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https://rs-loy-gitlab.concordia.ca/PMAU/DynamicBuildingSimulation.git
synced 2024-11-14 15:00:29 -05:00
erased populate and created enrich in libs.helpers.
add new constants to helpers.constants
This commit is contained in:
Pilar
parent
22b32cbb8e
commit
fc9d7ef307
116
main.py
116
main.py
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@ -1,15 +1,18 @@
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import sys
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import ast
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from insel.insel import Insel
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from pathlib import Path
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from populate import Populate
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from helpers.enrich_city import EnrichCity
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from simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
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from imports.weather_factory import WeatherFactory
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from insel.templates.thermal_demand_dynamic_simulation import ThermalDemandDynamicSimulation as Templates
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from helpers.simulation_parameters import SimulationParameters as Sp
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import helpers.constants as cte
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from imports.geometry_factory import GeometryFactory
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from imports.geometry_feeders.helpers.geometry_helper import GeometryHelper
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from imports.geometry.helpers.geometry_helper import GeometryHelper
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from city_model_structure.city import City
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from city_model_structure.building import Building
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from city_model_structure.attributes.polygon import Polygon
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from city_model_structure.attributes.surface import Surface
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name_gml = 'one_building_in_kelowna.gml'
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function_format = 'hft'
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@ -24,56 +27,83 @@ full_path_gml = (example_path / 'tests' / 'tests_data' / name_gml).resolve()
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outputs_path = (example_path / 'tests' / 'tests_outputs').resolve()
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tmp_path = (example_path / 'tests' / 'tmp').resolve()
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weather_path = (Path(__file__).parent.parent / 'libs' / 'data' / 'weather').resolve()
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keep_files = True
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keep_files = False
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pickle_created = False
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pickle_file = 'tests/tests_data/one_building_in_kelowna.pickle'
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# Initialize the city model and add thermal- and usage-related parameters
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# todo: add several steps:
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# - simplification of the data model (for all work-flows)
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# - internal zoning of buildings (for dynamic simulation only)
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city = GeometryFactory('citygml', full_path_gml).city
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for building in city.buildings:
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if function_format == 'hft':
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building.function = GeometryHelper.hft_to_function[building.function]
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elif function_format == 'pluto':
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building.function = GeometryHelper.pluto_to_function[building.function]
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# todo: simplification of the data model
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populated_city = Populate(city).populated_city(construction_format, usage_format, schedules_format)
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if not pickle_created:
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city = GeometryFactory('citygml', full_path_gml).city
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weather_format = 'epw'
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_path / f'{climate_reference_city}.cli').resolve()
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WeatherFactory(weather_format, populated_city, base_path=weather_path, file_name=weather_file_name).enrich()
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for building in populated_city.buildings:
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if cte.HOUR not in building.external_temperature:
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print('No external temperature found')
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sys.exit()
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max_buildings_handled_by_sra = 500
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for building in city.buildings:
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for surface in building.surfaces:
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surface.swr = 0.2
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path = (example_path / 'tests').resolve()
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sra = SimplifiedRadiosityAlgorithm(city, path, weather_file_name)
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total_number_of_buildings = len(city.buildings)
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if total_number_of_buildings > max_buildings_handled_by_sra:
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radius = 80
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# Building division by storey
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for building in city.buildings:
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new_city = city.region(building.centroid, radius)
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sra_new = SimplifiedRadiosityAlgorithm(new_city, path, weather_file_name)
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sra_new.call_sra(weather_format, keep_files=keep_files)
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sra_new.set_irradiance_surfaces(populated_city, building_name=building.name)
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building.average_storey_height = 1.5
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building.storeys_above_ground = 2
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storeys = building.storeys
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if len(storeys) != len(building.thermal_zones):
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# todo:assign one thermal zone per storey
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for storey in storeys:
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surfaces = []
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for face in storey.faces:
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# todo: review for obj with windows
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points = []
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for vertex_index in face:
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points.append(storey.vertices[vertex_index])
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solid_polygon = Polygon(points)
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perimeter_polygon = solid_polygon
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surface = Surface(solid_polygon, perimeter_polygon)
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surfaces.append(surface)
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weather_format = 'epw'
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city.climate_reference_city = climate_reference_city
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city.climate_file = (tmp_path / f'{climate_reference_city}.cli').resolve()
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WeatherFactory(weather_format, city, base_path=weather_path, file_name=weather_file_name).enrich()
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for building in city.buildings:
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if cte.HOUR not in building.external_temperature:
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print('No external temperature found')
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sys.exit()
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max_buildings_handled_by_sra = 500
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for building in city.buildings:
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for surface in building.surfaces:
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surface.swr = 0.2
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path = (example_path / 'tests').resolve()
