mirror of
https://rs-loy-gitlab.concordia.ca/PMAU/DynamicBuildingSimulation.git
synced 2024-11-14 15:00:29 -05:00
version working with generation of all input files
This commit is contained in:
Pilar
parent
bb1130c204
commit
33774a76c1
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@ -2,6 +2,7 @@
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<dictionary name="Pilar">
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<words>
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<w>alkis</w>
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<w>ashrae</w>
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<w>incongruences</w>
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<w>nrcan</w>
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</words>
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@ -9,6 +9,7 @@ import pandas as pd
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from insel.insel import Insel
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import helpers.constants as cte
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from imports.weather.helpers.weather import Weather as wt
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from helpers.yearly_from_daily_schedules import YearlyFromDailySchedules as ys
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class ThermalDemandDynamicSimulation:
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@ -30,7 +31,7 @@ class ThermalDemandDynamicSimulation:
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"""
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file = ""
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file += "%Thermal Demand Dynamic Calculation\n"
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file += "%Thermal Demand Dynamic Simulation\n"
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file += "%by Pilar Monsalvete Alvarez de Uribarri\n"
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file += "%email: pilar.monsalvete@concordia.ca\n"
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@ -120,22 +121,20 @@ class ThermalDemandDynamicSimulation:
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else:
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n_records += 2
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inputs = [f"{n_hoy}.1"]
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parameters = [f"{n_records} %[Nrec]",
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f"{n_records * 12} %[RecLen]",
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parameters = [f"{n_records * 13} %[RecLen]",
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f"'{weather_path}' %[FileName]",
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f"'({n_records}F12.3)' %[FileFormat]"]
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file = Insel.add_block(file, i_block, 'READD', inputs, parameters)
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f"',' %[Separator]"]
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file = Insel.add_block(file, i_block, 'UBFAST_READD', inputs, parameters)
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# internal gains and control blocks
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i_block += 1
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n_ig = i_block
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n_records = number_usage_zones * 6
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inputs = [f"{n_hoy}.1"]
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parameters = [f"{n_records} %[Nrec]",
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f"{n_records * 12} %[RecLen]",
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parameters = [f"{n_records * 13} %[RecLen]",
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f"'{ig_path}' %[FileName]",
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f"'({n_records}F12.3)' %[FileFormat]"]
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file = Insel.add_block(file, i_block, 'READD', inputs, parameters)
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f"',' %[Separator]"]
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file = Insel.add_block(file, i_block, 'UBFAST_READD', inputs, parameters)
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# results blocks
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i_block += 1
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@ -262,7 +261,7 @@ class ThermalDemandDynamicSimulation:
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f"{n_ig}." + str(6 + 6 * i_zone), # set point heating
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f"{n_ig}." + str(4 + 6 * i_zone), # ventilation rate
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f"{n_weather}.1", # ventilation temperature
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f"{n_zone[i_zone] + 4}.1", # from chs
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f"{n_zone[i_zone] + 3}.1", # from chs
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]
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cooled = '1'
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if building.cooled:
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@ -394,7 +393,7 @@ class ThermalDemandDynamicSimulation:
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i_block += 1
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inputs = [f"{i_block - 1}.1"]
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parameters = [f"{float(thermal_opening.area) * (1 - float(thermal_opening.frame_ratio))} %[AreaWindow]"]
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parameters = [f"{thermal_opening.area * (1 - thermal_opening.frame_ratio)} %[AreaWindow]"]
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file = Insel.add_block(file, i_block, 'GAIN', inputs=inputs, parameters=parameters)
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inputs_next.append(f"{i_block}.1")
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@ -428,8 +427,8 @@ class ThermalDemandDynamicSimulation:
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i_surface += 1
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inputs = [f"{n_gain_moy}.1"]
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if (thermal_boundary.surface.type == cte.WALL) or (thermal_boundary.surface.type == cte.ROOF):
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inputs.append(f"{n_zone[i_tz] + 8}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 6}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 7}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 5}.{i_surface}")
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inputs.append(f"{n_ig}.{i_tz * 6 + 2}")
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inputs.append(f"{i_block + 2}.1")
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inputs.append(f"{n_weather}.1")
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@ -447,7 +446,7 @@ class ThermalDemandDynamicSimulation:
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for layer in thermal_boundary.layers:
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material = layer.material
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if material.no_mass:
