city_retrofit/tests/test_greenery_in_idf.py

78 lines
3.1 KiB
Python
Raw Normal View History

"""
Greenery in idf test
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 pathlib import Path
from unittest import TestCase
import hub.helpers.constants as cte
from hub.city_model_structure.greenery.plant import Plant
from hub.city_model_structure.greenery.soil import Soil
from hub.city_model_structure.greenery.vegetation import Vegetation
from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
from hub.imports.construction_factory import ConstructionFactory
2023-01-24 10:51:50 -05:00
from hub.imports.geometry_factory import GeometryFactory
from hub.imports.usage_factory import UsageFactory
from hub.imports.weather_factory import WeatherFactory
class GreeneryInIdf(TestCase):
"""
GreeneryInIdf TestCase 1
"""
def test_greenery_in_idf(self):
2023-01-24 10:51:50 -05:00
city_file = "tests_data/one_building_in_kelowna.gml"
2023-07-25 16:00:14 -04:00
output_path = (Path(__file__).parent / 'tests_outputs').resolve()
city = GeometryFactory('citygml', path=city_file).city
for building in city.buildings:
building.year_of_construction = 2006
ConstructionFactory('nrel', city).enrich()
UsageFactory('comnet', city).enrich()
WeatherFactory('epw', city).enrich()
vegetation_name = 'BaseEco'
soil_thickness = 0.18
soil_name = 'EcoRoofSoil'
roughness = 'MediumSmooth'
dry_conductivity = 0.4
dry_density = 641
dry_specific_heat = 1100
thermal_absorptance = 0.95
solar_absorptance = 0.8
visible_absorptance = 0.7
saturation_volumetric_moisture_content = 0.4
residual_volumetric_moisture_content = 0.01
soil = Soil(soil_name, roughness, dry_conductivity, dry_density, dry_specific_heat, thermal_absorptance,
solar_absorptance, visible_absorptance, saturation_volumetric_moisture_content,
residual_volumetric_moisture_content)
soil.initial_volumetric_moisture_content = 0.2
plant_name = 'plant'
height = 0.5
leaf_area_index = 5
leaf_reflectivity = 0.2
leaf_emissivity = 0.95
minimal_stomatal_resistance = 180
co2_sequestration = 0
grows_on_soils = [soil]
plant = Plant(plant_name, height, leaf_area_index, leaf_reflectivity, leaf_emissivity, minimal_stomatal_resistance,
co2_sequestration, grows_on_soils)
plant.percentage = 1
plants = [plant]
vegetation = Vegetation(vegetation_name, soil, soil_thickness, plants)
for building in city.buildings:
for surface in building.surfaces:
if surface.type == cte.ROOF:
surface.vegetation = vegetation
_idf = EnergyBuildingsExportsFactory('idf', city, output_path).export()
self.assertIsNotNone(_idf)
city = GeometryFactory('citygml', path=city_file).city
for building in city.buildings:
building.year_of_construction = 2006
ConstructionFactory('nrel', city).enrich()
UsageFactory('comnet', city).enrich()
WeatherFactory('epw', city).enrich()
2022-11-25 12:34:11 -05:00
_idf = EnergyBuildingsExportsFactory('idf', city, output_path).export()
self.assertIsNotNone(_idf)