diff --git a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/domestic_hot_water_heat_pump_with_tes.py b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/domestic_hot_water_heat_pump_with_tes.py index 1034ce63..eaa55fab 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/domestic_hot_water_heat_pump_with_tes.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/domestic_hot_water_heat_pump_with_tes.py @@ -73,16 +73,16 @@ class DomesticHotWaterHeatPumpTes: t_tank[i + 1] = t_tank[i] + (delta_t_hp - delta_t_freshwater - delta_t_demand + delta_t_coil) total_consumption[i] = hp_electricity[i] + q_coil[i] tes.temperature = [] - hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity] - heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil] + hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity[1:]] + heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil[1:]] hp_hourly = [] coil_hourly = [] coil_sum = 0 hp_sum = 0 - for i in range(1, len(demand)): + for i in range(len(demand) - 1): hp_sum += hp_electricity_j[i] coil_sum += heating_coil_j[i] - if (i - 1) % number_of_ts == 0: + if i % number_of_ts == 0 or i == len(demand) - 1: tes.temperature.append(t_tank[i]) hp_hourly.append(hp_sum) coil_hourly.append(coil_sum) @@ -104,17 +104,17 @@ class DomesticHotWaterHeatPumpTes: tes.heating_coil_energy_consumption[cte.DOMESTIC_HOT_WATER][cte.YEAR] = [ sum(tes.heating_coil_energy_consumption[cte.DOMESTIC_HOT_WATER][cte.MONTH])] - self.results['DHW Demand (W)'] = demand - self.results['DHW HP Heat Output (W)'] = q_hp - self.results['DHW HP Electricity Consumption (W)'] = hp_electricity - self.results['DHW HP Source Temperature'] = source_temperature - self.results['DHW HP Supply Temperature'] = t_sup_hp - self.results['DHW HP COP'] = hp_cop - self.results['DHW TES Heating Coil Heat Output (W)'] = q_coil - self.results['DHW TES Temperature'] = t_tank - self.results['DHW TES Charging Flow Rate (kg/s)'] = m_ch - self.results['DHW Flow Rate (kg/s)'] = m_dis - self.results['DHW TES Refill Flow Rate (kg/s)'] = m_refill - self.results['Available Water in Tank (m3)'] = v_dhw - self.results['Total DHW Power Consumption (W)'] = total_consumption + self.results['DHW Demand (W)'] = demand[1:] + self.results['DHW HP Heat Output (W)'] = q_hp[1:] + self.results['DHW HP Electricity Consumption (W)'] = hp_electricity[1:] + self.results['DHW HP Source Temperature'] = source_temperature[1:] + self.results['DHW HP Supply Temperature'] = t_sup_hp[1:] + self.results['DHW HP COP'] = hp_cop[1:] + self.results['DHW TES Heating Coil Heat Output (W)'] = q_coil[1:] + self.results['DHW TES Temperature'] = t_tank[1:] + self.results['DHW TES Charging Flow Rate (kg/s)'] = m_ch[1:] + self.results['DHW Flow Rate (kg/s)'] = m_dis[1:] + self.results['DHW TES Refill Flow Rate (kg/s)'] = m_refill[1:] + self.results['Available Water in Tank (m3)'] = v_dhw[1:] + self.results['Total DHW Power Consumption (W)'] = total_consumption[1:] return self.results diff --git a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_boiler_tes_heating.py b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_boiler_tes_heating.py index 71de5e5e..7c933393 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_boiler_tes_heating.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_boiler_tes_heating.py @@ -25,8 +25,9 @@ class HeatPumpBoilerTesHeating: def simulation(self): hp, boiler, tes = self.hp, self.boiler, self.tes - if hp.nominal_heat_output < 0 or boiler.nominal_heat_output < 0: - raise ValueError("Heat output values must be non-negative. Check the nominal_heat_output for hp and boiler.") + if boiler is not None: + if hp.nominal_heat_output < 0 or boiler.nominal_heat_output < 0: + raise ValueError("Heat output values must be non-negative. Check the nominal_heat_output for hp and boiler.") heating_coil_nominal_output = 0 if tes.heating_coil_capacity is not None: @@ -113,20 +114,20 @@ class HeatPumpBoilerTesHeating: # total consumption total_consumption[i + 1] = hp_electricity[i + 1] + boiler_energy_consumption[i + 1] + q_coil[i + 1] tes.temperature = [] - hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity] - boiler_consumption_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in boiler_energy_consumption] - heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil] + hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity[1:]] + boiler_consumption_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in boiler_energy_consumption[1:]] + heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil[1:]] hp_hourly = [] boiler_hourly = [] coil_hourly = [] boiler_sum = 0 hp_sum = 0 coil_sum = 0 - for i in range(1, len(demand)): + for i in range(len(demand) - 1): hp_sum += hp_electricity_j[i] boiler_sum += boiler_consumption_j[i] coil_sum += heating_coil_j[i] - if (i - 1) % number_of_ts == 0: + if i % number_of_ts == 0 or i == len(demand) - 1: tes.temperature.append(t_tank[i]) hp_hourly.append(hp_sum) boiler_hourly.append(boiler_sum) @@ -136,17 +137,19 @@ class HeatPumpBoilerTesHeating: coil_sum = 0 hp.energy_consumption[cte.HEATING] = {} hp.energy_consumption[cte.HEATING][cte.HOUR] = hp_hourly - boiler.energy_consumption[cte.HEATING] = {} - boiler.energy_consumption[cte.HEATING][cte.HOUR] = boiler_hourly + if boiler is not None: + boiler.energy_consumption[cte.HEATING] = {} + boiler.energy_consumption[cte.HEATING][cte.HOUR] = boiler_hourly if len(self.heating_demand) == 8760: hp.energy_consumption[cte.HEATING][cte.MONTH] = MonthlyValues.get_total_month( hp.energy_consumption[cte.HEATING][cte.HOUR]) hp.energy_consumption[cte.HEATING][cte.YEAR] = [ sum(hp.energy_consumption[cte.HEATING][cte.MONTH])] - boiler.energy_consumption[cte.HEATING][cte.MONTH] = MonthlyValues.get_total_month( - boiler.energy_consumption[cte.HEATING][cte.HOUR]) - boiler.energy_consumption[cte.HEATING][cte.YEAR] = [ - sum(boiler.energy_consumption[cte.HEATING][cte.MONTH])] + if boiler is not None: + boiler.energy_consumption[cte.HEATING][cte.MONTH] = MonthlyValues.get_total_month( + boiler.energy_consumption[cte.HEATING][cte.HOUR]) + boiler.energy_consumption[cte.HEATING][cte.YEAR] = [ + sum(boiler.energy_consumption[cte.HEATING][cte.MONTH])] if tes.heating_coil_capacity is not None: tes.heating_coil_energy_consumption[cte.HEATING] = {} if len(self.heating_demand) == 8760: @@ -155,20 +158,20 @@ class HeatPumpBoilerTesHeating: tes.heating_coil_energy_consumption[cte.HEATING][cte.HOUR]) tes.heating_coil_energy_consumption[cte.HEATING][cte.YEAR] = [ sum(tes.heating_coil_energy_consumption[cte.HEATING][cte.MONTH])] - self.results['Heating Demand (W)'] = demand - self.results['HP Heat Output (W)'] = q_hp - self.results['HP Source Temperature'] = source_temperature - self.results['HP Supply Temperature'] = t_sup_hp - self.results['HP COP'] = hp_cop - self.results['HP Electricity Consumption (W)'] = hp_electricity - self.results['Boiler Heat Output (W)'] = q_boiler - self.results['Boiler Power Consumption (W)'] = boiler_energy_consumption - self.results['Boiler Supply Temperature'] = t_sup_boiler - self.results['Boiler Fuel Consumption'] = boiler_fuel_consumption - self.results['TES Temperature'] = t_tank - self.results['Heating Coil heat input'] = q_coil - self.results['TES Charging Flow Rate (kg/s)'] = m_ch - self.results['TES Discharge Flow Rate (kg/s)'] = m_dis - self.results['Heating Loop Return Temperature'] = t_ret - self.results['Total Heating Power Consumption (W)'] = total_consumption + self.results['Heating Demand (W)'] = demand[1:] + self.results['HP Heat Output (W)'] = q_hp[1:] + self.results['HP Source Temperature'] = source_temperature[1:] + self.results['HP Supply Temperature'] = t_sup_hp[1:] + self.results['HP COP'] = hp_cop[1:] + self.results['HP Electricity Consumption (W)'] = hp_electricity[1:] + self.results['Boiler