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2 Commits
a474a7d97e
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8f1cbd4a67
| Author | SHA1 | Date | |
|---|---|---|---|
| 8f1cbd4a67 | |||
| 05d88e2461 |
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@ -92,7 +92,9 @@ 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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(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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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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@ -927,7 +927,7 @@
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<dependant_variable>COP</dependant_variable>
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<parameters>source_temperature</parameters>
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<parameters>supply_temperature</parameters>
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<coefficients a="-0.000277" b="0.019639" c="0.000004" d="0.012190" e="-0.00010" f="-0.000277"/>
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<coefficients a="1.039924" b="0.014600" c="0.000006" d="-0.05026" e="0.000635" f="-0.000154"/>
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</heat_efficiency_curve>
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<cooling_output_curve/>
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<cooling_fuel_consumption_curve/>
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@ -1052,7 +1052,7 @@
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<nominal_heat_output/>
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<minimum_heat_output/>
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<maximum_heat_output/>
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<heat_efficiency>3.5</heat_efficiency>
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<heat_efficiency>3.2</heat_efficiency>
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<reversible/>
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<fuel_type>electricity</fuel_type>
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<source_medium>Air</source_medium>
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@ -1076,7 +1076,7 @@
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<dependant_variable>COP</dependant_variable>
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<parameters>source_temperature</parameters>
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<parameters>supply_temperature</parameters>
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<coefficients a="1.990668" b="0" c="0" d="-0.027252" e="0.000131" f="0"/>
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<coefficients a="1.19713" b="0.077849" c="-0.0000016" d="-0.02675" e="0.000296" f="-0.00112"/>
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</heat_efficiency_curve>
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<cooling_output_curve/>
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<cooling_fuel_consumption_curve/>
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@ -129,16 +129,24 @@ class Geojson:
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function = str(feature['properties'][self._function_field])
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if function == 'Mixed use' or function == 'mixed use':
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function_parts = []
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for key, value in feature['properties'].items():
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if key.startswith("mixed_type_") and not key.endswith("_percentage"):
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type_key = key
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percentage_key = f"{key}_percentage"
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if percentage_key in feature['properties']:
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if self._function_to_hub is not None and feature['properties'][type_key] in self._function_to_hub:
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usage_function = self._function_to_hub[feature['properties'][type_key]]
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function_parts.append(f"{feature['properties'][percentage_key]}-{usage_function}")
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else:
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function_parts.append(f"{feature['properties'][percentage_key]}-{feature['properties'][type_key]}")
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if 'usages' in feature['properties']:
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usages = feature['properties']['usages']
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for usage in usages:
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if self._function_to_hub is not None and usage['usage'] in self._function_to_hub:
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function_parts.append(f"{usage['percentage']}-{self._function_to_hub[usage['usage']]}")
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else:
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function_parts.append(f"{usage['percentage']}-{usage['usage']}")
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else:
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for key, value in feature['properties'].items():
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if key.startswith("mixed_type_") and not key.endswith("_percentage"):
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type_key = key
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percentage_key = f"{key}_percentage"
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if percentage_key in feature['properties']:
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if self._function_to_hub is not None and feature['properties'][type_key] in self._function_to_hub:
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usage_function = self._function_to_hub[feature['properties'][type_key]]
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function_parts.append(f"{feature['properties'][percentage_key]}-{usage_function}")
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else:
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function_parts.append(f"{feature['properties'][percentage_key]}-{feature['properties'][type_key]}")
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function = "_".join(function_parts)
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if self._function_to_hub is not None:
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# use the transformation dictionary to retrieve the proper function
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52
input_files/test_geojson1.geojson
Normal file
52
input_files/test_geojson1.geojson
Normal file
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@ -0,0 +1,52 @@
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{
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"type": "FeatureCollection",
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"features": [
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{
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"type": "Feature",
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"geometry": {
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"type": "Polygon",
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"coordinates": [
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[
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[
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-73.58000127109773,
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45.49613461675315
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],
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[
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-73.57962787855432,
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45.496524875557746
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],
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[
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-73.57996357265695,
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45.49668114195629
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],
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[
