optimization #17
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@ -92,9 +92,8 @@ for building in city.buildings:
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fuel_tariffs=['Electricity-D', 'Gas-Energir']).life_cycle
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lcc_dataframe.to_csv(cost_analysis_output_path / f'{building.name}_retrofitted_lcc.csv')
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retrofitted_life_cycle_cost[f'{building.name}'] = cost_data(building, lcc_dataframe, cost_retrofit_scenario)
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for i in range(12):
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dhw_consumption = 0
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for building in city.buildings:
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dhw_consumption += building.domestic_hot_water_consumption[cte.MONTH][i] / 3.6e6
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EnergySystemRetrofitReport(city, output_path, 'PV Implementation and System Retrofit',
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current_status_energy_consumption, retrofitted_energy_consumption,
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current_status_life_cycle_cost, retrofitted_life_cycle_cost).create_report()
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863
input_files/output_buildings_expanded.geojson
Normal file
863
input_files/output_buildings_expanded.geojson
Normal file
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@ -0,0 +1,863 @@
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||||
[
|
||||
-73.56794516904765,
|
||||
45.49174634225465
|
||||
],
|
||||
[
|
||||
-73.56753896905731,
|
||||
45.491638642248425
|
||||
],
|
||||
[
|
||||
-73.56742736898599,
|
||||
45.49184704208998
|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 176918,
|
||||
"properties": {
|
||||
"name": "01097185",
|
||||
"address": "rue Victor-Hugo (MTL) 1591",
|
||||
"function": "1000",
|
||||
"height": 10,
|
||||
"year_of_construction": 1987
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56773125185198,
|
||||
45.492477239659124
|
||||
],
|
||||
[
|
||||
-73.56769087843276,
|
||||
45.49251875903776
|
||||
],
|
||||
[
|
||||
-73.56781916241786,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56785890467093,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56773125185198,
|
||||
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|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 178164,
|
||||
"properties": {
|
||||
"name": "01044615",
|
||||
"address": "rue Victor-Hugo (MTL) 1660",
|
||||
"function": "1000",
|
||||
"height": 9,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56846877951091,
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||||
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|
||||
],
|
||||
[
|
||||
-73.56842962331187,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56855549071014,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56859506290321,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56846877951091,
|
||||
45.4917152818903
|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 179679,
|
||||
"properties": {
|
||||
"name": "01044588",
|
||||
"address": "rue Victor-Hugo (MTL) 1596",
|
||||
"function": "1000",
|
||||
"height": 9,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56825635009473,
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||||
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|
||||
],
|
||||
[
|
||||
-73.56821589168355,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.5683477837006,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56838787594006,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56825635009473,
|
||||
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|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 179789,
|
||||
"properties": {
|
||||
"name": "01044595",
|
||||
"address": "rue Victor-Hugo (MTL) 1610",
|
||||
"function": "1000",
|
||||
"height": 8,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56821589168355,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56817543449134,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56830763251781,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.5683477837006,
|
||||
45.4920353716151
|
||||
],
|
||||
[
|
||||
-73.56821589168355,
|
||||
45.491972368627906
|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 181310,
|
||||
"properties": {
|
||||
"name": "01044597",
|
||||
"address": "rue Victor-Hugo (MTL) 1616",
|
||||
"function": "1000",
|
||||
"height": 8,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56809506939487,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56809246893268,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56821287000538,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56822186852654,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56826745951075,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56813497596143,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56809506939487,
|
||||
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|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 182393,
|
||||
"properties": {
|
||||
"name": "01044601",
|
||||
"address": "rue Victor-Hugo (MTL) 1626",
|
||||
"function": "1000",
|
||||
"height": 8,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56790756893894,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56790222258577,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56803643080562,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56807651582375,
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||||
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||||
],
|
||||
[
|
||||
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||||
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||||
],
|
||||
[
|
||||
-73.56790756893894,
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||||