Heat Output (W)'] = q_boiler[1:] + self.results['Boiler Power Consumption (W)'] = boiler_energy_consumption[1:] + self.results['Boiler Supply Temperature'] = t_sup_boiler[1:] + self.results['Boiler Fuel Consumption'] = boiler_fuel_consumption[1:] + self.results['TES Temperature'] = t_tank[1:] + self.results['Heating Coil heat input'] = q_coil[1:] + self.results['TES Charging Flow Rate (kg/s)'] = m_ch[1:] + self.results['TES Discharge Flow Rate (kg/s)'] = m_dis[1:] + self.results['Heating Loop Return Temperature'] = t_ret[1:] + self.results['Total Heating Power Consumption (W)'] = total_consumption[1:] return self.results diff --git a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_cooling.py b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_cooling.py index cf838bdf..60f2a54c 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_cooling.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_cooling.py @@ -57,11 +57,11 @@ class HeatPumpCooling: else: hp_cop[i] = 0 hp_electricity[i] = 0 - hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity] + hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity[1:]] hp_hourly = [] hp_supply_temperature_hourly = [] hp_sum = 0 - for i in range(1, len(demand)): + for i in range(len(demand) - 1): hp_sum += hp_electricity_j[i] if (i - 1) % number_of_ts == 0: hp_hourly.append(hp_sum) @@ -74,14 +74,14 @@ class HeatPumpCooling: self.hp.energy_consumption[cte.COOLING][cte.HOUR]) self.hp.energy_consumption[cte.COOLING][cte.YEAR] = [ sum(self.hp.energy_consumption[cte.COOLING][cte.MONTH])] - self.results['Cooling Demand (W)'] = demand - self.results['HP Cooling Output (W)'] = q_hp - self.results['HP Cooling Source Temperature'] = source_temperature - self.results['HP Cooling Supply Temperature'] = t_sup_hp - self.results['HP Cooling COP'] = hp_cop - self.results['HP Electricity Consumption'] = hp_electricity - self.results['Cooling Loop Flow Rate (kg/s)'] = m - self.results['Cooling Loop Return Temperature'] = t_ret + self.results['Cooling Demand (W)'] = demand[1:] + self.results['HP Cooling Output (W)'] = q_hp[1:] + self.results['HP Cooling Source Temperature'] = source_temperature[1:] + self.results['HP Cooling Supply Temperature'] = t_sup_hp[1:] + self.results['HP Cooling COP'] = hp_cop[1:] + self.results['HP Electricity Consumption'] = hp_electricity[1:] + self.results['Cooling Loop Flow Rate (kg/s)'] = m[1:] + self.results['Cooling Loop Return Temperature'] = t_ret[1:] return self.results diff --git a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/individual.py b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/individual.py index 8d54a823..465fd172 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/individual.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/individual.py @@ -134,36 +134,40 @@ class Individual: generation_component['heating_capacity'] = random.uniform(0, self.heating_design_load) else: if cte.HEATING in self.demand_types: - generation_component['heating_capacity'] = random.uniform(0, max( - self.design_period_energy_demands[cte.HEATING]['demands']) / cte.WATTS_HOUR_TO_JULES) + generation_component['heating_capacity'] = random.uniform(0, + self.building.heating_peak_load[cte.YEAR][0]) else: - generation_component['heating_capacity'] = random.uniform(0, max( - self.design_period_energy_demands[cte.DOMESTIC_HOT_WATER]['demands']) / cte.WATTS_HOUR_TO_JULES) + generation_component['heating_capacity'] = random.uniform(0, + self.building.domestic_hot_water_peak_load[cte.YEAR][0]) else: generation_component['heating_capacity'] = None if generation_component['nominal_cooling_efficiency'] is not None and cte.COOLING in self.demand_types: if self.cooling_design_load is not None: generation_component['cooling_capacity'] = random.uniform(0, self.cooling_design_load) else: - generation_component['cooling_capacity'] = random.uniform(0, max( - self.design_period_energy_demands[cte.COOLING]['demands']) / cte.WATTS_HOUR_TO_JULES) + generation_component['cooling_capacity'] = random.uniform(0, + self.building.cooling_peak_load[cte.YEAR][0]) else: generation_component['cooling_capacity'] = None if generation_component['nominal_electricity_efficiency'] is None: generation_component['electricity_capacity'] = None for storage_component in storage_components: if storage_component['type'] == f'{cte.THERMAL}_storage': - storage_component['volume'] = random.uniform(0, 0.01 * self.available_space) + storage_operation_range = 10 if cte.DOMESTIC_HOT_WATER in self.demand_types else 20 + storage_energy_capacity = random.uniform(0, 6) + volume = (storage_energy_capacity * self.building.heating_peak_load[cte.YEAR][0] * 3600) / (cte.WATER_HEAT_CAPACITY * 1000 * storage_operation_range) + max_available_space = min(0.01 * self.available_space, volume) + storage_component['volume'] = random.uniform(0, max_available_space) if storage_component['heating_coil_capacity'] is not None: if self.heating_design_load is not None: storage_component['heating_coil_capacity'] = random.uniform(0, self.heating_design_load) else: if cte.HEATING in self.demand_types: - storage_component['heating_coil_capacity'] = random.uniform(0, max( - self.design_period_energy_demands[cte.HEATING]['demands']) / cte.WATTS_HOUR_TO_JULES) + storage_component['heating_coil_capacity'] = random.uniform(0, + self.building.heating_peak_load[cte.YEAR][0]) else: - storage_component['heating_coil_capacity'] = random.uniform(0, max( - self.design_period_energy_demands[cte.DOMESTIC_HOT_WATER]['demands']) / cte.WATTS_HOUR_TO_JULES) + storage_component['heating_coil_capacity'] = random.uniform(0, + self.building.domestic_hot_water_peak_load[cte.YEAR][0]) def score_evaluation(self): self.system_simulation() @@ -284,27 +288,55 @@ class Individual: dt=self.dt).simulation() if min(results['DHW TES Temperature']) < 55: self.feasibility = False - if self.feasibility: - generation_system_types = [generation_system.system_type for generation_system in - self.energy_system.generation_systems] - for generation_component in self.individual['Generation Components']: - if generation_component['type'] in generation_system_types: - index = generation_system_types.index(generation_component['type']) - for demand_type in self.demand_types: - if demand_type in self.energy_system.generation_systems[index].energy_consumption: - generation_component['total_energy_consumption(kWh)'] = (sum( - self.energy_system.generation_systems[index].energy_consumption[demand_type][cte.HOUR]) / 3.6e6) - for storage_component in self.individual['Energy Storage Components']: - if storage_component['type'] == f'{cte.THERMAL}_storage' and storage_component[ - 'heating_coil_capacity'] is not None: - for generation_system in self.energy_system.generation_systems: - if generation_system.energy_storage_systems is not None: - for storage_system in generation_system.energy_storage_systems: - if storage_system.type_energy_stored == cte.THERMAL: - for demand_type in self.demand_types: - if demand_type in storage_system.heating_coil_energy_consumption: - storage_component['total_energy_consumption(kWh)'] = (sum( - storage_system.heating_coil_energy_consumption[demand_type][cte.HOUR]) / 3.6e6) + elif self.building.energy_systems_archetype_cluster_id == '3': + if cte.HEATING in self.demand_types: + hp = self.energy_system.generation_systems[0] + hp.nominal_heat_output = self.individual['Generation Components'][0]['heating_capacity'] + tes = self.energy_system.generation_systems[0].energy_storage_systems[0] + tes.volume = self.individual['Energy Storage Components'][0]['volume'] + tes.height = self.building.average_storey_height - 1 + tes.heating_coil_capacity = self.individual['Energy Storage Components'][0]['heating_coil_capacity'] \ + if self.individual['Energy Storage Components'][0]['heating_coil_capacity'] is