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-73.57996427397713,
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45.496680342403664
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],
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[
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-73.58034707390021,
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45.49625804233725
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],
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[
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-73.58034697395713,
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45.496257942524835
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],
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[
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-73.58000127109773,
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45.49613461675315
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]
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]
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]
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},
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"id": 179764,
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"properties": {
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"name": "01119274",
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"address": "rue Guy (MTL) 2157",
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"function": "Mixed use",
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"usages": [{"usage": "commercial", "percentage": 50}, {"usage": "6000", "percentage": 50}],
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"height": 62,
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"year_of_construction": 1954
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}
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}
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]
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}
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78
main.py
78
main.py
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@ -28,7 +28,7 @@ data = {}
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input_files_path = (Path(__file__).parent / 'input_files')
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input_files_path.mkdir(parents=True, exist_ok=True)
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# geojson_file = process_geojson(x=-73.58001358793511, y=45.496445294438715, diff=0.0001)
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geojson_file_path = input_files_path / 'test_geojson.geojson'
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geojson_file_path = input_files_path / 'test_geojson1.geojson'
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output_path = (Path(__file__).parent / 'out_files').resolve()
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output_path.mkdir(parents=True, exist_ok=True)
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energy_plus_output_path = output_path / 'energy_plus_outputs'
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@ -45,42 +45,42 @@ city = GeometryFactory(file_type='geojson',
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year_of_construction_field='year_of_construction',
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function_field='function',
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function_to_hub=Dictionaries().montreal_function_to_hub_function).city
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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WeatherFactory('epw', city).enrich()
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energy_plus_workflow(city, energy_plus_output_path)
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data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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city.buildings[0].function = cte.COMMERCIAL
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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energy_plus_workflow(city, energy_plus_output_path)
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data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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city.buildings[0].function = cte.MEDIUM_OFFICE
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ConstructionFactory('nrcan', city).enrich()
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UsageFactory('nrcan', city).enrich()
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energy_plus_workflow(city, energy_plus_output_path)
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data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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categories = list(data.keys())
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values = list(data.values())
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# Plotting
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fig, ax = plt.subplots(figsize=(10, 6), dpi=96)
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fig.suptitle('Impact of different usages on yearly heating demand', fontsize=16, weight='bold', alpha=.8)
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ax.bar(categories, values, color=['#2196f3', '#ff5a5f', '#4caf50'], width=0.6, zorder=2)
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ax.grid(which="major", axis='x', color='#DAD8D7', alpha=0.5, zorder=1)
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ax.grid(which="major", axis='y', color='#DAD8D7', alpha=0.5, zorder=1)
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ax.set_xlabel('Building Type', fontsize=12, labelpad=10)
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ax.set_ylabel('Energy Consumption (MWh)', fontsize=14, labelpad=10)
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ax.yaxis.set_major_locator(plt.MaxNLocator(integer=True))
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ax.set_xticks(np.arange(len(categories)))
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ax.set_xticklabels(categories, rotation=45, ha='right')
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ax.bar_label(ax.containers[0], padding=3, color='black', fontsize=12, rotation=0)
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ax.spines[['top', 'left', 'bottom']].set_visible(False)
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ax.spines['right'].set_linewidth(1.1)
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# Set a white background
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fig.patch.set_facecolor('white')
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# Adjust the margins around the plot area
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plt.subplots_adjust(left=0.1, right=0.9, top=0.85, bottom=0.25)
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# Save the plot
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plt.savefig('plot_nrcan.png', bbox_inches='tight')
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plt.close()
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# WeatherFactory('epw', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# city.buildings[0].function = cte.COMMERCIAL
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# city.buildings[0].function = cte.MEDIUM_OFFICE
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# ConstructionFactory('nrcan', city).enrich()
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# UsageFactory('nrcan', city).enrich()
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# energy_plus_workflow(city, energy_plus_output_path)
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# data[f'{city.buildings[0].function}'] = city.buildings[0].heating_demand[cte.YEAR][0] / 3.6e9
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# categories = list(data.keys())
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# values = list(data.values())
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# # Plotting
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# fig, ax = plt.subplots(figsize=(10, 6), dpi=96)
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# fig.suptitle('Impact of different usages on yearly heating demand', fontsize=16, weight='bold', alpha=.8)