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sra = SimplifiedRadiosityAlgorithm(city, path, weather_file_name)
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total_number_of_buildings = len(city.buildings)
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if total_number_of_buildings > max_buildings_handled_by_sra:
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radius = 80
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for building in city.buildings:
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new_city = city.region(building.centroid, radius)
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sra_new = SimplifiedRadiosityAlgorithm(new_city, path, weather_file_name)
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sra_new.call_sra(weather_format, keep_files=keep_files)
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sra_new.set_irradiance_surfaces(city, building_name=building.name)
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else:
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sra.call_sra(weather_format, keep_files=keep_files)
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sra.set_irradiance_surfaces(city, mode=1)
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# print(city.buildings[0].surfaces[1].global_irradiance['hour'].sra)
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for building in city.buildings:
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if function_format == 'hft':
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building.function = GeometryHelper.hft_to_function[building.function]
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elif function_format == 'pluto':
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building.function = GeometryHelper.pluto_to_function[building.function]
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city = EnrichCity(city).enriched_city(construction_format, usage_format, schedules_format)
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city.save(pickle_file)
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else:
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sra.call_sra(weather_format, keep_files=keep_files)
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sra.set_irradiance_surfaces(populated_city, mode=1)
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print(city.buildings[0].surfaces[1].global_irradiance)
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city = City.load(pickle_file)
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# todo: when the enrichment step goes after SRA, check whether srw has changed
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# after reading the construction library or not
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quit()
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# Demand calculation (one model per building)
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for city_object in city.city_objects:
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full_path_out = (outputs_path / city_object.name).resolve()
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(example_path / 'third_party_files/sra').resolve()
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full_path_wea = (example_path / 'third_party_files/insel' / (city_object.name + '.weather')).resolve()
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full_path_ig = (example_path / 'third_party_files/insel' / (city_object.name + '.ig')).resolve()
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full_path_wea = (tmp_path / (city_object.name + '.weather')).resolve()
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full_path_ig = (tmp_path / (city_object.name + '.ig')).resolve()
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insel_file_name = city_object.name + '.insel'
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try:
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69
populate.py
69
populate.py
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@ -1,69 +0,0 @@
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"""
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Populate city
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
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"""
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from imports.construction_factory import ConstructionFactory
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from imports.usage_factory import UsageFactory
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from imports.schedules_factory import SchedulesFactory
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class Populate:
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def __init__(self, city):
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self._city = city
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self._populated_city = None
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self._errors = []
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@property
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def errors(self):
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return self._errors
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def populated_city(self, construction_format, usage_format, schedules_format):
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if self._populated_city is None:
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self._errors = []
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print('original:', len(self._city.buildings))
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# Step 2.1: Thermal parameters
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ConstructionFactory(construction_format, self._city).enrich()
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for building in self._city.buildings:
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# infiltration_rate_system_off is a mandatory parameter.
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# If it is not returned, extract the building from the calculation list
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if building.thermal_zones[0].infiltration_rate_system_off is None:
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self._city.remove_city_object(building)
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if self._city.buildings is None:
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self._errors.append('no archetype found per construction')
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self._populated_city = self._city
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return self._populated_city
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print('enriched with construction:', len(self._city.buildings))
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# Step 2.2: Usage parameters
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UsageFactory(usage_format, self._city).enrich()
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for building in self._city.buildings:
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# At least one thermal zone must be created.
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# If it is not created, extract the building from the calculation list
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if len(building.usage_zones) <= 0:
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self._city.remove_city_object(building)
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if self._city.buildings is None:
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self._errors.append('no archetype found per usage')
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self._populated_city = self._city
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return self._populated_city
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print('enriched with usage:', len(self._city.buildings))
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# Step 2.3: Schedules parameters
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SchedulesFactory(schedules_format, self._city).enrich()
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for building in self._city.buildings:
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counter_schedules = 0
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for usage_zone in building.usage_zones:
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# At least one schedule must be created at each thermal zone.
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# If it is not created, extract the building from the calculation list
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if len(usage_zone.schedules) > 0:
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counter_schedules += 1
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if counter_schedules < len(building.usage_zones):
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self._city.remove_city_object(building)
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if self._city.buildings is None:
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self._errors.append('no archetype found per usage')
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self._populated_city = self._city
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print('enriched with occupancy:', len(self._city.buildings))
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return self._populated_city
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