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parameters.append(f"1 {1 / float(material.thermal_resistance)} 1 1 % [thick] + [lambda ] +[rho] +[cp]")
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parameters.append(f"1 {1 / material.thermal_resistance} 1 1 % [thick] + [lambda ] +[rho] +[cp]")
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else:
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parameters.append(f"{layer.thickness} {material.conductivity} {material.density} {material.specific_heat}"
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f" % [thick] + [lambda ] +[rho] +[cp]")
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@ -465,8 +464,8 @@ class ThermalDemandDynamicSimulation:
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else:
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i_weather += 2
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elif (thermal_boundary.surface.type == cte.GROUND) or (thermal_boundary.surface.type == cte.GROUND_WALL):
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inputs.append(f"{n_zone[i_tz] + 8}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 6}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 7}.{i_surface}")
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inputs.append(f"{n_zone[i_tz] + 5}.{i_surface}")
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inputs.append(f"{n_ig}.{i_tz * 6 + 2}")
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inputs.append(f"{n_weather}.3")
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inputs.append(f"{n_zone[i_tz] + 1}.1")
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@ -475,7 +474,7 @@ class ThermalDemandDynamicSimulation:
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for layer in thermal_boundary.layers:
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material = layer.material
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if material.no_mass:
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parameters.append(f"1 {1 / float(material.thermal_resistance)} 1 1 % [thick] + [lambda ] +[rho] +[cp]")
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parameters.append(f"1 {1 / material.thermal_resistance} 1 1 % [thick] + [lambda ] +[rho] +[cp]")
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else:
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parameters.append(f"{layer.thickness} {material.conductivity} {material.density} {material.specific_heat}"
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f" % [thick] + [lambda ] +[rho] +[cp]")
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@ -529,9 +528,8 @@ class ThermalDemandDynamicSimulation:
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f"{thermal_opening.radiative_coefficient} % [RadCoefeW]",
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f"0 % [Ubi]",
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f"1 % [Nlay]"]
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layer_conductivity = float(thermal_opening.thickness) / ((1/float(thermal_opening.overall_u_value)) -
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(1/float(thermal_opening.hi)) -
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(1/float(thermal_opening.he)))
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layer_conductivity = thermal_opening.thickness / ((1/thermal_opening.overall_u_value) -
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(1/thermal_opening.hi) - (1/thermal_opening.he))
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parameters_layer = f"{thermal_opening.thickness} {layer_conductivity} 1000 750 " \
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f"% [thick] + [lambda ] +[rho] +[cp]"
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parameters.append(parameters_layer)
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@ -541,7 +539,7 @@ class ThermalDemandDynamicSimulation:
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parameters = [f"{thermal_opening.area} %[AreaWindow]"]
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file = Insel.add_block(file, i_block, 'GAIN', inputs=inputs, parameters=parameters)
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i_block += 1
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inputs = [f"{n_zone[i_tz] + 6}.{i_surface}",
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inputs = [f"{n_zone[i_tz] + 5}.{i_surface}",
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f"{n_ig}.{i_tz * 6 + 2}"]
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file = Insel.add_block(file, i_block, 'SUM', inputs=inputs)
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if len(thermal_boundary.thermal_openings) > 0:
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@ -562,6 +560,7 @@ class ThermalDemandDynamicSimulation:
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content.rename(columns={content.columns[0]: 'ambient_temperature'})
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sky_temperature = wt.sky_temperature(building.external_temperature[cte.HOUR].to_numpy().T[0])
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content['sky_temperature'] = np.array(sky_temperature).astype(float)
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# todo calculate ground temperature
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# content['ground_temperature'] = building.ground_temperature
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content['ground_temperature'] = zeros
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for i_tb, thermal_boundary in enumerate(building.thermal_boundaries):
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@ -574,11 +573,6 @@ class ThermalDemandDynamicSimulation:
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content[f'darkness_value_{i_tb}'] = zeros
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content[f'wind_velocity_{i_tb}'] = zeros
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content.to_csv(weather_path, header=False, index=False, float_format='%12.3f')
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text = open(weather_path, 'r')
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text = ''.join([i for i in text]).replace(',', '')
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replaced_text = open(weather_path, 'w')
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replaced_text.writelines(text)
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replaced_text.close()
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def generate_ig_file(self):
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"""
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@ -587,25 +581,66 @@ class ThermalDemandDynamicSimulation:
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building = self._building
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ig_path = self._ig_path
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content = pd.DataFrame()
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zeros = np.zeros(8760)
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for i_uz, usage_zone in enumerate(building.usage_zones):
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convective_part = 0
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radiative_part = 0