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# ax.bar(categories, values, color=['#2196f3', '#ff5a5f', '#4caf50'], width=0.6, zorder=2)
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# ax.grid(which="major", axis='x', color='#DAD8D7', alpha=0.5, zorder=1)
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# ax.grid(which="major", axis='y', color='#DAD8D7', alpha=0.5, zorder=1)
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# ax.set_xlabel('Building Type', fontsize=12, labelpad=10)
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# ax.set_ylabel('Energy Consumption (MWh)', fontsize=14, labelpad=10)
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# ax.yaxis.set_major_locator(plt.MaxNLocator(integer=True))
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# ax.set_xticks(np.arange(len(categories)))
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# ax.set_xticklabels(categories, rotation=45, ha='right')
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# ax.bar_label(ax.containers[0], padding=3, color='black', fontsize=12, rotation=0)
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# ax.spines[['top', 'left', 'bottom']].set_visible(False)
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# ax.spines['right'].set_linewidth(1.1)
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# # Set a white background
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# fig.patch.set_facecolor('white')
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# # Adjust the margins around the plot area
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# plt.subplots_adjust(left=0.1, right=0.9, top=0.85, bottom=0.25)
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# # Save the plot
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# plt.savefig('plot_nrcan.png', bbox_inches='tight')
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# plt.close()
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print('test')
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@ -19,6 +19,8 @@ class Archetype1:
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self._hourly_dhw_demand = building.domestic_hot_water_heat_demand[cte.HOUR]
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self._output_path = output_path
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self._t_out = [0] + building.external_temperature[cte.HOUR]
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self.results = {}
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self.dt = 900
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def hvac_sizing(self):
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storage_factor = 3
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@ -29,13 +31,26 @@ class Archetype1:
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heat_pump.nominal_cooling_output = round(self._cooling_peak_load / 3600)
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boiler.nominal_heat_output = round(0.5 * self._heating_peak_load / 3600)
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thermal_storage.volume = round(
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(self._heating_peak_load * storage_factor) / (cte.WATER_HEAT_CAPACITY * cte.WATER_DENSITY * 30))
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(self._heating_peak_load * storage_factor * cte.WATTS_HOUR_TO_JULES) /
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(cte.WATER_HEAT_CAPACITY * cte.WATER_DENSITY * 25))
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return heat_pump, boiler, thermal_storage
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def dhw_sizing(self):
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storage_factor = 3
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dhw_hp = self._dhw_system.generation_systems[0]
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dhw_hp.nominal_heat_output = 0.7 * self._domestic_hot_water_peak_load
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dhw_hp.source_temperature = self._t_out
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dhw_tes = dhw_hp.energy_storage_systems[0]
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dhw_tes.volume = round(
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(self._domestic_hot_water_peak_load * storage_factor * 3600) / (cte.WATER_HEAT_CAPACITY * cte.WATER_DENSITY * 10))
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return dhw_hp, dhw_tes
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def heating_system_simulation(self):
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hp, boiler, tes = self.hvac_sizing()
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cop_curve_coefficients = [float(coefficient) for coefficient in hp.heat_efficiency_curve.coefficients]
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demand = self._hourly_heating_demand
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number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
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demand = [0] + [x for x in self._hourly_heating_demand for _ in range(number_of_ts)]
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t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
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hp.source_temperature = self._t_out
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# Heating System Simulation
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variable_names = ["t_sup_hp", "t_tank", "t_ret", "m_ch", "m_dis", "q_hp", "q_boiler", "hp_cop",
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@ -61,7 +76,7 @@ class Archetype1:
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for i in range(len(demand) - 1):
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t_tank[i + 1] = (t_tank[i] +
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((m_ch[i] * (t_sup_hp[i] - t_tank[i])) +
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(ua * (self._t_out[i] - t_tank[i] + 5)) / cte.WATER_HEAT_CAPACITY -
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(ua * (t_out[i] - t_tank[i])) / cte.WATER_HEAT_CAPACITY -
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m_dis[i] * (t_tank[i] - t_ret[i])) * (dt / (cte.WATER_DENSITY * v)))
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if t_tank[i + 1] < 40:
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q_hp[i + 1] = hp_heating_cap
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@ -77,16 +92,16 @@ class Archetype1:
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t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cte.WATER_HEAT_CAPACITY)) + t_tank[i + 1]
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else:
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q_hp[i + 1], m_ch[i + 1], t_sup_hp[i + 1] = 0, 0, t_tank[i + 1]
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t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i + 1] + 32
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t_out_fahrenheit = 1.8 * self._t_out[i + 1] + 32
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t_tank_fahrenheit = 1.8 * t_tank[i + 1] + 32
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t_out_fahrenheit = 1.8 * t_out[i + 1] + 32
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if q_hp[i + 1] > 0:
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hp_cop[i + 1] = (cop_curve_coefficients[0] +
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cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
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cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
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hp_cop[i + 1] = (1 / (cop_curve_coefficients[0] +
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cop_curve_coefficients[1] * t_tank_fahrenheit +
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cop_curve_coefficients[2] * t_tank_fahrenheit ** 2 +
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cop_curve_coefficients[3] * t_out_fahrenheit +
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cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
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cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
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hp_electricity[i + 1] = q_hp[i + 1] / hp_efficiency
