_openings is not None:
for opening in thermal_boundary.thermal_openings:
for _ in thermal_boundary.thermal_openings:
opening_construction.append(uuid.uuid4())
thermal_boundary_dic['energy:contains'] = {
'energy:ThermalOpening': {

2
hub/exports/energy_systems/heat_pump_export.py
View File

@ -252,5 +252,3 @@ class HeatPumpExport:
s = pd.Series(["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sept", "Oct", "Nov", "Dec", "Total"])
df = df.set_index([s])
df.to_csv(self._output_path)

1
hub/exports/formats/insel.py
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@ -27,4 +27,3 @@ class Insel(ABC):
def _export(self):
raise NotImplementedError

3
hub/exports/formats/obj.py
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@ -26,7 +26,8 @@ class Obj(Triangular):
file_name_out = self._city.name + '_ground.' + self._triangular_format
file_path_in = (Path(self._path).resolve() / file_name_in).resolve()
file_path_out = (Path(self._path).resolve() / file_name_out).resolve()
scene = GeometryFactory('obj', path=file_path_in).scene
obj = GeometryFactory('obj', path=file_path_in)
scene = obj.scene
scene.rezero()
obj_file = trimesh.exchange.obj.export_obj(scene)
with open(file_path_out, 'w') as file:

20
hub/imports/energy_systems/air_source_hp_parameters.py
View File

@ -2,7 +2,8 @@
AirSourceHeatPumpParameters import the heat pump information
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Peter Yefi peteryefi@gmail.comCode contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
Project Coder Peter Yefi peteryefi@gmail.comCode
contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
@ -41,7 +42,7 @@ class AirSourceHeatPumpParameters:
for sheet, dataframe in heat_pump_dfs.items():
if 'Summary' in sheet:
continue
continue
# Remove nan rows and columns and extract cooling and heating data
# for each sheet
@ -69,8 +70,7 @@ class AirSourceHeatPumpParameters:
Enriches the city with information from file
"""
heat_pump_data = self._read_file()
for (k_cool, v_cool), (k_heat, v_heat) in \
zip(heat_pump_data["cooling"].items(), heat_pump_data["heating"].items()):
for (k_cool, v_cool), (k_heat, v_heat) in zip(heat_pump_data["cooling"].items(), heat_pump_data["heating"].items()):
heat_pump = AirSourceHP()
heat_pump.model = k_cool
h_data = self._extract_heat_pump_data(v_heat)
@ -87,7 +87,8 @@ class AirSourceHeatPumpParameters:
self._city.add_city_object(energy_system)
return self._city
def _extract_heat_pump_data(self, heat_pump_capacity_data: Dict) -> [List, List]:
@staticmethod
def _extract_heat_pump_data(heat_pump_capacity_data: Dict) -> [List, List]:
"""
Fetches a list of metric based data for heat pump for various temperature,
eg. cooling capacity data for 12 capacity heat pump
@ -123,15 +124,16 @@ class AirSourceHeatPumpParameters:
x_values = x_values.tolist()
# convert list of lists to one list
hp_data = [i/j for i, j in
zip(list(itertools.chain.from_iterable(heat_pump_data[0])),
list(itertools.chain.from_iterable(heat_pump_data[1])))]
hp_data = [i / j for i, j in
zip(list(itertools.chain.from_iterable(heat_pump_data[0])),
list(itertools.chain.from_iterable(heat_pump_data[1])))]
# Compute heat output coefficients
popt, _ = curve_fit(self._objective_function, [x_values, out_temp], hp_data)
return popt.tolist()
def _objective_function(self, xdata: List, a1: float, a2: float, a3: float, a4: float, a5: float, a6: float) -> float:
@staticmethod
def _objective_function(xdata: List, a1: float, a2: float, a3: float, a4: float, a5: float, a6: float) -> float:
"""
Objective function for computing coefficients
:param xdata:

10
hub/imports/energy_systems/water_to_water_hp_parameters.py
View File

@ -71,7 +71,8 @@ class WaterToWaterHPParameters:
# range values for extracting data
return data
def _extract_hp_data(self, df, columns, ranges):
@staticmethod
def _extract_hp_data(df, columns, ranges):
"""
Extract variable specific (LWT, PD or TC) data from water to water hp
:param df: the dataframe
@ -88,7 +89,8 @@ class WaterToWaterHPParameters:
return data.dropna().values.tolist()
def _extract_flow_and_ewt(self, df, ranges, columns, flow_rates):
@staticmethod
def _extract_flow_and_ewt(df, ranges, columns, flow_rates):
"""
Create the flow and ewt data based on the length of the various
columns for the variables being extracted
@ -148,7 +150,8 @@ class WaterToWaterHPParameters:
demand)
return popt.tolist()
def _objective_function(self, xdata: List, a1: float, a2: float, a3: float, a4: float, a5: float, a6: float,
@staticmethod
def _objective_function(xdata: List, a1: float, a2: float, a3: float, a4: float, a5: float, a6: float,
a7: float, a8: float, a9: float, a10: float, a11: float) -> float:
"""
Objective function for computing coefficients
@ -169,4 +172,3 @@ class WaterToWaterHPParameters:
x, y, t = xdata
return (a1 * x ** 2) + (a2 * x) + (a3 * y ** 2) + (a4 * y) + (a5 * t ** 2) + (a6 * t) + (a7 * x * y) + (
a8 * x * t) + (a9 * y * t) + (a10 * x * y * t) + a11

8
hub/imports/geometry/citygml.py
View File

@ -7,12 +7,12 @@ Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
import numpy as np
import xmltodict
from hub.city_model_structure.city import City
from hub.city_model_structure.building import Building
from hub.city_model_structure.city import City
from hub.city_model_structure.parts_consisting_building import PartsConsistingBuilding
from hub.helpers.geometry_helper import GeometryHelper
from hub.imports.geometry.citygml_classes.citygml_lod2 import CityGmlLod2
from hub.imports.geometry.citygml_classes.citygml_lod1 import CityGmlLod1
from hub.imports.geometry.citygml_classes.citygml_lod2 import CityGmlLod2
class CityGml:
@ -26,7 +26,7 @@ class CityGml:
self._lod2_tags = ['lod2Solid', 'lod2MultiSurface', 'lod2MultiCurve']
self._extrusion_height_field = extrusion_height_field
self._year_of_construction_field = year_of_construction_field
if function_field == None:
if function_field is None:
function_field = 'function'
self._function_field = function_field

1
hub/imports/geometry/gpandas.py
View File

@ -57,6 +57,7 @@ class GPandas:
"""
if self._city is None:
self._city = City(self._lower_corner, self._upper_corner, self._srs_name)
lod = 0
for scene_index, bldg in self._scene.iterrows():
polygon = bldg.geometry
height = float(bldg['height'])

1
hub/imports/geometry/obj.py
View File

@ -51,6 +51,7 @@ class Obj:
"""
Get city out of an obj file
"""
lod = 0
if self._city is None:
# todo: refactor this method to clearly choose the obj type
# todo: where do we get this information from?

9
hub/imports/life_cycle_assessment/lca_machine.py
View File

@ -8,6 +8,7 @@ import xmltodict
from pathlib import Path
from hub.city_model_structure.machine import Machine
class LcaMachine:
def __init__(self, city, base_path):
self._city = city
@ -22,6 +23,8 @@ class LcaMachine:
self._lca = xmltodict.parse(xml.read())
for machine in self._lca["library"]["machines"]['machine']:
self._city.machines.append(Machine(machine['@id'], machine['@name'], machine['work_efficiency']['#text'],
machine['work_efficiency']['@unit'], machine['energy_consumption_rate']['#text'],
machine['energy_consumption_rate']['@unit'], machine['carbon_emission_factor']['#text'],
machine['carbon_emission_factor']['@unit']))
machine['work_efficiency']['@unit'],
machine['energy_consumption_rate']['#text'],
machine['energy_consumption_rate']['@unit'],
machine['carbon_emission_factor']['#text'],
machine['carbon_emission_factor']['@unit']))