not None else None + heating_demand_joules = self.design_period_energy_demands[cte.HEATING]['demands'] + heating_peak_load_watts = max(self.design_period_energy_demands[cte.HEATING]) if \ + (self.heating_design_load is not None) else self.building.heating_peak_load[cte.YEAR][0] + upper_limit_tes_heating = 55 + design_period_start_index = self.design_period_energy_demands[cte.HEATING]['start_index'] + design_period_end_index = self.design_period_energy_demands[cte.HEATING]['end_index'] + outdoor_temperature = self.building.external_temperature[cte.HOUR][ + design_period_start_index:design_period_end_index] + results = HeatPumpBoilerTesHeating(hp=hp, + boiler=None, + tes=tes, + hourly_heating_demand_joules=heating_demand_joules, + heating_peak_load_watts=heating_peak_load_watts, + upper_limit_tes=upper_limit_tes_heating, + outdoor_temperature=outdoor_temperature, + dt=self.dt).simulation() + if min(results['TES Temperature']) < 35: + self.feasibility = False + + if self.feasibility: + generation_system_types = [generation_system.system_type for generation_system in + self.energy_system.generation_systems] + for generation_component in self.individual['Generation Components']: + if generation_component['type'] in generation_system_types: + index = generation_system_types.index(generation_component['type']) + for demand_type in self.demand_types: + if demand_type in self.energy_system.generation_systems[index].energy_consumption: + generation_component['total_energy_consumption(kWh)'] = (sum( + self.energy_system.generation_systems[index].energy_consumption[demand_type][cte.HOUR]) / 3.6e6) + for storage_component in self.individual['Energy Storage Components']: + if storage_component['type'] == f'{cte.THERMAL}_storage' and storage_component[ + 'heating_coil_capacity'] is not None: + for generation_system in self.energy_system.generation_systems: + if generation_system.energy_storage_systems is not None: + for storage_system in generation_system.energy_storage_systems: + if storage_system.type_energy_stored == cte.THERMAL: + for demand_type in self.demand_types: + if demand_type in storage_system.heating_coil_energy_consumption: + storage_component['total_energy_consumption(kWh)'] = (sum( + storage_system.heating_coil_energy_consumption[demand_type][cte.HOUR]) / 3.6e6) def life_cycle_cost_calculation(self, investment_cost, operation_cost_year_0, maintenance_cost_year_0, life_cycle_duration=41): diff --git a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/multi_objective_genetic_algorithm.py b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/multi_objective_genetic_algorithm.py index 142be4e6..0b9d9816 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/multi_objective_genetic_algorithm.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/genetic_algorithm/multi_objective_genetic_algorithm.py @@ -38,12 +38,14 @@ class MultiObjectiveGeneticAlgorithm: operators such as crossover and mutation rates. """ - def __init__(self, population_size=100, generations=100, crossover_rate=0.9, mutation_rate=0.1, - number_of_selected_solutions=None, optimization_scenario=None): + def __init__(self, population_size=100, generations=50, initial_crossover_rate=0.9, final_crossover_rate=0.5, + mutation_rate=0.1, number_of_selected_solutions=None, optimization_scenario=None): self.population_size = population_size self.population = [] self.generations = generations - self.crossover_rate = crossover_rate + self.initial_crossover_rate = initial_crossover_rate + self.final_crossover_rate = final_crossover_rate + self.crossover_rate = initial_crossover_rate # Initial value self.mutation_rate = mutation_rate self.optimization_scenario = optimization_scenario self.number_of_selected_solutions = number_of_selected_solutions @@ -95,8 +97,9 @@ class MultiObjectiveGeneticAlgorithm: individual.initialization() individual.score_evaluation() attempts += 1 - if individual.feasibility: - self.population.append(individual) + self.population.append(individual) + # if individual.feasibility: + # self.population.append(individual) if len(self.population) < self.population_size: raise RuntimeError(f"Could not generate a feasible population of size {self.population_size}. " f"Only {len(self.population)} feasible individuals were generated.") @@ -259,7 +262,11 @@ class MultiObjectiveGeneticAlgorithm: for storage_component in individual['Energy Storage Components']: if random.random() < self.mutation_rate: if storage_component['type'] == f'{cte.THERMAL}_storage': - max_available_space = 0.01 * building.volume / building.storeys_above_ground + storage_operation_range = 10 if cte.DOMESTIC_HOT_WATER in energy_system.demand_types else 20 + storage_energy_capacity = random.uniform(0, 6) + volume = (storage_energy_capacity * max(design_period_energy_demands[cte.HEATING]['demands'])) / ( + cte.WATER_HEAT_CAPACITY * 1000 * storage_operation_range) + max_available_space = min(0.01 * building.volume / building.storeys_above_ground, volume) storage_component['volume'] = abs(polynomial_mutation_operator(storage_component['volume'], 0, max_available_space)) if storage_component['heating_coil_capacity'] is not None: @@ -442,7 +449,11 @@ class MultiObjectiveGeneticAlgorithm: def solve_ga(self, building, energy_system): self.initialize_population(building, energy_system) + solutions = {} for n in range(self.generations + 1): + # self.crossover_rate = self.initial_crossover_rate + \ + # (self.final_crossover_rate - self.initial_crossover_rate) * (n / self.generations) + solutions[f'generation_{n}'] = [individual.fitness_score for individual in self.population] print(n) progeny_population = [] while len(progeny_population) < self.population_size: @@ -591,13 +602,13 @@ class MultiObjectiveGeneticAlgorithm: def get_start_end_indices(max_day_index, total_days): if 0 < max_day_index < total_days - 1: - start_index = (max_day_index - 1) * 24 - end_index = (max_day_index + 2) * 24 + start_index = (max_day_index - 5) * 24 + end_index = (max_day_index + 5) * 24 elif max_day_index == 0: start_index = 0 - end_index = (max_day_index + 2) * 24 + end_index = (max_day_index + 10) * 24 else: - start_index = (max_day_index - 2) * 24 + start_index = (max_day_index - 10) * 24 end_index = total_days * 24 return start_index, end_index diff --git a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/peak_load_sizing.py b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/peak_load_sizing.py index 1f1fe74a..e5e79d8e 100644 --- a/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/peak_load_sizing.py +++ b/energy_system_modelling_package/energy_system_modelling_factories/system_sizing_methods/peak_load_sizing.py @@ -49,7 +49,7 @@ class PeakLoadSizing: if len(energy_system.generation_systems) == 1: # If there's only one generation system, it gets the full design load. if demand_type == cte.HEATING or demand_type == cte.DOMESTIC_HOT_WATER: - energy_system.generation_systems[0].nominal_heat_output = design_load + energy_system.generation_systems[0].nominal_heat_output = 0.7 * design_load elif demand_type == cte.COOLING: energy_system.generation_systems[0].nominal_cooling_output = design_load else: diff --git a/hub/data/costs/montreal_costs_completed.xml b/hub/data/costs/montreal_costs_completed.xml index 162188a9..6705e36a 100644 --- a/hub/data/costs/montreal_costs_completed.xml +++ b/hub/data/costs/montreal_costs_completed.xml @@ -85,8 +85,8 @@ - 50 - 50 + 2000 + 2000 15 diff --git a/hub/data/energy_systems/montreal_future_systems.xml b/hub/data/energy_systems/montreal_future_systems.xml index fc672497..b2125758 100644 --- a/hub/data/energy_systems/montreal_future_systems.xml +++ b/hub/data/energy_systems/montreal_future_systems.xml @@ -715,7 +715,7 @@ COP source_temperature supply_temperature - + @@ -2145,6 +2145,12 @@ 1 + + Central