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cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_efficiency
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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 + 1] = 0
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hp_electricity[i + 1] = 0
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@ -110,101 +125,253 @@ class Archetype1:
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boiler_gas[i + 1] = (q_boiler[i + 1] * dt) / cte.NATURAL_GAS_LHV
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boiler_consumption[i + 1] = q_boiler[i + 1] / boiler_efficiency
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heating_consumption[i + 1] = boiler_consumption[i + 1] + hp_electricity[i + 1]
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data = list(zip(self._t_out, q_hp, hp_electricity, hp_cop, m_ch, t_sup_hp, t_tank, m_dis, q_boiler,
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boiler_gas, t_sup_boiler, t_ret, demand))
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file_name = f'heating_system_simulation_results_{self._name}.csv'
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with open(self._output_path / file_name, 'w', newline='') as csvfile:
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output_file = csv.writer(csvfile)
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# Write header
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output_file.writerow(['Outside_air_temperature', 'HP_heat_output(W)', 'HP_heating_electricity_consumption(W)',
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'HP_COP', 'TES_charge_flow_rate(kg/s)', 'TES_supply_temperature(C)', 'TES_temperature(C)',
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'TES_discharge_flow_rate(kg/s)', 'Boiler_heat_output(W)', 'Boiler_gas_consumption(m3)',
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'Boiler_supply_temperature(C)', 'Heating_loop_return_temperature(C)', 'Heating_demand (W)'])
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# Write data
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output_file.writerows(data)
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return heating_consumption, hp_electricity, boiler_consumption, t_sup_hp, t_sup_boiler
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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_consumption]
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hp_hourly = []
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boiler_hourly = []
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boiler_sum = 0
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hp_sum = 0
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for i in range(1, len(demand)):
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hp_sum += hp_electricity_j[i]
|
||||
boiler_sum += boiler_consumption_j[i]
|
||||
if (i - 1) % number_of_ts == 0:
|
||||
tes.temperature.append(t_tank[i])
|
||||
hp_hourly.append(hp_sum)
|
||||
boiler_hourly.append(boiler_sum)
|
||||
hp_sum = 0
|
||||
boiler_sum = 0
|
||||
hp.energy_consumption[cte.HEATING] = {}
|
||||
hp.energy_consumption[cte.HEATING][cte.HOUR] = hp_hourly
|
||||
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] = {}
|
||||
boiler.energy_consumption[cte.HEATING][cte.HOUR] = boiler_hourly
|
||||
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])]
|
||||
self.results['Heating Demand (W)'] = demand
|
||||
self.results['HP Heat Output (W)'] = q_hp
|
||||
self.results['HP Source Temperature'] = t_out
|
||||
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 Supply Temperature'] = t_sup_boiler
|
||||
self.results['Boiler Gas Consumption'] = boiler_consumption
|
||||
self.results['TES Temperature'] = t_tank
|
||||
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
|
||||
return hp_hourly, boiler_hourly
|
||||
|
||||
def cooling_system_simulation(self):
|
||||
hp = self.hvac_sizing()[0]
|
||||
eer_curve_coefficients = [float(coefficient) for coefficient in hp.cooling_efficiency_curve.coefficients]
|
||||
cooling_efficiency = float(hp.cooling_efficiency)
|
||||
demand = self._hourly_cooling_demand
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_cooling_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
hp.source_temperature = self._t_out
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_eer"]
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_cop"]
|
||||
num_hours = len(demand)
|
||||
variables = {name: [0] * num_hours for name in variable_names}
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_eer) = [variables[name] for name in variable_names]
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_cop) = [variables[name] for name in variable_names]
|
||||
t_ret[0] = 13
|
||||
dt = 3600
|
||||
for i in range(len(demand) - 1):
|
||||
if demand[i] > 0:
|
||||
m[i] = self._cooling_peak_load / (cte.WATER_HEAT_CAPACITY * 5 * dt)
|
||||
if t_ret[i] > 13:
|
||||
q_hp[i] = hp.nominal_cooling_output
|
||||
t_sup_hp[i] = t_ret[i] - q_hp[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
|
||||
for i in range(1, len(demand)):
|
||||
if demand[i] > 0.15 * self._cooling_peak_load:
|
||||
m[i] = hp.nominal_cooling_output / (cte.WATER_HEAT_CAPACITY * 5)
|
||||
if t_ret[i - 1] >= 13:
|
||||
if demand[i] < 0.25 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.25 * hp.nominal_cooling_output
|
||||
elif demand[i] < 0.5 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.5 * hp.nominal_cooling_output
|
||||
else:
|
||||
q_hp[i] = hp.nominal_cooling_output
|
||||
t_sup_hp[i] = t_ret[i - 1] - q_hp[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
else:
|
||||
q_hp[i] = 0
|
||||
t_sup_hp[i] = t_ret[i]
|
||||
t_ret[i + 1] = t_sup_hp[i] + demand[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
t_sup_hp[i] = t_ret[i - 1]
|
||||
if m[i] == 0:
|
||||
t_ret[i] = t_sup_hp[i]
|
||||
else:
|
||||
t_ret[i] = t_sup_hp[i] + demand[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
else:
|
||||
m[i] = 0
|
||||
q_hp[i] = 0
|
||||
t_sup_hp[i] = t_ret[i]
|
||||
t_ret[i + 1] = t_ret[i]
|
||||
t_sup_hp[i] = t_ret[i - 1]
|
||||
t_ret[i] = t_ret[i - 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * self._t_out[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_eer[i] = 1/((eer_curve_coefficients[0] +
|
||||
eer_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
eer_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[3] * t_out_fahrenheit +
|
||||
eer_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit))
|
||||
hp_cop[i] = (1 / (eer_curve_coefficients[0] +
|
||||
eer_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
eer_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[3] * t_out_fahrenheit +
|
||||
eer_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[
|
||||
5] * t_sup_hp_fahrenheit * t_out_fahrenheit)) * cooling_efficiency / 3.41
|
||||
hp_electricity[i] = q_hp[i] / cooling_efficiency
|
||||
else:
|
||||
hp_eer[i] = 0
|
||||
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_hourly = []
|
||||
hp_sum = 0
|
||||
for i in range(1, len(demand)):
|
||||
hp_sum += hp_electricity_j[i]
|
||||
if (i - 1) % number_of_ts == 0:
|
||||
hp_hourly.append(hp_sum)
|
||||
hp_sum = 0
|
||||
hp.energy_consumption[cte.COOLING] = {}
|
||||
hp.energy_consumption[cte.COOLING][cte.HOUR] = hp_hourly
|
||||
hp.energy_consumption[cte.COOLING][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
hp.energy_consumption[cte.COOLING][cte.HOUR])
|
||||
hp.energy_consumption[cte.COOLING][cte.YEAR] = [
|
||||
sum(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 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
|
||||
return hp_hourly
|
||||
|
||||
def dhw_system_simulation(self):
|
||||
hp, tes = self.dhw_sizing()
|
||||
cop_curve_coefficients = [float(coefficient) for coefficient in hp.heat_efficiency_curve.coefficients]
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_dhw_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
variable_names = ["t_sup_hp", "t_tank", "m_ch", "m_dis", "q_hp", "q_coil", "hp_cop",
|
||||
"hp_electricity", "available hot water (m3)", "refill flow rate (kg/s)"]
|
||||
num_hours = len(demand)
|
||||
variables = {name: [0] * num_hours for name in variable_names}
|
||||
(t_sup_hp, t_tank, m_ch, m_dis, m_refill, q_hp, q_coil, hp_cop, hp_electricity, v_dhw) = \