21
hub/imports/life_cycle_assessment/lca_material.py
View File

@ -8,6 +8,7 @@ import xmltodict
from pathlib import Path
from hub.city_model_structure.lca_material import LcaMaterial as LMaterial
class LcaMaterial:
def __init__(self, city, base_path):
self._city = city
@ -26,15 +27,15 @@ class LcaMaterial:
_material.type = material['@type']
_material.id = material['@id']
_material.name = material['@name']
_material.density=material['density']['#text']
_material.density_unit=material['density']['@unit']
_material.embodied_carbon=material['embodied_carbon']['#text']
_material.embodied_carbon_unit=material['embodied_carbon']['@unit']
_material.recycling_ratio=material['recycling_ratio']
_material.onsite_recycling_ratio=material['onsite_recycling_ratio']
_material.company_recycling_ratio=material['company_recycling_ratio']
_material.landfilling_ratio=material['landfilling_ratio']
_material.cost=material['cost']['#text']
_material._cost_unit=material['cost']['@unit']
_material.density = material['density']['#text']
_material.density_unit = material['density']['@unit']
_material.embodied_carbon = material['embodied_carbon']['#text']
_material.embodied_carbon_unit = material['embodied_carbon']['@unit']
_material.recycling_ratio = material['recycling_ratio']
_material.onsite_recycling_ratio = material['onsite_recycling_ratio']
_material.company_recycling_ratio = material['company_recycling_ratio']
_material.landfilling_ratio = material['landfilling_ratio']
_material.cost = material['cost']['#text']
_material._cost_unit = material['cost']['@unit']
self._city.lca_materials.append(_material)

1
hub/imports/life_cycle_assessment/lca_vehicle.py
View File

@ -26,4 +26,3 @@ class LcaVehicle:
vehicle['fuel_consumption_rate']['@unit'],
vehicle['carbon_emission_factor']['#text'],
vehicle['carbon_emission_factor']['@unit']))

2
hub/imports/life_cycle_assessment_factory.py
View File

@ -16,7 +16,7 @@ from hub.hub_logger import logger
class LifeCycleAssessment:
"""
Life cicle analize factory class
Life cycle assessment factory class
"""
def __init__(self, handler, city, base_path=None):
if base_path is None:

37
hub/imports/sensors/concordia_gas_flow.py
View File

@ -1,37 +0,0 @@
"""
Concordia gas flow
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
from hub.imports.sensors.concordia_file_report import ConcordiaFileReport
from city_model_structure.iot.concordia_gas_flow_sensor import ConcordiaGasFlowSensor
class ConcordiaGasFlow(ConcordiaFileReport):
"""
Concordia gas flow sensor class
"""
def __init__(self, city, end_point, base_path):
super().__init__(city, end_point, base_path, 'concordia_gas_flow_db.json')
for city_object in city.city_objects:
self._assign_sensor_to_object(city_object)
def _assign_sensor_to_object(self, obj):
for i in range(len(self._city_object)):
if self._city_object[i] == obj.name and self._sensors[i] in self._sensor_point:
building_measures = [self._measures["Date time"], self._measures[self._sensor_point[self._sensors[i]]]]
building_headers = ["Date time", "Gas Flow Cumulative Monthly"]
building_energy_consumption = pd.concat(building_measures, keys=building_headers, axis=1)
sensor = ConcordiaGasFlowSensor(self._sensors[i])
sensor_exist = False
for j in range(len(obj.sensors)):
if obj.sensors[j].name is sensor.name:
obj.sensors[j].add_period(building_energy_consumption)
sensor_exist = True
break
if not sensor_exist:
sensor.add_period(building_energy_consumption)
obj.sensors.append(sensor)