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||||
]
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||||
]
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||||
]
|
||||
},
|
||||
"id": 182442,
|
||||
"properties": {
|
||||
"name": "01044609",
|
||||
"address": "rue Victor-Hugo (MTL) 1646",
|
||||
"function": "1000",
|
||||
"height": 11,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
},
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.56829706912258,
|
||||
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|
||||
],
|
||||
[
|
||||
-73.56825635009473,
|
||||
45.49193088860213
|
||||
],
|
||||
[
|
||||
-73.56838787594006,
|
||||
45.49199371809223
|
||||
],
|
||||
[
|
||||
-73.56842846901456,
|
||||
45.49195154234486
|
||||
],
|
||||
[
|
||||
-73.56829706912258,
|
||||
45.49188914205178
|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"id": 182546,
|
||||
"properties": {
|
||||
"name": "01044592",
|
||||
"address": "rue Victor-Hugo (MTL) 1606",
|
||||
"function": "1000",
|
||||
"height": 8,
|
||||
"year_of_construction": 1986
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
8
main.py
8
main.py
|
|
@ -27,8 +27,8 @@ import numpy as np
|
|||
data = {}
|
||||
input_files_path = (Path(__file__).parent / 'input_files')
|
||||
input_files_path.mkdir(parents=True, exist_ok=True)
|
||||
# geojson_file = process_geojson(x=-73.58001358793511, y=45.496445294438715, diff=0.0001)
|
||||
geojson_file_path = input_files_path / 'test_geojson1.geojson'
|
||||
geojson_file = process_geojson(x=-73.58001358793511, y=45.496445294438715, diff=0.0001)
|
||||
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'
|
||||
|
|
@ -45,8 +45,8 @@ city = GeometryFactory(file_type='geojson',
|
|||
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()
|
||||
ConstructionFactory('nrcan', city).enrich()
|
||||
UsageFactory('nrcan', city).enrich()
|
||||
# WeatherFactory('epw', city).enrich()
|
||||
# energy_plus_workflow(city, energy_plus_output_path)
|
||||
# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
|
||||
|
|
|
|||
26
scripts/optimization/energy_system_sizing_optimization.py
Normal file
26
scripts/optimization/energy_system_sizing_optimization.py
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
import random
|
||||
import numpy as np
|
||||
import hub.helpers.constants as cte
|
||||
|
||||
class EnergySystemOptimizer:
|
||||
def __init__(self, building, objectives, population_size=20, number_of_generations=100, crossover_rate=0.8,
|
||||
mutation_rate=0.1):
|
||||
self.building = building
|
||||
self.objectives = objectives
|
||||
self.population_size = population_size
|
||||
self.num_gen = number_of_generations
|
||||
self.crossover_rate = crossover_rate
|
||||
self.mutation_rate = mutation_rate
|
||||
|
||||
# Initialize population
|
||||
def initialize_population(self):
|
||||
population = []
|
||||
for _ in range(self.population_size):
|
||||
individual = [
|
||||
random.uniform(0.1, 10.0), # hp_size
|
||||
random.uniform(0.1, 10.0), # boiler_size
|
||||
random.uniform(0.1, 10.0), # tes_size
|
||||
random.uniform(40, 60) # cutoff_temp
|
||||
]
|
||||
population.append(individual)
|
||||
return population
|
||||
16
scripts/optimization/objectives.py
Normal file
16
scripts/optimization/objectives.py
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
# Objective functions
|
||||
MINIMUM_LCC = 1
|
||||
MINIMUM_EC = 2
|
||||
MINIMUM_EMISSIONS = 3
|
||||
MINIMUM_LCC_MINIMUM_EC = 4
|
||||
MINIMUM_LCC_MINIMUM_EMISSIONS = 5
|
||||
MINIMUM_EC_MINIMUM_EMISSIONS = 6
|
||||
MINIMUM_LCC_MINIMUM_EC_MINIMUM_EMISSIONS = 7
|
||||
OBJECTIVE_FUNCTIONS = [MINIMUM_LCC,
|
||||
MINIMUM_EC,
|
||||
MINIMUM_EMISSIONS,
|
||||
MINIMUM_LCC_MINIMUM_EC,
|
||||
MINIMUM_LCC_MINIMUM_EMISSIONS,
|
||||
MINIMUM_EC_MINIMUM_EMISSIONS,
|
||||
MINIMUM_LCC_MINIMUM_EC_MINIMUM_EMISSIONS]
|
||||
|
||||
|
|
@ -28,8 +28,8 @@ residential_systems_percentage = {'system 1 gas': 15,
|
|||
'system 8 gas': 15,
|
||||
'system 8 electricity': 35}
|
||||
|
||||
residential_new_systems_percentage = {'PV+ASHP+GasBoiler+TES': 100,
|
||||
'PV+4Pipe+DHW': 0,
|
||||
residential_new_systems_percentage = {'PV+ASHP+GasBoiler+TES': 0,
|
||||
'PV+4Pipe+DHW': 100,
|
||||
'PV+ASHP+ElectricBoiler+TES': 0,
|
||||
'PV+GSHP+GasBoiler+TES': 0,
|
||||
'PV+GSHP+ElectricBoiler+TES': 0,
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ from hub.helpers.monthly_values import MonthlyValues
|
|||
|
||||
|
||||
class Archetype13:
|
||||
def __init__(self, building, output_path):
|
||||
def __init__(self, building, output_path, csv_output=True,):
|
||||
self._building = building
|
||||
self._name = building.name
|
||||
self._pv_system = building.energy_systems[0]
|
||||
|
|
@ -25,6 +25,7 @@ class Archetype13:
|
|||
self._t_out = building.external_temperature[cte.HOUR]
|
||||
self.results = {}
|
||||
self.dt = 900
|
||||
self.csv_output = csv_output
|
||||
|
||||
def hvac_sizing(self):
|
||||
storage_factor = 3
|
||||
|
|
@ -374,10 +375,11 @@ class Archetype13:
|
|||
MonthlyValues.get_total_month(self._building.domestic_hot_water_consumption[cte.HOUR]))
|
||||
self._building.domestic_hot_water_consumption[cte.YEAR] = [
|
||||
sum(self._building.domestic_hot_water_consumption[cte.MONTH])]
|
||||
file_name = f'energy_system_simulation_results_{self._name}.csv'
|
||||
with open(self._output_path / file_name, 'w', newline='') as csvfile:
|
||||
output_file = csv.writer(csvfile)
|
||||
# Write header
|
||||
output_file.writerow(self.results.keys())
|
||||
# Write data
|
||||
output_file.writerows(zip(*self.results.values()))
|
||||
if self.csv_output:
|
||||
file_name = f'energy_system_simulation_results_{self._name}.csv'
|
||||
with open(self._output_path / file_name, 'w', newline='') as csvfile:
|
||||
output_file = csv.writer(csvfile)
|
||||
# Write header
|
||||
output_file.writerow(self.results.keys())
|
||||
# Write data
|
||||
output_file.writerows(zip(*self.results.values()))
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user