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convective_part = np.zeros(8760)
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radiative_part = np.zeros(8760)
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occupancy = []
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lighting = []
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appliances = []
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infiltration = []
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hvac_availability = []
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cooling_set_point = []
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heating_set_point = []
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for schedule in usage_zone.schedules:
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if schedule.type == cte.OCCUPANCY:
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occupancy.append(schedule)
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elif schedule.type == cte.LIGHTING:
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lighting.append(schedule)
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elif schedule.type == cte.RECEPTACLE:
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appliances.append(schedule)
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elif schedule.type == cte.INFILTRATION:
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infiltration.append(schedule)
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elif schedule.type == cte.HVAC_AVAILABILITY:
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hvac_availability.append(schedule)
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elif schedule.type == cte.COOLING_SET_POINT:
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cooling_set_point.append(schedule)
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elif schedule.type == cte.HEATING_SET_POINT:
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heating_set_point.append(schedule)
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occupancy_yearly_schedule = ys(occupancy, 2015).yearly_schedule
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lighting_yearly_schedule = ys(lighting, 2015).yearly_schedule
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appliances_yearly_schedule = ys(appliances, 2015).yearly_schedule
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infiltration_yearly_schedule = ys(infiltration, 2015).yearly_schedule
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hvac_availability_yearly_schedule = ys(hvac_availability, 2015).yearly_schedule
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cooling_set_point_yearly_schedule = ys(cooling_set_point, 2015).yearly_schedule
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heating_set_point_yearly_schedule = ys(heating_set_point, 2015).yearly_schedule
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mechanical_air_change = np.zeros(8760)
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for hour, value in enumerate(hvac_availability_yearly_schedule.values):
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mechanical_air_change[hour] += usage_zone.mechanical_air_change * value
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for internal_gain in usage_zone.internal_gains:
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convective_part += internal_gain.average_internal_gain * internal_gain.convective_fraction
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radiative_part += internal_gain.average_internal_gain * internal_gain.radiative_fraction
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content[f'convective_part_{i_uz}'] = zeros
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content[f'radiative_part_{i_uz}'] = zeros
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content[f'infiltration_rate_{i_uz}'] = zeros
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content[f'ventilation_rate_{i_uz}'] = zeros
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content[f'set_point_cooling_{i_uz}'] = zeros
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content[f'set_point_heating_{i_uz}'] = zeros
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if internal_gain.type == cte.OCCUPANCY:
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for hour, value in enumerate(occupancy_yearly_schedule.values):
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convective_part[hour] += internal_gain.average_internal_gain * internal_gain.convective_fraction * value
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radiative_part[hour] += internal_gain.average_internal_gain * internal_gain.radiative_fraction * value
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elif internal_gain.type == cte.LIGHTING:
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for hour, value in enumerate(lighting_yearly_schedule.values):
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convective_part[hour] += internal_gain.average_internal_gain * internal_gain.convective_fraction * value
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radiative_part[hour] += internal_gain.average_internal_gain * internal_gain.radiative_fraction * value
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elif internal_gain.type == cte.RECEPTACLE:
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for hour, value in enumerate(appliances_yearly_schedule.values):
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convective_part[hour] += internal_gain.average_internal_gain * internal_gain.convective_fraction * value
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radiative_part[hour] += internal_gain.average_internal_gain * internal_gain.radiative_fraction * value
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content[f'convective_part_{i_uz}'] = convective_part
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content[f'radiative_part_{i_uz}'] = radiative_part
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content[f'infiltration_rate_{i_uz}'] = np.zeros(8760)
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content[f'ventilation_rate_{i_uz}'] = mechanical_air_change
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# content[f'ventilation_rate_{i_uz}'] = np.zeros(8760)
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content[f'set_point_cooling_{i_uz}'] = cooling_set_point_yearly_schedule.values
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content[f'set_point_heating_{i_uz}'] = heating_set_point_yearly_schedule.values
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content.to_csv(ig_path, header=False, index=False, float_format='%12.3f')
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text = open(ig_path, 'r')
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text = ''.join([i for i in text]).replace(',', '')
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replaced_text = open(ig_path, 'w')
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replaced_text.writelines(text)
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replaced_text.close()
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def generate_fij_files(self):
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"""