36
hub/imports/sensors/concordia_temperature.py
View File

@ -1,36 +0,0 @@
"""
Concordia temperature
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
from hub.imports.sensors.concordia_file_report import ConcordiaFileReport
from city_model_structure.iot.concordia_temperature_sensor import ConcordiaTemperatureSensor
class ConcordiaTemperature(ConcordiaFileReport):
"""
Concordia temperature sensor class
"""
def __init__(self, city, end_point, base_path):
super().__init__(city, end_point, base_path, 'concordia_temperature_db.json')
for city_object in city.city_objects:
self._assign_sensor_to_object(city_object)
def _assign_sensor_to_object(self, obj):
for i in range(len(self._city_object)):
if self._city_object[i] == obj.name and self._sensors[i] in self._sensor_point:
building_measures = [self._measures["Date time"], self._measures[self._sensor_point[self._sensors[i]]]]
building_headers = ["Date time", "Temperature"]
building_energy_consumption = pd.concat(building_measures, keys=building_headers, axis=1)
sensor = ConcordiaTemperatureSensor(self._sensors[i])
sensor_exist = False
for j in range(len(obj.sensors)):
if obj.sensors[j].name is sensor.name:
obj.sensors[j].add_period(building_energy_consumption)
sensor_exist = True
break
if not sensor_exist:
sensor.add_period(building_energy_consumption)
obj.sensors.append(sensor)

40
hub/imports/usage/ca_usage_parameters.py
View File

@ -1,40 +0,0 @@
"""
CaUsageParameters model the usage properties
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys
from hub.imports.geometry.helpers.geometry_helper import GeometryHelper
from hub.imports.usage.hft_usage_interface import HftUsageInterface
class HftUsageParameters(HftUsageInterface):
"""
CaUsageParameters class
"""
def __init__(self, city, base_path):
super().__init__(base_path, 'ca_archetypes_reduced.xml')
self._city = city
def enrich_buildings(self):
"""
Returns the city with the usage parameters assigned to the buildings
:return:
"""
city = self._city
for building in city.buildings:
usage = GeometryHelper().libs_usage_from_libs_function(building.function)
try:
archetype = self._search_archetype(usage)
except KeyError:
sys.stderr.write(f'Building {building.name} has unknown archetype for building function:'
f' {building.function}, that assigns building usage as '
f'{GeometryHelper().libs_usage_from_libs_function(building.function)}\n')
return
for internal_zone in building.internal_zones:
usage_zone = self._assign_values(building.function, archetype)
usage_zone.percentage = 1
internal_zone.usage_zones = [usage_zone]

67
hub/imports/usage/data_classes/hft_internal_gains_archetype.py
View File

@ -1,67 +0,0 @@
"""
HftInternalGainsArchetype stores internal gains information, complementing the HftUsageZoneArchetype class
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
class HftInternalGainsArchetype:
"""
HftInternalGainsArchetype class
"""
def __init__(self, internal_gains_type=None, average_internal_gain=None, convective_fraction=None, \
radiative_fraction=None, latent_fraction=None):
self._type = internal_gains_type
self._average_internal_gain = average_internal_gain
self._convective_fraction = convective_fraction
self._radiative_fraction = radiative_fraction
self._latent_fraction = latent_fraction
@property
def type(self):
"""
Get internal gains type
:return: string
"""
return self._type
@type.setter
def type(self, value):
"""
Set internal gains type
:param value: string
"""
self._type = value
@property
def average_internal_gain(self):
"""
Get internal gains average internal gain in W/m2
:return: float
"""
return self._average_internal_gain
@property
def convective_fraction(self):
"""
Get internal gains convective fraction
:return: float
"""
return self._convective_fraction
@property
def radiative_fraction(self):
"""
Get internal gains radiative fraction
:return: float
"""
return self._radiative_fraction
@property
def latent_fraction(self):
"""
Get internal gains latent fraction
:return: float
"""
return self._latent_fraction