|
||||
[variables[name] for name in variable_names]
|
||||
t_tank[0] = 70
|
||||
v_dhw[0] = tes.volume
|
||||
|
||||
hp_heating_cap = hp.nominal_heat_output
|
||||
hp_delta_t = 8
|
||||
v, h = float(tes.volume), float(tes.height)
|
||||
r_tot = sum(float(layer.thickness) / float(layer.material.conductivity) for layer in
|
||||
tes.layers)
|
||||
u_tot = 1 / r_tot
|
||||
d = math.sqrt((4 * v) / (math.pi * h))
|
||||
a_side = math.pi * d * h
|
||||
a_top = math.pi * d ** 2 / 4
|
||||
ua = u_tot * (2 * a_top + a_side)
|
||||
freshwater_temperature = 18
|
||||
for i in range(len(demand) - 1):
|
||||
delta_t_demand = demand[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if t_tank[i] < 62:
|
||||
q_hp[i] = hp_heating_cap
|
||||
delta_t_hp = q_hp[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if demand[i] > 0:
|
||||
dhw_needed = (demand[i] * cte.HOUR_TO_SECONDS) / (cte.WATER_HEAT_CAPACITY * t_tank[i] * cte.WATER_DENSITY)
|
||||
m_dis[i] = dhw_needed * cte.WATER_DENSITY / cte.HOUR_TO_SECONDS
|
||||
m_refill[i] = m_dis[i]
|
||||
delta_t_freshwater = m_refill[i] * (t_tank[i] - freshwater_temperature) * (self.dt / (v * cte.WATER_DENSITY))
|
||||
if t_tank[i] < 60:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
delta_t_coil = q_coil[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
|
||||
if q_hp[i] > 0:
|
||||
m_ch[i] = q_hp[i] / (cte.WATER_HEAT_CAPACITY * hp_delta_t)
|
||||
t_sup_hp[i] = (q_hp[i] / (m_ch[i] * cte.WATER_HEAT_CAPACITY)) + t_tank[i]
|
||||
else:
|
||||
m_ch[i] = 0
|
||||
t_sup_hp[i] = t_tank[i]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_cop[i] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_out[i] +
|
||||
cop_curve_coefficients[2] * t_out[i] ** 2 +
|
||||
cop_curve_coefficients[3] * t_tank[i] +
|
||||
cop_curve_coefficients[4] * t_tank[i] ** 2 +
|
||||
cop_curve_coefficients[5] * t_tank[i] * t_out[i]) * float(hp.heat_efficiency)
|
||||
hp_electricity[i] = q_hp[i] / hp_cop[i]
|
||||
else:
|
||||
hp_cop[i] = 0
|
||||
hp_electricity[i] = 0
|
||||
|
||||
data = list(zip(q_hp, hp_electricity, hp_eer, m, t_sup_hp, t_ret, demand, self._t_out))
|
||||
file_name = f'cooling_system_simulation_results_{self._name}.csv'
|
||||
t_tank[i + 1] = t_tank[i] + (delta_t_hp - delta_t_freshwater - delta_t_demand + delta_t_coil)
|
||||
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_hourly = []
|
||||
coil_hourly = []
|
||||
coil_sum = 0
|
||||
hp_sum = 0
|
||||
for i in range(1, len(demand)):
|
||||
hp_sum += hp_electricity_j[i]
|
||||
coil_sum += heating_coil_j[i]
|
||||
if (i - 1) % number_of_ts == 0:
|
||||
tes.temperature.append(t_tank[i])
|
||||
hp_hourly.append(hp_sum)
|
||||
coil_hourly.append(coil_sum)
|
||||
hp_sum = 0
|
||||
coil_sum = 0
|
||||
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER] = {}
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR] = hp_hourly
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR])
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.YEAR] = [
|
||||
sum(hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.MONTH])]
|
||||
tes.heating_coil_energy_consumption = {}
|
||||
tes.heating_coil_energy_consumption[cte.HOUR] = coil_hourly
|
||||
tes.heating_coil_energy_consumption[cte.MONTH] = MonthlyValues.get_total_month(
|
||||
tes.heating_coil_energy_consumption[cte.HOUR])
|
||||
tes.heating_coil_energy_consumption[cte.YEAR] = [
|
||||
sum(tes.heating_coil_energy_consumption[cte.MONTH])]
|
||||
tes.temperature = t_tank
|
||||
|
||||
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'] = t_out
|
||||
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
|
||||
return hp_hourly, coil_hourly
|
||||
|
||||
def enrich_buildings(self):
|
||||
hp_heating, boiler_consumption = self.heating_system_simulation()
|
||||
hp_cooling = self.cooling_system_simulation()
|
||||
hp_dhw, heating_coil = self.dhw_system_simulation()
|
||||
heating_consumption = [hp_heating[i] + boiler_consumption[i] for i in range(len(hp_heating))]
|
||||
dhw_consumption = [hp_dhw[i] + heating_coil[i] for i in range(len(hp_dhw))]
|
||||
self._building.heating_consumption[cte.HOUR] = heating_consumption
|
||||
self._building.heating_consumption[cte.MONTH] = (
|
||||
MonthlyValues.get_total_month(self._building.heating_consumption[cte.HOUR]))
|
||||
self._building.heating_consumption[cte.YEAR] = [sum(self._building.heating_consumption[cte.MONTH])]
|
||||
self._building.cooling_consumption[cte.HOUR] = hp_cooling
|
||||
self._building.cooling_consumption[cte.MONTH] = (
|
||||
MonthlyValues.get_total_month(self._building.cooling_consumption[cte.HOUR]))
|
||||
self._building.cooling_consumption[cte.YEAR] = [sum(self._building.cooling_consumption[cte.MONTH])]
|
||||
self._building.domestic_hot_water_consumption[cte.HOUR] = dhw_consumption
|
||||
self._building.domestic_hot_water_consumption[cte.MONTH] = (
|
||||
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(['HP_cooling_output (W)', 'HP_cooling_electricity_consumption (W)', 'HP_EER',
|
||||
'Cooling_loop_flow_rate(kg/s)', 'Cooling_supply_temperature(C)',
|
||||
'Cooling_loop_return_temperature(C)', 'Cooling_demand (W)', 'Outside_Air_Temperature'])
|
||||
output_file.writerow(self.results.keys())
|
||||
# Write data
|
||||
output_file.writerows(data)
|
||||
return hp_electricity, t_sup_hp
|
||||
output_file.writerows(zip(*self.results.values()))
|
||||
|
||||
|
||||
def enrich_buildings(self):
|
||||
(self._building.heating_consumption[cte.HOUR], hp_electricity_heating,
|
||||
boiler_consumption, t_sup_hp, t_sup_boiler) = self.heating_system_simulation()
|
||||
hp_electricity_cooling, t_sup_hp_cooling = self.cooling_system_simulation()
|
||||
self._building.heating_consumption[cte.MONTH] = MonthlyValues.get_total_month(
|
||||
self._building.heating_consumption[cte.HOUR])
|
||||
self._building.heating_consumption[cte.YEAR] = [sum(self._building.heating_consumption[cte.MONTH])]
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING] = {}
|
||||
self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING] = {}
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING][cte.HOUR] = hp_electricity_heating
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING][cte.HOUR])
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING][cte.YEAR] = \
|
||||
[sum(self._hvac_system.generation_systems[0].energy_consumption[cte.HEATING][cte.MONTH])]
|
||||
self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING][cte.HOUR] = boiler_consumption
|
||||
self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING][cte.HOUR])
|
||||
self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING][cte.YEAR] = \
|
||||
[sum(self._hvac_system.generation_systems[1].energy_consumption[cte.HEATING][cte.MONTH])]
|
||||
self._hvac_system.generation_systems[0].heat_supply_temperature = t_sup_hp
|
||||
self._hvac_system.generation_systems[1].heat_supply_temperature = t_sup_boiler
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING] = {}
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING][cte.HOUR] = hp_electricity_cooling
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING][cte.HOUR])
|
||||
self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING][cte.YEAR] = \
|
||||
[sum(self._hvac_system.generation_systems[0].energy_consumption[cte.COOLING][cte.MONTH])]
|
||||
self._hvac_system.generation_systems[0].cooling_supply_temperature = t_sup_hp_cooling
|
||||
self._dhw_system.generation_systems[0].energy_consumption[cte.DOMESTIC_HOT_WATER] = (
|
||||
self._building.domestic_hot_water_consumption)
|
||||
|
|
|
|||
|
|
@ -66,6 +66,7 @@ class Archetype13:
|
|||
[variables[name] for name in variable_names]
|
||||
t_tank[0] = 55
|
||||
hp_heating_cap = hp.nominal_heat_output
|
||||
hp_efficiency = float(hp.heat_efficiency)
|
||||
boiler_heating_cap = boiler.nominal_heat_output
|
||||
hp_delta_t = 5
|
||||
boiler_efficiency = float(boiler.heat_efficiency)
|
||||
|
|
@ -98,15 +99,15 @@ class Archetype13:
|
|||
t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cte.WATER_HEAT_CAPACITY)) + t_tank[i + 1]
|
||||
else:
|
||||
q_hp[i + 1], m_ch[i + 1], t_sup_hp[i + 1] = 0, 0, t_tank[i + 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i + 1] + 32
|
||||
t_tank_fahrenheit = 1.8 * t_tank[i + 1] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i + 1] + 32
|
||||
if q_hp[i + 1] > 0:
|
||||