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54
main.py
54
main.py
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@ -13,10 +13,10 @@ from city_model_structure.city import City
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name_gml = 'one_building_in_kelowna.gml'
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function_format = 'hft'
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construction_format = 'nrel'
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usage_format = 'hft'
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usage_format = 'comnet'
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schedules_format = 'comnet'
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climate_reference_city = 'Summerland'
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weather_file_name = 'CAN_BC_Summerland.717680_CWEC.epw'
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climate_reference_city = 'Montreal'
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weather_file_name = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
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example_path = Path(__file__).parent
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full_path_gml = (example_path / 'tests' / 'tests_data' / name_gml).resolve()
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@ -24,14 +24,15 @@ 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_sra_file = True
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keep_insel_file = False
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keep_weather_file = False
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keep_ig_file = False
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keep_insel_file = True
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keep_weather_file = True
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keep_ig_file = True
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pickle_geometry = True
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pickle_weather = False
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pickle_construction = False
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pickle_usage = False
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pickle_schedules = False
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pickle_weather = True
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pickle_construction = True
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pickle_usage = True
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pickle_schedules = True
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pickle_file = 'tests/tests_data/one_building_in_kelowna.pickle'
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# Load geometry
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@ -55,34 +56,36 @@ if not pickle_weather:
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WeatherFactory(weather_format, city, base_path=weather_path, file_name=weather_file_name).enrich()
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# calculate radiation on external surfaces
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max_buildings_handled_by_sra = 200
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path = (example_path / 'tests').resolve()
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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 = SimplifiedRadiosityAlgorithm(new_city, path, weather_file_name)
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sra.call_sra(weather_format, keep_files=keep_sra_file, selected_buildings=[building])
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sra.set_irradiance_surfaces(city, mode=1, building_name=building.name)
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else:
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sra = SimplifiedRadiosityAlgorithm(city, path, weather_file_name)
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sra.call_sra(weather_format, keep_files=keep_sra_file)
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sra.set_irradiance_surfaces(city, mode=1)
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radius = 80
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building = city.city_object('BLD109438')
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# building = city.city_object('1066157')
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new_city = city.region(building.centroid, radius)
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sra = SimplifiedRadiosityAlgorithm(new_city, path, weather_file_name)
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sra.call_sra(weather_format, keep_files=keep_sra_file, selected_buildings=[building])
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sra.set_irradiance_surfaces(city, mode=1, building_name=building.name)
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# to save only the targeted building
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radius = 10
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city = city.region(building.centroid, radius)
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city.save(pickle_file)
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else:
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city = City.load(pickle_file)
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# Enrich city with construction, usage and schedules
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# Enrich target building in the city with construction, usage and schedules
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if not pickle_construction or not pickle_usage or not pickle_schedules:
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for building in city.buildings:
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building.function = 'large office'
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building.year_of_construction = 2010
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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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pickle_construction, pickle_usage, pickle_schedules)
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city.save(pickle_file)
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else:
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city = City.load(pickle_file)
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@ -138,8 +141,9 @@ for building in city.buildings:
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template.generate_fij_files()
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print(insel_file_name)
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insel = Insel(example_path, insel_file_name, content, mode=2, keep_files=keep_insel_file).results
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break
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except:
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except ValueError:
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print(sys.exc_info()[1])
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print('Building ' + building.name + ' could not be processed')
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continue
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