Hydronic Air Source Heat Pump System with Storage + + 8 + + diff --git a/hub/exports/building_energy/insel/insel_monthly_energy_balance.py b/hub/exports/building_energy/insel/insel_monthly_energy_balance.py index 329e9a13..c1b06764 100644 --- a/hub/exports/building_energy/insel/insel_monthly_energy_balance.py +++ b/hub/exports/building_energy/insel/insel_monthly_energy_balance.py @@ -4,8 +4,9 @@ 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 glob import logging +import subprocess from pathlib import Path import numpy as np @@ -57,6 +58,7 @@ class InselMonthlyEnergyBalance: self._generate_meb_template(building, output_path, self._custom_insel_block) ) self._export() + self._run() @staticmethod def _add_block(file, block_number, block_type, inputs=None, parameters=None): @@ -77,6 +79,17 @@ class InselMonthlyEnergyBalance: with open(Path(self._path / file_name).resolve(), 'w', encoding='utf8') as insel_file: insel_file.write(content) + def _run(self): + """ + Calls the software + """ + try: + _insel_files = glob.glob(f'{self._path}/*.insel') + for insel_file in _insel_files: + subprocess.run(['insel', str(insel_file)], stdout=subprocess.DEVNULL) + except (subprocess.SubprocessError, subprocess.TimeoutExpired, subprocess.CalledProcessError) as error: + raise Exception(error) + def _sanity_check(self): levels_of_detail = self._city.level_of_detail if levels_of_detail.geometry is None: @@ -115,6 +128,8 @@ class InselMonthlyEnergyBalance: inputs.append(f"{str(100 + i)}.1 % Radiation surface {str(i)}") number_of_storeys = int(building.eave_height / building.average_storey_height) + if number_of_storeys == 0: + number_of_storeys = 1 attic_heated = building.attic_heated basement_heated = building.basement_heated if building.attic_heated is None: @@ -189,6 +204,34 @@ class InselMonthlyEnergyBalance: for day_type in schedule.day_types: infiltration += infiltration_day * cte.WEEK_DAYS_A_YEAR[day_type] / 365 ventilation += ventilation_day * cte.WEEK_DAYS_A_YEAR[day_type] / 365 + # total_exclusive_wall_area = 0 + # for thermal_boundary in thermal_zone.thermal_boundaries: + # wall_area = 0 + # if thermal_boundary.type == cte.WALL: + # wall_area = thermal_boundary.opaque_area * (1 + thermal_boundary.window_ratio) + # if thermal_boundary.parent_surface.percentage_shared is not None: + # wall_area = wall_area * (1 - thermal_boundary.parent_surface.percentage_shared) + # total_exclusive_wall_area += wall_area + # for schedule in usage.thermal_control.hvac_availability_schedules: + # ventilation_day = 0 + # infiltration_day = 0 + # for value in schedule.values: + # if value == 0: + # infiltration_day += internal_zone.thermal_zones_from_internal_zones[0].infiltration_rate_area_system_off * total_exclusive_wall_area / 24 * cte.INFILTRATION_75PA_TO_4PA * cte.HOUR_TO_SECONDS / building.volume + # ventilation_day += 0 + # else: + # ventilation_value = usage.mechanical_air_change * value * cte.HOUR_TO_SECONDS + # infiltration_value = internal_zone.thermal_zones_from_internal_zones[0].infiltration_rate_area_system_off * value * total_exclusive_wall_area * cte.INFILTRATION_75PA_TO_4PA * cte.HOUR_TO_SECONDS / building.volume + # if ventilation_value >= infiltration_value: + # ventilation_day += ventilation_value / 24 + # infiltration_day += 0 + # else: + # ventilation_day += 0 + # infiltration_day += infiltration_value / 24 + # for day_type in schedule.day_types: + # infiltration += infiltration_day * cte.WEEK_DAYS_A_YEAR[day_type] / 365 + # ventilation += ventilation_day * cte.WEEK_DAYS_A_YEAR[day_type] / 365 + ventilation_infiltration = ventilation + infiltration parameters.append(f'{ventilation_infiltration} % BP(18) #8 Minimum air change rate zone {i + 1} (ACH)') diff --git a/input_files/anjou.geojson b/input_files/anjou.geojson new file mode 100644 index 00000000..0b5300ff --- /dev/null +++ b/input_files/anjou.geojson @@ -0,0 +1,10393 @@ +{ + "type": "FeatureCollection", + "features": [ + { + "type": "Feature", + "geometry": { + "type": "Polygon", + "coordinates": [ + [ + [ + -73.58325428209812, + 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-from energy_system_modelling_package.energy_system_modelling_factories.system_sizing_methods.genetic_algorithm.multi_objective_genetic_algorithm import MultiObjectiveGeneticAlgorithm -from hub.imports.geometry_factory import GeometryFactory -from hub.helpers.dictionaries import Dictionaries -from hub.imports.construction_factory import ConstructionFactory -from hub.imports.usage_factory import UsageFactory -from hub.imports.weather_factory import WeatherFactory -from hub.imports.results_factory import ResultFactory -import hub.helpers.constants as cte -from building_modelling.geojson_creator import process_geojson -from energy_system_modelling_package import random_assignation -from hub.imports.energy_systems_factory import EnergySystemsFactory -from energy_system_modelling_package.energy_system_modelling_factories.energy_system_sizing_factory import \ - EnergySystemsSizingFactory -from energy_system_modelling_package.energy_system_retrofit.energy_system_retrofit_results import consumption_data, \ - cost_data -from costing_package.cost import Cost -from costing_package.constants import * -from hub.exports.exports_factory import ExportsFactory - -# Specify the GeoJSON file path -input_files_path = (Path(__file__).parent / 'input_files') -input_files_path.mkdir(parents=True, exist_ok=True) -geojson_file = process_geojson(x=-73.5681295982132, y=45.49218262677643, diff=0.00006) -geojson_file_path = input_files_path / 'output_buildings.geojson' -output_path = (Path(__file__).parent / 'out_files').resolve() -output_path.mkdir(parents=True, exist_ok=True) -energy_plus_output_path = output_path / 'energy_plus_outputs' -energy_plus_output_path.mkdir(parents=True, exist_ok=True) -simulation_results_path = (Path(__file__).parent / 'out_files' / 'simulation_results').resolve() -simulation_results_path.mkdir(parents=True, exist_ok=True) -sra_output_path = output_path / 'sra_outputs' -sra_output_path.mkdir(parents=True, exist_ok=True) -cost_analysis_output_path = output_path / 'cost_analysis' -cost_analysis_output_path.mkdir(parents=True, exist_ok=True) -city = GeometryFactory(file_type='geojson', - path=geojson_file_path, - height_field='height', - year_of_construction_field='year_of_construction', - function_field='function', - function_to_hub=Dictionaries().montreal_function_to_hub_function).city -ConstructionFactory('nrcan', city).enrich() -UsageFactory('nrcan', city).enrich() -WeatherFactory('epw', city).enrich() -ExportsFactory('sra', city, sra_output_path).export() -sra_path = (sra_output_path / f'{city.name}_sra.xml').resolve() -subprocess.run(['sra', str(sra_path)]) -ResultFactory('sra', city, sra_output_path).enrich() -energy_plus_workflow(city, energy_plus_output_path) -random_assignation.call_random(city.buildings, random_assignation.residential_new_systems_percentage) -EnergySystemsFactory('montreal_future', city).enrich() -for building in city.buildings: - design_period_demands = MultiObjectiveGeneticAlgorithm(optimization_scenario='energy-consumption_cost').design_period_identification(city.buildings[0]) - heating_demand = design_period_demands[cte.HEATING]['demands'] diff --git a/test.py b/test.py index 644d3548..aa1bc718 100644 --- a/test.py +++ b/test.py @@ -55,4 +55,6 @@ random_assignation.call_random(city.buildings, random_assignation.residential_ne EnergySystemsFactory('montreal_future', city).enrich() for building in city.buildings: energy_system = building.energy_systems[1] - MultiObjectiveGeneticAlgorithm(optimization_scenario='energy-consumption_cost').solve_ga(building, energy_system) + solutions = MultiObjectiveGeneticAlgorithm(optimization_scenario='energy-consumption_cost').solve_ga(building, + energy_system) +