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52f94c858f
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3545418293
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3545418293 | |||
1906862517 | |||
0048e18e55 |
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@ -71,7 +71,7 @@ class DomesticHotWaterHeatPumpTes:
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hp_electricity[i] = 0
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t_tank[i + 1] = t_tank[i] + (delta_t_hp - delta_t_freshwater - delta_t_demand + delta_t_coil)
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total_consumption[i] = q_hp[i] + q_coil[i]
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total_consumption[i] = hp_electricity[i] + q_coil[i]
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tes.temperature = []
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hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity]
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heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil]
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@ -74,8 +74,8 @@ class HeatPumpBoilerTesHeating:
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hp_cop[i + 1] = self.hp_characteristics.air_to_water_cop(source_temperature[i + 1], t_tank[i + 1], mode=cte.HEATING)
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hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
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else:
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hp_cop[i] = 0
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hp_electricity[i] = 0
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hp_cop[i + 1] = 0
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hp_electricity[i + 1] = 0
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# boiler operation
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if q_hp[i + 1] > 0:
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if t_sup_hp[i + 1] < 45:
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@ -105,7 +105,7 @@ class HeatPumpBoilerTesHeating:
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m_dis[i + 1] = self.heating_peak_load / (cte.WATER_HEAT_CAPACITY * factor)
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t_ret[i + 1] = t_tank[i + 1] - demand[i + 1] / (m_dis[i + 1] * cte.WATER_HEAT_CAPACITY)
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# total consumption
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total_consumption[i + 1] = q_hp[i + 1] + q_boiler[i + 1] + q_coil[i + 1]
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total_consumption[i + 1] = hp_electricity[i + 1] + boiler_energy_consumption[i + 1] + q_coil[i + 1]
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tes.temperature = []
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hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity]
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boiler_consumption_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in boiler_energy_consumption]
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@ -43,12 +43,12 @@ class HeatPump:
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else:
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if self.hp.heat_efficiency_curve is not None:
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cop_curve_coefficients = [float(coefficient) for coefficient in self.hp.heat_efficiency_curve.coefficients]
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cop_coefficient = (1 / (cop_curve_coefficients[0] +
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cop_curve_coefficients[1] * inlet_water_temperature +
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cop_curve_coefficients[2] * inlet_water_temperature ** 2 +
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cop_curve_coefficients[3] * source_temperature +
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cop_curve_coefficients[4] * source_temperature ** 2 +
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cop_curve_coefficients[5] * inlet_water_temperature * source_temperature))
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cop_coefficient = (cop_curve_coefficients[0] +
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cop_curve_coefficients[1] * source_temperature +
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cop_curve_coefficients[2] * source_temperature ** 2 +
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cop_curve_coefficients[3] * inlet_water_temperature +
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cop_curve_coefficients[4] * inlet_water_temperature ** 2 +
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cop_curve_coefficients[5] * inlet_water_temperature * source_temperature)
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hp_efficiency = float(self.hp.heat_efficiency)
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hp_cop = cop_coefficient * hp_efficiency
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return hp_cop
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@ -16,27 +16,23 @@ class StorageTank:
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self.heating_coil_capacity = heating_coil_capacity
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def heat_loss_coefficient(self):
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r_tot = sum(float(layer.thickness) / float(layer.material.conductivity) for layer in
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self.materials)
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u_tot = 1 / r_tot
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d = math.sqrt((4 * self.volume) / (math.pi * self.height))
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a_side = math.pi * d * self.height
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a_top = math.pi * d ** 2 / 4
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if self.number_of_vertical_layers == 1:
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r_tot = sum(float(layer.thickness) / float(layer.material.conductivity) for layer in
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self.materials)
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u_tot = 1 / r_tot
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d = math.sqrt((4 * self.volume) / (math.pi * self.height))
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a_side = math.pi * d * self.height
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a_top = math.pi * d ** 2 / 4
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ua = u_tot * (2 * a_top + a_side)
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return ua
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else:
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r_tot = sum(float(layer.thickness) / float(layer.material.conductivity) for layer in
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self.materials)
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u_tot = 1 / r_tot
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d = math.sqrt((4 * self.volume) / (math.pi * self.height))
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a_side = math.pi * d * self.height
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a_top = math.pi * d ** 2 / 4
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ua_side = u_tot * a_side
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ua_top_bottom = u_tot * (a_top + a_side)
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return ua_side, ua_top_bottom
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def calculate_space_heating_fully_mixed(self, charging_flow_rate, discharging_flow_rate, supply_temperature, return_temperature,
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def calculate_space_heating_fully_mixed(self, charging_flow_rate, discharging_flow_rate, supply_temperature,
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return_temperature,
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current_tank_temperature, heat_generator_input, ambient_temperature, dt):
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ua = self.heat_loss_coefficient()
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t_tank = (current_tank_temperature +
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@ -47,6 +43,5 @@ class StorageTank:
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return t_tank
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def calculate_dhw_fully_mixed(self, charging_flow_rate, discharging_flow_rate, supply_temperature, return_temperature,
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current_tank_temperature, heat_generator_input, ambient_temperature, dt):
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current_tank_temperature, heat_generator_input, ambient_temperature, dt):
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pass
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@ -1,70 +0,0 @@
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"""
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Energy System rule-based sizing
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2023 Concordia CERC group