hp_cop[i + 1] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
hp_cop[i + 1] = (1 / (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_tank_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_tank_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_efficiency
|
||||
hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
|
||||
else:
|
||||
hp_cop[i + 1] = 0
|
||||
|
|
@ -183,10 +184,10 @@ class Archetype13:
|
|||
demand = [0] + [x for x in self._hourly_cooling_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
hp.source_temperature = self._t_out
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_eer"]
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_cop"]
|
||||
num_hours = len(demand)
|
||||
variables = {name: [0] * num_hours for name in variable_names}
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_eer) = [variables[name] for name in variable_names]
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_cop) = [variables[name] for name in variable_names]
|
||||
t_ret[0] = 13
|
||||
|
||||
for i in range(1, len(demand)):
|
||||
|
|
@ -215,15 +216,15 @@ class Archetype13:
|
|||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_eer[i] = (eer_curve_coefficients[0] +
|
||||
hp_cop[i] = (1 / (eer_curve_coefficients[0] +
|
||||
eer_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
eer_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[3] * t_out_fahrenheit +
|
||||
eer_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)) * cooling_efficiency / 3.41
|
||||
hp_electricity[i] = q_hp[i] / cooling_efficiency
|
||||
else:
|
||||
hp_eer[i] = 0
|
||||
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_hourly = []
|
||||
|
|
@ -242,7 +243,7 @@ class Archetype13:
|
|||
self.results['Cooling Demand (W)'] = demand
|
||||
self.results['HP Cooling Output (W)'] = q_hp
|
||||
self.results['HP Cooling Supply Temperature'] = t_sup_hp
|
||||
self.results['HP Cooling COP'] = hp_eer
|
||||
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
|
||||
|
|
@ -276,7 +277,7 @@ class Archetype13:
|
|||
freshwater_temperature = 18
|
||||
for i in range(len(demand) - 1):
|
||||
delta_t_demand = demand[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if t_tank[i] < 65:
|
||||
if t_tank[i] < 62:
|
||||
q_hp[i] = hp_heating_cap
|
||||
delta_t_hp = q_hp[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if demand[i] > 0:
|
||||
|
|
@ -284,14 +285,8 @@ class Archetype13:
|
|||
m_dis[i] = dhw_needed * cte.WATER_DENSITY / cte.HOUR_TO_SECONDS
|
||||
m_refill[i] = m_dis[i]
|
||||
delta_t_freshwater = m_refill[i] * (t_tank[i] - freshwater_temperature) * (self.dt / (v * cte.WATER_DENSITY))
|
||||
diff = delta_t_freshwater + delta_t_demand - delta_t_hp
|
||||
if diff > 0:
|
||||
if diff > 0:
|
||||
power = diff * (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v) / self.dt
|
||||
if power <= float(tes.heating_coil_capacity):
|
||||
q_coil[i] = power
|
||||
else:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
if t_tank[i] < 60:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
delta_t_coil = q_coil[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
|
||||
if q_hp[i] > 0:
|
||||
|
|
@ -304,11 +299,11 @@ class Archetype13:
|
|||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_cop[i] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
cop_curve_coefficients[1] * t_out[i] +
|
||||
cop_curve_coefficients[2] * t_out[i] ** 2 +
|
||||
cop_curve_coefficients[3] * t_tank[i] +
|
||||
cop_curve_coefficients[4] * t_tank[i] ** 2 +
|
||||
cop_curve_coefficients[5] * t_tank[i] * t_out[i]) * float(hp.heat_efficiency)
|
||||
hp_electricity[i] = q_hp[i] / hp_cop[i]
|
||||
else:
|
||||
hp_cop[i] = 0
|
||||
|
|
|
|||
|
|
@ -24,6 +24,7 @@ class Archetype13Stratified:
|
|||
self._output_path = output_path
|
||||
self._t_out = building.external_temperature[cte.HOUR]
|
||||
self.results = {}
|
||||
self.dt = 300
|
||||
|
||||
def hvac_sizing(self):
|
||||
storage_factor = 3
|
||||
|
|
@ -49,6 +50,7 @@ class Archetype13Stratified:
|
|||
|
||||
def heating_system_simulation_stratified(self):
|
||||
hp, boiler, tes = self.hvac_sizing()
|
||||
hp_efficiency = float(hp.heat_efficiency)
|
||||
cop_curve_coefficients = [float(coefficient) for coefficient in hp.heat_efficiency_curve.coefficients]
|
||||
demand = [0] + [x for x in self._hourly_heating_demand for _ in range(12)]
|
||||
hp.source_temperature = self._t_out
|
||||
|
|
@ -114,15 +116,15 @@ class Archetype13Stratified:
|
|||
t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cte.WATER_HEAT_CAPACITY)) + t4[i + 1]
|
||||
else:
|
||||
q_hp[i + 1], m_ch[i + 1], t_sup_hp[i + 1] = 0, 0, t4[i + 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i + 1] + 32
|
||||
t_tank_fahrenheit = 1.8 * t4[i + 1] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i + 1] + 32
|
||||
if q_hp[i + 1] > 0:
|
||||
hp_cop[i + 1] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
hp_cop[i + 1] = (1 / (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_tank_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_tank_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_efficiency
|
||||
hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
|
||||
else:
|
||||
hp_cop[i + 1] = 0
|
||||
|
|
@ -211,66 +213,81 @@ class Archetype13Stratified:
|
|||
hp = self.hvac_sizing()[0]
|
||||
eer_curve_coefficients = [float(coefficient) for coefficient in hp.cooling_efficiency_curve.coefficients]
|
||||
cooling_efficiency = float(hp.cooling_efficiency)
|
||||
demand = self._hourly_cooling_demand
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_cooling_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
hp.source_temperature = self._t_out
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_eer"]
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_cop"]
|
||||
num_hours = len(demand)
|
||||
variables = {name: [0] * num_hours for name in variable_names}
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_eer) = [variables[name] for name in variable_names]
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_cop) = [variables[name] for name in variable_names]
|
||||
t_ret[0] = 13
|
||||
dt = 3600
|
||||
for i in range(len(demand) - 1):
|
||||
if demand[i] > 0:
|
||||
m[i] = self._cooling_peak_load / (cte.WATER_HEAT_CAPACITY * 5 * dt)
|
||||
if t_ret[i] > 13:
|
||||
if demand[i] < 0.25 * self._cooling_peak_load / dt:
|
||||
|
||||
for i in range(1, len(demand)):
|
||||
if demand[i] > 0.15 * self._cooling_peak_load:
|
||||
m[i] = hp.nominal_cooling_output / (cte.WATER_HEAT_CAPACITY * 5)
|
||||
if t_ret[i - 1] >= 13:
|
||||
if demand[i] < 0.25 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.25 * hp.nominal_cooling_output
|
||||
elif demand[i] < 0.5 * self._cooling_peak_load / dt:
|
||||
elif demand[i] < 0.5 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.5 * hp.nominal_cooling_output
|
||||
else:
|
||||
q_hp[i] = hp.nominal_cooling_output
|
||||
t_sup_hp[i] = t_ret[i] - q_hp[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
t_sup_hp[i] = t_ret[i - 1] - q_hp[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
else:
|
||||
q_hp[i] = 0
|
||||
t_sup_hp[i] = t_ret[i]
|
||||
t_ret[i + 1] = t_sup_hp[i] + demand[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
t_sup_hp[i] = t_ret[i - 1]
|
||||
if m[i] == 0:
|
||||
t_ret[i] = t_sup_hp[i]
|
||||
else:
|
||||
t_ret[i] = t_sup_hp[i] + demand[i] / (m[i] * cte.WATER_HEAT_CAPACITY)
|
||||
else:
|
||||
m[i] = 0
|
||||
q_hp[i] = 0
|
||||
t_sup_hp[i] = t_ret[i]
|
||||
t_ret[i + 1] = t_ret[i]
|
||||
t_sup_hp[i] = t_ret[i - 1]
|
||||
t_ret[i] = t_ret[i - 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * self._t_out[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_eer[i] = (eer_curve_coefficients[0] +
|
||||
hp_cop[i] = (1 / (eer_curve_coefficients[0] +
|
||||
eer_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
eer_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[3] * t_out_fahrenheit +
|
||||
eer_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)) * cooling_efficiency / 3.41
|
||||
hp_electricity[i] = q_hp[i] / cooling_efficiency
|
||||
else:
|
||||
hp_eer[i] = 0
|
||||
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_hourly = []
|
||||
hp_sum = 0
|
||||
for i in range(1, len(demand)):
|
||||
hp_sum += hp_electricity_j[i]
|
||||
if (i - 1) % number_of_ts == 0:
|
||||
hp_hourly.append(hp_sum)