99
hub/imports/usage/data_classes/usage_zone_archetype.py
View File

@ -1,99 +0,0 @@
"""
UsageZoneArchetype stores usage information by usage type
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from typing import List
from hub.imports.usage.data_classes.hft_internal_gains_archetype import HftInternalGainsArchetype
class UsageZoneArchetype:
"""
UsageZoneArchetype class
"""
def __init__(self, usage=None, internal_gains=None, hours_day=None, days_year=None,
electrical_app_average_consumption_sqm_year=None, mechanical_air_change=None, occupancy=None,
lighting=None, appliances=None):
self._usage = usage
self._internal_gains = internal_gains
self._hours_day = hours_day
self._days_year = days_year
self._electrical_app_average_consumption_sqm_year = electrical_app_average_consumption_sqm_year
self._mechanical_air_change = mechanical_air_change
self._occupancy = occupancy
self._lighting = lighting
self._appliances = appliances
@property
def internal_gains(self) -> List[HftInternalGainsArchetype]:
"""
Get usage zone internal gains from not detailed heating source in W/m2
:return: [InternalGain]
"""
return self._internal_gains
@property
def hours_day(self):
"""
Get usage zone usage hours per day
:return: float
"""
return self._hours_day
@property
def days_year(self):
"""
Get usage zone usage days per year
:return: float
"""
return self._days_year
@property
def mechanical_air_change(self):
"""
Set usage zone mechanical air change in air change per hour (ACH)
:return: float
"""
return self._mechanical_air_change
@property
def usage(self):
"""
Get usage zone usage
:return: str
"""
return self._usage
@property
def electrical_app_average_consumption_sqm_year(self):
"""
Get average consumption of electrical appliances in Joules per m2 and year (J/m2yr)
:return: float
"""
return self._electrical_app_average_consumption_sqm_year
@property
def occupancy(self):
"""
Get occupancy data
:return: Occupancy
"""
return self._occupancy
@property
def lighting(self):
"""
Get lighting data
:return: Lighting
"""
return self._lighting
@property
def appliances(self):
"""
Get appliances data
:return: Appliances
"""
return self._appliances