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Project Coder Saeed Ranjbar saeed.ranjbar@concordia.ca
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"""
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import hub.helpers.constants as cte
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class SystemSizing:
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"""
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The energy system sizing class
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"""
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def __init__(self, buildings):
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self.buildings = buildings
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def hvac_sizing(self):
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for building in self.buildings:
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peak_heating_demand = building.heating_peak_load[cte.YEAR][0] / 3600
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peak_cooling_demand = building.cooling_peak_load[cte.YEAR][0] / 3600
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if peak_heating_demand > peak_cooling_demand:
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sizing_demand = peak_heating_demand
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for system in building.energy_systems:
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if 'Heating' in system.demand_types:
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for generation in system.generation_systems:
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if generation.system_type == 'Heat Pump':
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if generation.source_medium == cte.AIR:
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generation.source_temperature = building.external_temperature
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generation.nominal_heat_output = 0.6 * sizing_demand / 1000
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if generation.energy_storage_systems is not None:
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for storage in generation.energy_storage_systems:
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if storage.type_energy_stored == 'thermal':
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storage.volume = building.heating_peak_load[cte.YEAR][0] / (cte.WATER_HEAT_CAPACITY*cte.WATER_DENSITY * 20)
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elif generation.system_type == 'Boiler':
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generation.nominal_heat_output = 0.4 * sizing_demand / 1000
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else:
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sizing_demand = peak_cooling_demand
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for system in building.energy_systems:
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if 'Cooling' in system.demand_types:
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for generation in system.generation_systems:
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if generation.system_type == 'Heat Pump':
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generation.nominal_heat_output = sizing_demand / 1000
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def montreal_custom(self):
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for building in self.buildings:
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energy_systems = building.energy_systems
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for energy_system in energy_systems:
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demand_types = energy_system.demand_types
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generation_systems = energy_system.generation_systems
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if cte.HEATING in demand_types:
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if len(generation_systems) == 1:
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for generation in generation_systems:
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generation.nominal_heat_output = building.heating_peak_load[cte.YEAR][0]
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else:
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for generation in generation_systems:
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generation.nominal_heat_output = building.heating_peak_load[cte.YEAR][0] / (len(generation_systems))
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elif cte.COOLING in demand_types:
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if len(generation_systems) == 1:
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for generation in generation_systems:
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generation.nominal_cooling_output = building.cooling_peak_load[cte.YEAR][0]
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else:
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for generation in generation_systems:
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generation.nominal_heat_output = building.cooling_peak_load[cte.YEAR][0] / (len(generation_systems))
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@ -1,54 +0,0 @@
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"""
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EnergySystemSizingSimulationFactory retrieve the energy system archetype sizing and simulation module
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Saeed Ranjbar saeed.ranjbar@mail.concordia.ca
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"""
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from energy_system_modelling_package.system_simulation_models.archetype13 import Archetype13
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from energy_system_modelling_package.system_simulation_models.archetype13_stratified_tes import Archetype13Stratified
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from energy_system_modelling_package.system_simulation_models.archetype1 import Archetype1
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from energy_system_modelling_package.system_simulation_models.archetypes14_15 import Archetype14_15
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class EnergySystemsSimulationFactory:
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"""
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EnergySystemsFactory class
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"""
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def __init__(self, handler, building, output_path):
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self._output_path = output_path
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self._handler = '_' + handler.lower()
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self._building = building
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def _archetype1(self):
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"""
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Enrich the city by using the sizing and simulation model developed for archetype13 of montreal_future_systems
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"""
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Archetype1(self._building, self._output_path).enrich_buildings()
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self._building.level_of_detail.energy_systems = 2
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self._building.level_of_detail.energy_systems = 2
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def _archetype13(self):
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"""
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Enrich the city by using the sizing and simulation model developed for archetype13 of montreal_future_systems
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"""
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Archetype13(self._building, self._output_path).enrich_buildings()
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self._building.level_of_detail.energy_systems = 2
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self._building.level_of_detail.energy_systems = 2
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def _archetype14_15(self):
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"""
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Enrich the city by using the sizing and simulation model developed for archetype14 and archetype15 of
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montreal_future_systems
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"""
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Archetype14_15(self._building, self._output_path).enrich_buildings()
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self._building.level_of_detail.energy_systems = 2
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self._building.level_of_detail.energy_systems = 2
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def enrich(self):
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"""