|
||||
hp_sum = 0
|
||||
hp.energy_consumption[cte.COOLING] = {}
|
||||
hp.energy_consumption[cte.COOLING][cte.HOUR] = hp_electricity
|
||||
hp.energy_consumption[cte.COOLING][cte.HOUR] = hp_hourly
|
||||
hp.energy_consumption[cte.COOLING][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
hp.energy_consumption[cte.COOLING][cte.HOUR])
|
||||
hp.energy_consumption[cte.COOLING][cte.YEAR] = [
|
||||
sum(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 Supply Temperature'] = t_sup_hp
|
||||
# self.results['HP Cooling COP'] = hp_eer
|
||||
# self.results['HP Electricity Consumption'] = hp_electricity
|
||||
# self.results['Cooling Loop Flow Rate (kg/s)'] = m
|
||||
# self.results['Cooling Loop Return Temperature'] = t_ret
|
||||
return hp_electricity
|
||||
self.results['Cooling Demand (W)'] = demand
|
||||
self.results['HP Cooling Output (W)'] = q_hp
|
||||
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
|
||||
return hp_hourly
|
||||
|
||||
def dhw_system_simulation(self):
|
||||
hp, tes = self.dhw_sizing()
|
||||
cop_curve_coefficients = [float(coefficient) for coefficient in hp.heat_efficiency_curve.coefficients]
|
||||
demand = self._hourly_dhw_demand
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_dhw_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
variable_names = ["t_sup_hp", "t_tank", "m_ch", "m_dis", "q_hp", "q_coil", "hp_cop",
|
||||
"hp_electricity", "available hot water (m3)", "refill flow rate (kg/s)"]
|
||||
num_hours = len(demand)
|
||||
|
|
@ -279,7 +296,7 @@ class Archetype13Stratified:
|
|||
[variables[name] for name in variable_names]
|
||||
t_tank[0] = 70
|
||||
v_dhw[0] = tes.volume
|
||||
dt = 3600
|
||||
|
||||
hp_heating_cap = hp.nominal_heat_output
|
||||
hp_delta_t = 8
|
||||
v, h = float(tes.volume), float(tes.height)
|
||||
|
|
@ -292,26 +309,18 @@ class Archetype13Stratified:
|
|||
ua = u_tot * (2 * a_top + a_side)
|
||||
freshwater_temperature = 18
|
||||
for i in range(len(demand) - 1):
|
||||
delta_t_demand = demand[i] * (dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if t_tank[i] < 65:
|
||||
delta_t_demand = demand[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if t_tank[i] < 62:
|
||||
q_hp[i] = hp_heating_cap
|
||||
delta_t_hp = q_hp[i] * (dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
delta_t_hp = q_hp[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if demand[i] > 0:
|
||||
dhw_needed = (demand[i] * cte.HOUR_TO_SECONDS) / (cte.WATER_HEAT_CAPACITY * t_tank[i] * cte.WATER_DENSITY)
|
||||
m_dis[i] = dhw_needed * cte.WATER_DENSITY / cte.HOUR_TO_SECONDS
|
||||
m_refill[i] = m_dis[i]
|
||||
delta_t_freshwater = m_refill[i] * (t_tank[i] - freshwater_temperature) * (dt / (v * cte.WATER_DENSITY))
|
||||
diff = delta_t_freshwater + delta_t_demand - delta_t_hp
|
||||
if diff > 0:
|
||||
if diff > 0:
|
||||
power = diff * (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v) / dt
|
||||
if power <= float(tes.heating_coil_capacity):
|
||||
q_coil[i] = power
|
||||
else:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
elif t_tank[i] < 65:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
delta_t_coil = q_coil[i] * (dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
delta_t_freshwater = m_refill[i] * (t_tank[i] - freshwater_temperature) * (self.dt / (v * cte.WATER_DENSITY))
|
||||
if t_tank[i] < 60:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
delta_t_coil = q_coil[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
|
||||
if q_hp[i] > 0:
|
||||
m_ch[i] = q_hp[i] / (cte.WATER_HEAT_CAPACITY * hp_delta_t)
|
||||
|
|
@ -320,69 +329,84 @@ class Archetype13Stratified:
|
|||
m_ch[i] = 0
|
||||
t_sup_hp[i] = t_tank[i]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * self._t_out[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_cop[i] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
hp_electricity[i] = q_hp[i] / 3.5
|
||||
cop_curve_coefficients[1] * t_out[i] +
|
||||
cop_curve_coefficients[2] * t_out[i] ** 2 +
|
||||
cop_curve_coefficients[3] * t_tank[i] +
|
||||
cop_curve_coefficients[4] * t_tank[i] ** 2 +
|
||||
cop_curve_coefficients[5] * t_tank[i] * t_out[i]) * float(hp.heat_efficiency)
|
||||
hp_electricity[i] = q_hp[i] / hp_cop[i]
|
||||
else:
|
||||
hp_cop[i] = 0
|
||||
hp_electricity[i] = 0
|
||||
|
||||
t_tank[i + 1] = t_tank[i] + (delta_t_hp - delta_t_freshwater - delta_t_demand + delta_t_coil)
|
||||
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_hourly = []
|
||||
coil_hourly = []
|
||||
coil_sum = 0
|
||||
hp_sum = 0
|
||||
for i in range(1, len(demand)):
|
||||
hp_sum += hp_electricity_j[i]
|
||||
coil_sum += heating_coil_j[i]
|
||||
if (i - 1) % number_of_ts == 0:
|
||||
tes.temperature.append(t_tank[i])
|
||||
hp_hourly.append(hp_sum)
|
||||
coil_hourly.append(coil_sum)
|
||||
hp_sum = 0
|
||||
coil_sum = 0
|
||||
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER] = {}
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR] = hp_electricity
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR] = hp_hourly
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.MONTH] = MonthlyValues.get_total_month(
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.HOUR])
|
||||
hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.YEAR] = [
|
||||
sum(hp.energy_consumption[cte.DOMESTIC_HOT_WATER][cte.MONTH])]
|
||||
tes.heating_coil_energy_consumption = {}
|
||||
tes.heating_coil_energy_consumption[cte.HOUR] = q_coil
|
||||
tes.heating_coil_energy_consumption[cte.HOUR] = coil_hourly
|
||||
tes.heating_coil_energy_consumption[cte.MONTH] = MonthlyValues.get_total_month(
|
||||
tes.heating_coil_energy_consumption[cte.HOUR])
|
||||
tes.heating_coil_energy_consumption[cte.YEAR] = [
|
||||
sum(tes.heating_coil_energy_consumption[cte.MONTH])]
|
||||
tes.temperature = t_tank
|
||||
|
||||
|
||||
# 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'] = self._t_out
|
||||
# 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
|
||||
return hp_electricity, q_coil
|
||||
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'] = t_out
|
||||
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
|
||||
return hp_hourly, coil_hourly
|
||||
|
||||
def enrich_buildings(self):
|
||||
hp_heating, boiler_consumption = self.heating_system_simulation_stratified()
|
||||
# hp_cooling = self.cooling_system_simulation()
|
||||
# hp_dhw, heating_coil = self.dhw_system_simulation()
|
||||
hp_cooling = self.cooling_system_simulation()
|
||||
hp_dhw, heating_coil = self.dhw_system_simulation()
|
||||
heating_consumption = [hp_heating[i] + boiler_consumption[i] for i in range(len(hp_heating))]
|
||||
# dhw_consumption = [hp_dhw[i] + heating_coil[i] for i in range(len(hp_dhw))]
|
||||
# self._building.heating_consumption[cte.HOUR] = heating_consumption
|
||||
# self._building.heating_consumption[cte.MONTH] = (
|
||||
# MonthlyValues.get_total_month(self._building.heating_consumption[cte.HOUR]))
|
||||
# self._building.heating_consumption[cte.YEAR] = sum(self._building.heating_consumption[cte.MONTH])
|
||||
# self._building.cooling_consumption[cte.HOUR] = hp_cooling
|
||||
# self._building.cooling_consumption[cte.MONTH] = (
|
||||
# MonthlyValues.get_total_month(self._building.cooling_consumption[cte.HOUR]))
|
||||
# self._building.cooling_consumption[cte.YEAR] = sum(self._building.cooling_consumption[cte.MONTH])
|
||||
# self._building.domestic_hot_water_consumption[cte.HOUR] = dhw_consumption
|
||||
# self._building.domestic_hot_water_consumption[cte.MONTH] = (
|
||||
# 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]))
|
||||
dhw_consumption = [hp_dhw[i] + heating_coil[i] for i in range(len(hp_dhw))]
|
||||
self._building.heating_consumption[cte.HOUR] = heating_consumption
|
||||
self._building.heating_consumption[cte.MONTH] = (
|
||||
MonthlyValues.get_total_month(self._building.heating_consumption[cte.HOUR]))
|
||||
self._building.heating_consumption[cte.YEAR] = sum(self._building.heating_consumption[cte.MONTH])
|
||||
self._building.cooling_consumption[cte.HOUR] = hp_cooling
|
||||
self._building.cooling_consumption[cte.MONTH] = (
|
||||
MonthlyValues.get_total_month(self._building.cooling_consumption[cte.HOUR]))
|
||||
self._building.cooling_consumption[cte.YEAR] = sum(self._building.cooling_consumption[cte.MONTH])
|
||||
self._building.domestic_hot_water_consumption[cte.HOUR] = dhw_consumption