280
hub/imports/usage/hft_usage_interface.py
View File

@ -1,280 +0,0 @@
"""
Hft-based interface, it reads format defined within the CERC team (based on that one used in SimStadt and developed by
the IAF team at hft-Stuttgart)
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import xmltodict
import copy
from hub.city_model_structure.building_demand.usage_zone import UsageZone
from hub.city_model_structure.building_demand.internal_gain import InternalGain
from hub.city_model_structure.building_demand.occupancy import Occupancy
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.attributes.schedule import Schedule
import hub.helpers.constants as cte
from hub.imports.usage.helpers.usage_helper import UsageHelper
class HftUsageInterface:
"""
HftUsageInterface abstract class
"""
def __init__(self, base_path, usage_file='ca_library_reduced.xml'):
path = str(base_path / usage_file)
self._usage_archetypes = []
with open(path) as xml:
self._archetypes = xmltodict.parse(xml.read(), force_list=('zoneUsageVariant', 'zoneUsageType'))
for zone_usage_type in self._archetypes['buildingUsageLibrary']['zoneUsageType']:
usage = zone_usage_type['id']
usage_archetype = self._parse_zone_usage_type(usage, zone_usage_type)
self._usage_archetypes.append(usage_archetype)
if 'zoneUsageVariant' in zone_usage_type:
for usage_zone_variant in zone_usage_type['zoneUsageVariant']:
usage = usage_zone_variant['id']
usage_archetype_variant = self._parse_zone_usage_variant(usage, usage_archetype, usage_zone_variant)
self._usage_archetypes.append(usage_archetype_variant)
@staticmethod
def _parse_zone_usage_type(usage, zone_usage_type):
usage_zone_archetype = UsageZone()
usage_zone_archetype.usage = usage
if 'occupancy' in zone_usage_type:
_occupancy = Occupancy()
_occupancy.occupancy_density = zone_usage_type['occupancy']['occupancyDensity'] #todo: check units
if 'internGains' in zone_usage_type['occupancy']:
_internal_gain = InternalGain()
_internal_gain.latent_fraction = zone_usage_type['occupancy']['internGains']['latentFraction']
_internal_gain.convective_fraction = zone_usage_type['occupancy']['internGains']['convectiveFraction']
_internal_gain.average_internal_gain = zone_usage_type['occupancy']['internGains']['averageInternGainPerSqm']
_internal_gain.radiative_fraction = zone_usage_type['occupancy']['internGains']['radiantFraction']
if 'load' in zone_usage_type['occupancy']['internGains']:
_schedule = Schedule()
_schedule.type = 'internal gains load'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = zone_usage_type['occupancy']['internGains']['load']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_internal_gain.schedules = [_schedule]
usage_zone_archetype.internal_gains = [_internal_gain]
usage_zone_archetype.hours_day = zone_usage_type['occupancy']['usageHoursPerDay']
usage_zone_archetype.days_year = zone_usage_type['occupancy']['usageDaysPerYear']
usage_zone_archetype.occupancy = _occupancy
if 'endUses' in zone_usage_type:
_thermal_control = ThermalControl()
if 'space_heating' in zone_usage_type['endUses']:
_thermal_control.mean_heating_set_point = \
zone_usage_type['endUses']['space_heating']['heatingSetPointTemperature']
_thermal_control.heating_set_back = zone_usage_type['endUses']['space_heating']['heatingSetBackTemperature']
if 'schedule' in zone_usage_type['endUses']['space_heating']:
_schedule = Schedule()
_schedule.type = 'heating temperature'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = zone_usage_type['endUses']['space_heating']['schedule']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_thermal_control.heating_set_point_schedules = [_schedule]
if 'space_cooling' in zone_usage_type['endUses']:
_thermal_control.mean_cooling_set_point = \
zone_usage_type['endUses']['space_cooling']['coolingSetPointTemperature']
if 'schedule' in zone_usage_type['endUses']['space_cooling']:
_schedule = Schedule()
_schedule.type = 'cooling temperature'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = zone_usage_type['endUses']['space_cooling']['schedule']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_thermal_control.cooling_set_point_schedules = [_schedule]
usage_zone_archetype.thermal_control = _thermal_control
if 'ventilation' in zone_usage_type['endUses'] and zone_usage_type['endUses']['ventilation'] is not None:
usage_zone_archetype.mechanical_air_change = \
zone_usage_type['endUses']['ventilation']['mechanicalAirChangeRate']
# todo: not used or assigned anywhere
if 'domestic_hot_water' in zone_usage_type['endUses']:
# liters to cubic meters
dhw_average_volume_pers_day = float(
zone_usage_type['endUses']['domestic_hot_water']['averageVolumePerPersAndDay']) / 1000
dhw_preparation_temperature = zone_usage_type['endUses']['domestic_hot_water']['preparationTemperature']
if 'all_electrical_appliances' in zone_usage_type['endUses']:
if 'averageConsumptionPerSqmAndYear' in zone_usage_type['endUses']['all_electrical_appliances']:
# kWh to J
usage_zone_archetype.electrical_app_average_consumption_sqm_year = \
float(zone_usage_type['endUses']['all_electrical_appliances']['averageConsumptionPerSqmAndYear']) \
* cte.KILO_WATTS_HOUR_TO_JULES
if 'appliance' in zone_usage_type:
_appliances = Appliances()