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Enrich the city given to the class using the class given handler
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:return: None
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"""
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getattr(self, self._handler, lambda: None)()
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@ -1,191 +0,0 @@
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[
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{
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"DN": 16,
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"inner_diameter": 16.1,
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"outer_diameter": 21.3,
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"thickness": 2.6,
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"cost_per_meter": 320
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},
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{
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"DN": 20,
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"inner_diameter": 21.7,
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"outer_diameter": 26.9,
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"thickness": 2.6,
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"cost_per_meter": 320
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},
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{
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"DN": 25,
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"inner_diameter": 27.3,
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"outer_diameter": 33.7,
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"thickness": 3.2,
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"cost_per_meter": 320
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},
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{
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"DN": 32,
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"inner_diameter": 37.2,
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"outer_diameter": 42.4,
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"thickness": 2.6,
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"cost_per_meter": 350
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},
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{
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"DN": 40,
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"inner_diameter": 43.1,
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"outer_diameter": 48.3,
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"thickness": 2.6,
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"cost_per_meter": 375
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},
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{
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"DN": 50,
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"inner_diameter": 54.5,
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"outer_diameter": 60.3,
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"thickness": 2.9,
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"cost_per_meter": 400
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},
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{
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"DN": 65,
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"inner_diameter": 70.3,
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"outer_diameter": 76.1,
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"thickness": 2.9,
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"cost_per_meter": 450
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},
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{
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"DN": 80,
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"inner_diameter": 82.5,
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"outer_diameter": 88.9,
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"thickness": 3.2,
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"cost_per_meter": 480
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},
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{
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"DN": 90,
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"inner_diameter": 100.8,
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"outer_diameter": 108,
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"thickness": 3.6,
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"cost_per_meter": 480
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},
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{
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"DN": 100,
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"inner_diameter": 107.1,
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"outer_diameter": 114.3,
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"thickness": 3.6,
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"cost_per_meter": 550
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},
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{
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"DN": 110,
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"inner_diameter": 125.8,
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"outer_diameter": 133,
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"thickness": 3.6,
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"cost_per_meter": 550
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},
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{
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"DN": 125,
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||||
"inner_diameter": 132.5,
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"outer_diameter": 139.7,
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"thickness": 3.6,
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"cost_per_meter": 630
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||||
},
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||||
{
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||||
"DN": 140,
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||||
"inner_diameter": 151,
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||||
"outer_diameter": 159,
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||||
"thickness": 4,
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||||
"cost_per_meter": 700
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||||
},
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||||
{
|
||||
"DN": 150,
|
||||
"inner_diameter": 160.3,
|
||||
"outer_diameter": 168.3,
|
||||
"thickness": 4,
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||||
"cost_per_meter": 700
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||||
},
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||||
{
|
||||
"DN": 180,
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||||
"inner_diameter": 184.7,
|
||||
"outer_diameter": 193.7,
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||||
"thickness": 4.5,
|
||||
"cost_per_meter": 700
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||||
},
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||||
{
|
||||
"DN": 200,
|
||||
"inner_diameter": 210.1,
|
||||
"outer_diameter": 219.1,
|
||||
"thickness": 4.5,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 250,
|
||||
"inner_diameter": 263,
|
||||
"outer_diameter": 273,
|
||||
"thickness": 5,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 300,
|
||||
"inner_diameter": 312.7,
|
||||
"outer_diameter": 323.9,
|
||||
"thickness": 5.6,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 350,
|
||||
"inner_diameter": 344.4,
|
||||
"outer_diameter": 355.6,
|
||||
"thickness": 5.6,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 400,
|
||||
"inner_diameter": 393.8,
|
||||
"outer_diameter": 406.4,
|
||||
"thickness": 6.3,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 450,
|
||||
"inner_diameter": 444.4,
|
||||
"outer_diameter": 457,
|
||||
"thickness": 6.3,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 500,
|
||||
"inner_diameter": 495.4,
|
||||
"outer_diameter": 508,
|
||||
"thickness": 6.3,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 600,
|
||||
"inner_diameter": 595.8,
|
||||
"outer_diameter": 610,
|
||||
"thickness": 7.1,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 700,
|
||||
"inner_diameter": 696.8,
|
||||
"outer_diameter": 711,
|
||||
"thickness": 7.1,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 800,
|
||||
"inner_diameter": 797,
|
||||
"outer_diameter": 813,
|
||||
"thickness": 8,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 900,
|
||||
"inner_diameter": 894,
|
||||
"outer_diameter": 914,
|
||||
"thickness": 10,
|
||||
"cost_per_meter": 860
|
||||
},
|
||||
{
|
||||
"DN": 1000,
|
||||
"inner_diameter": 996,
|
||||
"outer_diameter": 1016,
|
||||
"thickness": 10,
|
||||
"cost_per_meter": 860
|
||||
}
|
||||
]
|
1585013
input_files/roads.json
1585013
input_files/roads.json
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