|
||||
self._building.domestic_hot_water_consumption[cte.MONTH] = (
|
||||
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)
|
||||
|
|
|
|||
|
|
@ -64,6 +64,7 @@ class Archetype14_15:
|
|||
|
||||
def heating_system_simulation(self):
|
||||
hp, boiler, tes = self.heating_system_sizing()
|
||||
hp_efficiency = float(hp.heat_efficiency)
|
||||
cop_curve_coefficients = [float(coefficient) for coefficient in hp.heat_efficiency_curve.coefficients]
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_heating_demand for _ in range(number_of_ts)]
|
||||
|
|
@ -111,15 +112,15 @@ class Archetype14_15:
|
|||
t_sup_hp[i + 1] = (q_hp[i + 1] / (m_ch[i + 1] * cte.WATER_HEAT_CAPACITY)) + t_tank[i + 1]
|
||||
else:
|
||||
q_hp[i + 1], m_ch[i + 1], t_sup_hp[i + 1] = 0, 0, t_tank[i + 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i + 1] + 32
|
||||
t_tank_fahrenheit = 1.8 * t_tank[i + 1] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i + 1] + 32
|
||||
if q_hp[i + 1] > 0:
|
||||
hp_cop[i + 1] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
hp_cop[i + 1] = (1 / (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_tank_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_tank_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
cop_curve_coefficients[5] * t_tank_fahrenheit * t_out_fahrenheit)) * hp_efficiency
|
||||
hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
|
||||
else:
|
||||
hp_cop[i + 1] = 0
|
||||
|
|
@ -189,26 +190,26 @@ class Archetype14_15:
|
|||
return hp_hourly, boiler_hourly
|
||||
|
||||
def cooling_system_simulation(self):
|
||||
hp = self.cooling_system_sizing()
|
||||
hp = self.cooling_system_sizing()[0]
|
||||
eer_curve_coefficients = [float(coefficient) for coefficient in hp.cooling_efficiency_curve.coefficients]
|
||||
cooling_efficiency = float(hp.cooling_efficiency)
|
||||
number_of_ts = int(cte.HOUR_TO_SECONDS / self.dt)
|
||||
demand = [0] + [x for x in self._hourly_cooling_demand for _ in range(number_of_ts)]
|
||||
t_out = [0] + [x for x in self._t_out for _ in range(number_of_ts)]
|
||||
hp.source_temperature = self._t_out
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_eer"]
|
||||
variable_names = ["t_sup_hp", "t_ret", "m", "q_hp", "hp_electricity", "hp_cop"]
|
||||
num_hours = len(demand)
|
||||
variables = {name: [0] * num_hours for name in variable_names}
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_eer) = [variables[name] for name in variable_names]
|
||||
(t_sup_hp, t_ret, m, q_hp, hp_electricity, hp_cop) = [variables[name] for name in variable_names]
|
||||
t_ret[0] = 13
|
||||
|
||||
for i in range(1, len(demand)):
|
||||
if demand[i] > 0:
|
||||
m[i] = self._cooling_peak_load / (cte.WATER_HEAT_CAPACITY * 5 * cte.HOUR_TO_SECONDS)
|
||||
if demand[i] > 0.15 * self._cooling_peak_load:
|
||||
m[i] = hp.nominal_cooling_output / (cte.WATER_HEAT_CAPACITY * 5)
|
||||
if t_ret[i - 1] >= 13:
|
||||
if demand[i] < 0.25 * self._cooling_peak_load / cte.HOUR_TO_SECONDS:
|
||||
if demand[i] < 0.25 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.25 * hp.nominal_cooling_output
|
||||
elif demand[i] < 0.5 * self._cooling_peak_load / cte.HOUR_TO_SECONDS:
|
||||
elif demand[i] < 0.5 * self._cooling_peak_load:
|
||||
q_hp[i] = 0.5 * hp.nominal_cooling_output
|
||||
else:
|
||||
q_hp[i] = hp.nominal_cooling_output
|
||||
|
|
@ -223,20 +224,20 @@ class Archetype14_15:
|
|||
else:
|
||||
m[i] = 0
|
||||
q_hp[i] = 0
|
||||
t_sup_hp[i] = t_ret[i -1]
|
||||
t_sup_hp[i] = t_ret[i - 1]
|
||||
t_ret[i] = t_ret[i - 1]
|
||||
t_sup_hp_fahrenheit = 1.8 * t_sup_hp[i] + 32
|
||||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_eer[i] = (eer_curve_coefficients[0] +
|
||||
hp_cop[i] = (1 / (eer_curve_coefficients[0] +
|
||||
eer_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
eer_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[3] * t_out_fahrenheit +
|
||||
eer_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
hp_electricity[i] = q_hp[i] / hp_eer[i]
|
||||
eer_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)) * cooling_efficiency / 3.41
|
||||
hp_electricity[i] = q_hp[i] / cooling_efficiency
|
||||
else:
|
||||
hp_eer[i] = 0
|
||||
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_hourly = []
|
||||
|
|
@ -255,7 +256,7 @@ class Archetype14_15:
|
|||
self.results['Cooling Demand (W)'] = demand
|
||||
self.results['HP Cooling Output (W)'] = q_hp
|
||||
self.results['HP Cooling Supply Temperature'] = t_sup_hp
|
||||
self.results['HP Cooling COP'] = hp_eer
|
||||
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
|
||||
|
|
@ -289,7 +290,7 @@ class Archetype14_15:
|
|||
freshwater_temperature = 18
|
||||
for i in range(len(demand) - 1):
|
||||
delta_t_demand = demand[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if t_tank[i] < 65:
|
||||
if t_tank[i] < 62:
|
||||
q_hp[i] = hp_heating_cap
|
||||
delta_t_hp = q_hp[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
if demand[i] > 0:
|
||||
|
|
@ -297,14 +298,8 @@ class Archetype14_15:
|
|||
m_dis[i] = dhw_needed * cte.WATER_DENSITY / cte.HOUR_TO_SECONDS
|
||||
m_refill[i] = m_dis[i]
|
||||
delta_t_freshwater = m_refill[i] * (t_tank[i] - freshwater_temperature) * (self.dt / (v * cte.WATER_DENSITY))
|
||||
diff = delta_t_freshwater + delta_t_demand - delta_t_hp
|
||||
if diff > 0:
|
||||
if diff > 0:
|
||||
power = diff * (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v) / self.dt
|
||||
if power <= float(tes.heating_coil_capacity):
|
||||
q_coil[i] = power
|
||||
else:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
if t_tank[i] < 60:
|
||||
q_coil[i] = float(tes.heating_coil_capacity)
|
||||
delta_t_coil = q_coil[i] * (self.dt / (cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY * v))
|
||||
|
||||
if q_hp[i] > 0:
|
||||
|
|
@ -317,11 +312,11 @@ class Archetype14_15:
|
|||
t_out_fahrenheit = 1.8 * t_out[i] + 32
|
||||
if q_hp[i] > 0:
|
||||
hp_cop[i] = (cop_curve_coefficients[0] +
|
||||
cop_curve_coefficients[1] * t_sup_hp_fahrenheit +
|
||||
cop_curve_coefficients[2] * t_sup_hp_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[3] * t_out_fahrenheit +
|
||||
cop_curve_coefficients[4] * t_out_fahrenheit ** 2 +
|
||||
cop_curve_coefficients[5] * t_sup_hp_fahrenheit * t_out_fahrenheit)
|
||||
cop_curve_coefficients[1] * t_out[i] +
|
||||
cop_curve_coefficients[2] * t_out[i] ** 2 +
|
||||
cop_curve_coefficients[3] * t_tank[i] +
|
||||
cop_curve_coefficients[4] * t_tank[i] ** 2 +
|
||||
cop_curve_coefficients[5] * t_tank[i] * t_out[i]) * float(hp.heat_efficiency)
|
||||
hp_electricity[i] = q_hp[i] / hp_cop[i]
|
||||
else:
|
||||
hp_cop[i] = 0
|
||||
|
|
@ -374,6 +369,7 @@ class Archetype14_15:
|
|||
return hp_hourly, coil_hourly
|
||||
|
||||
|
||||
|
||||
def enrich_buildings(self):
|
||||
hp_heating, boiler_consumption = self.heating_system_simulation()
|
||||
hp_cooling = self.cooling_system_simulation()
|
||||
|
|
|
|||
|
|
@ -47,21 +47,8 @@ ConstructionFactory('nrcan', city).enrich()
|
|||
UsageFactory('nrcan', city).enrich()
|
||||
WeatherFactory('epw', city).enrich()
|
||||
energy_plus_workflow(city, energy_plus_output_path)
|
||||
random_assignation.call_random(city.buildings, random_assignation.residential_systems_percentage)
|
||||
EnergySystemsFactory('montreal_custom', city).enrich()
|
||||
SystemSizing(city.buildings).montreal_custom()
|
||||
for i in range(12):
|
||||
monthly_cooling = 0
|
||||
for building in city.buildings:
|
||||
monthly_cooling += building.cooling_consumption[cte.MONTH][i] / (cte.WATTS_HOUR_TO_JULES * 1000)
|
||||
print(monthly_cooling)
|
||||
random_assignation.call_random(city.buildings, random_assignation.residential_new_systems_percentage)
|
||||
EnergySystemsFactory('montreal_future', city).enrich()
|
||||
for building in city.buildings:
|
||||
if building.energy_systems_archetype_name == 'PV+4Pipe+DHW':
|
||||
EnergySystemsSimulationFactory('archetype13', building=building, output_path=simulation_results_path).enrich()
|
||||
for i in range(12):
|
||||
monthly_cooling = 0
|
||||
for building in city.buildings:
|
||||
monthly_cooling += building.cooling_consumption[cte.MONTH][i] / (cte.WATTS_HOUR_TO_JULES * 1000)
|
||||
print(monthly_cooling)
|
||||
EnergySystemsSimulationFactory('archetype1', building=building, output_path=simulation_results_path).enrich()
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user