_appliances.density = zone_usage_type['appliance']['#text'] #todo: check units
usage_zone_archetype.appliances = _appliances
return usage_zone_archetype
@staticmethod
def _parse_zone_usage_variant(usage, usage_zone, usage_zone_variant):
# the variants mimic the inheritance concept from OOP
usage_zone_archetype = copy.deepcopy(usage_zone)
usage_zone_archetype.usage = usage
if 'occupancy' in usage_zone_variant:
_occupancy = Occupancy()
if 'occupancyDensity' in usage_zone_variant['occupancy']:
_occupancy.occupancy_density = usage_zone_variant['occupancy']['occupancyDensity'] # todo: check units
if 'usageHoursPerDay' in usage_zone_variant['occupancy']:
usage_zone_archetype.hours_day = usage_zone_variant['occupancy']['usageHoursPerDay']
if 'usageDaysPerYear' in usage_zone_variant['occupancy']:
usage_zone_archetype.days_year = usage_zone_variant['occupancy']['usageDaysPerYear']
usage_zone_archetype.occupancy = _occupancy
if 'internGains' in usage_zone_variant['occupancy']:
_internal_gain = InternalGain()
if 'latentFraction' in usage_zone_variant['occupancy']['internGains']:
_internal_gain.latent_fraction = usage_zone_variant['occupancy']['internGains']['latentFraction']
if 'convectiveFraction' in usage_zone_variant['occupancy']['internGains']:
_internal_gain.convective_fraction = usage_zone_variant['occupancy']['internGains']['convectiveFraction']
if 'averageInternGainPerSqm' in usage_zone_variant['occupancy']['internGains']:
_internal_gain.average_internal_gain = \
usage_zone_variant['occupancy']['internGains']['averageInternGainPerSqm']
if 'radiantFraction' in usage_zone_variant['occupancy']['internGains']:
_internal_gain.radiative_fraction = usage_zone_variant['occupancy']['internGains']['radiantFraction']
if 'load' in usage_zone_variant['occupancy']['internGains']:
_schedule = Schedule()
_schedule.type = 'internal gains load'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = usage_zone_variant['occupancy']['internGains']['load']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_internal_gain.schedules = [_schedule]
usage_zone_archetype.internal_gains = [_internal_gain]
if 'endUses' in usage_zone_variant:
_thermal_control = ThermalControl()
if 'space_heating' in usage_zone_variant['endUses']:
if 'heatingSetPointTemperature' in usage_zone_variant['endUses']['space_heating']:
_thermal_control.mean_heating_set_point = \
usage_zone_variant['endUses']['space_heating']['heatingSetPointTemperature']
if 'heatingSetBackTemperature' in usage_zone_variant['endUses']['space_heating']:
_thermal_control.heating_set_back = usage_zone_variant['endUses']['space_heating']['heatingSetBackTemperature']
if 'schedule' in usage_zone_variant['endUses']['space_heating']:
_schedule = Schedule()
_schedule.type = 'heating temperature'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = usage_zone_variant['endUses']['space_heating']['schedule']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_thermal_control.heating_set_point_schedules = [_schedule]
if 'space_cooling' in usage_zone_variant['endUses'] and \
usage_zone_variant['endUses']['space_cooling'] is not None:
if 'coolingSetPointTemperature' in usage_zone_variant['endUses']['space_cooling']:
_thermal_control.mean_cooling_set_point = \
usage_zone_variant['endUses']['space_cooling']['coolingSetPointTemperature']
if 'schedule' in usage_zone_variant['endUses']['space_cooling']:
_schedule = Schedule()
_schedule.type = 'cooling temperature'
_schedule.time_range = cte.DAY
_schedule.time_step = cte.HOUR
_schedule.data_type = cte.ANY_NUMBER
_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
cte.SUNDAY]
_values = usage_zone_variant['endUses']['space_cooling']['schedule']['weekDayProfile']['values']
while ' ' in _values:
_values = _values.replace(' ', ' ')
_values = _values.split()
_values_float = []
for _value in _values:
_values_float.append(float(_value))
_schedule.values = _values_float
_thermal_control.cooling_set_point_schedules = [_schedule]
usage_zone_archetype.thermal_control = _thermal_control
if 'ventilation' in usage_zone_variant['endUses'] and usage_zone_variant['endUses']['ventilation'] is not None:
usage_zone_archetype.mechanical_air_change = \
usage_zone_variant['endUses']['ventilation']['mechanicalAirChangeRate']
if 'appliance' in usage_zone_variant:
_appliances = Appliances()
_appliances.density = usage_zone_variant['appliance']['#text'] # todo: check units
usage_zone_archetype.appliances = _appliances
return usage_zone_archetype
def _search_archetype(self, libs_usage):
building_usage = UsageHelper().hft_from_libs_usage(libs_usage)
for building_archetype in self._usage_archetypes:
if building_archetype.usage == building_usage:
return building_archetype
return None
@staticmethod
def _assign_values(usage, archetype):
usage_zone = UsageZone()
usage_zone.usage = usage
usage_zone.internal_gains = copy.deepcopy(archetype.internal_gains)
usage_zone.mechanical_air_change = archetype.mechanical_air_change
usage_zone.occupancy = copy.deepcopy(archetype.occupancy)
usage_zone.appliances = copy.deepcopy(archetype.appliances)
usage_zone.thermal_control = copy.deepcopy(archetype.thermal_control)
usage_zone.days_year = archetype.days_year
usage_zone.hours_day = archetype.hours_day
return usage_zone

42
hub/imports/usage/hft_usage_parameters.py
View File

@ -1,42 +0,0 @@
"""
HftUsageParameters model the usage properties
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys
from hub.imports.geometry.helpers.geometry_helper import GeometryHelper
from hub.imports.usage.hft_usage_interface import HftUsageInterface
from hub.imports.usage.helpers.usage_helper import UsageHelper
class HftUsageParameters(HftUsageInterface):
"""
HftUsageParameters class
"""
def __init__(self, city, base_path):
super().__init__(base_path, 'de_library.xml')
self._city = city
def enrich_buildings(self):
"""
Returns the city with the usage parameters assigned to the buildings
:return:
"""
city = self._city
for building in city.buildings:
usage = GeometryHelper().libs_usage_from_libs_function(building.function)
try:
archetype = self._search_archetype(usage)
except KeyError:
sys.stderr.write(f'Building {building.name} has unknown archetype for building function:'
f' {building.function}, that assigns building usage as '
f'{GeometryHelper().libs_usage_from_libs_function(building.function)}\n')
return
for internal_zone in building.internal_zones:
libs_usage = GeometryHelper().libs_usage_from_libs_function(building.function)
usage_zone = self._assign_values(UsageHelper().hft_from_libs_usage(libs_usage), archetype)
usage_zone.percentage = 1
internal_zone.usage_zones = [usage_zone]

2
hub/imports/weather/epw_weather_parameters.py
View File

@ -28,7 +28,7 @@ class EpwWeatherParameters:
city.longitude = line[7]
city.time_zone = line[8]
for i in range(0, 2):
line = file.readline().split(',')
_ = file.readline().split(',')
line = file.readline().split(',')
number_records = int(line[1])
depth_measurement_ground_temperature = []

6
hub/persistence/base_repo.py
View File

@ -19,9 +19,3 @@ class BaseRepo:
self.session = Session(self.engine)
except ValueError as err:
print(f'Missing value for credentials: {err}')

3
hub/persistence/db_setup.py
View File

@ -23,7 +23,8 @@ class DBSetup:
self._user_repo = UserRepo(db_name=db_name, app_env=app_env, dotenv_path=dotenv_path)
self._create_admin_user(self._user_repo)
def _create_admin_user(self, user_repo):
@staticmethod
def _create_admin_user(user_repo):
email = 'admin@hub.com'
password = 'HubAdmin#!98'
print('Creating default admin user...')

2
hub/persistence/models/city.py
View File

@ -46,5 +46,3 @@ class City(Base):
u_corner = u_corner.tolist() if type(u_corner) == np.ndarray else u_corner
self.lower_corner = l_corner
self.upper_corner = u_corner

3
hub/persistence/models/heat_pump_simulation.py
View File

@ -81,6 +81,3 @@ class HeatPumpSimulation(Base):
self.monthly_electricity_demand = monthly_elec_demand
self.daily_fossil_fuel_consumption = daily_fossil
self.monthly_fossil_fuel_consumption = monthly_fossil

4
hub/persistence/repositories/user_repo.py
View File

@ -41,7 +41,7 @@ class UserRepo(BaseRepo):
self.session.commit()
return user
except SQLAlchemyError as err:
logger.error(f'An error occured while creating user: {err}')
logger.error(f'An error occurred while creating user: {err}')
else:
return {'message': f'user with {email} email already exists'}
@ -63,7 +63,7 @@ class UserRepo(BaseRepo):
self.session.commit()
except SQLAlchemyError as err:
logger.error(f'Error while updating user: {err}')
return {'err_msg': 'Error occured while updated user'}
return {'err_msg': 'Error occurred while updated user'}
def get_by_email(self, email: str) -> [User]:
"""

1
hub/requirements.txt → requirements.txt
View File

@ -22,3 +22,4 @@ bcrypt==4.0.1
shapely
geopandas
triangle