2023-01-10 12:12:01 -05:00
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"""
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Miscellaneous
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Project Author Peter Yefi peteryefi@gmail.com
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"""
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2023-01-17 18:59:59 -05:00
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from typing import List
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from pathlib import Path
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import numpy as np
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2023-01-10 12:12:01 -05:00
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hp_models = {
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'air_source': ['012', '015', '018', '023', '030', '033', '037', '044', '047', '057', '070', '087', '097', '102',
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'120', '130', '140'],
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'water_to_water': ['ClimateMaster 156 kW', 'ClimateMaster 256 kW', 'ClimateMaster 335 kW']
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}
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def validate_hp_model(hp_type: str, model: str) -> bool:
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"""
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Validates the HP model parameter provided by users
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for running insel simulation
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:param hp_type: the type of heat pump: air source or
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water to water
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:param model: the model of heat pump
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:return: bool
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"""
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if 'air' in hp_type.lower():
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if model in hp_models['air_source']:
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return True
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elif 'water' in hp_type.lower():
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if model in hp_models['water_to_water']:
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return True
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return False
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2023-01-17 18:59:59 -05:00
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def expand_energy_demand(hourly_energy_demand: List[float]):
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"""
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Replicates each value in the list 11 times and persist the values to a file
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:param hourly_energy_demand: a list of hourly energy demand data
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"""
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energy_demand = Path(Path(__file__).parent.parent / "data/energy_demand.txt")
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with open(energy_demand, 'w') as demand_file:
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repeated_demand_values = np.repeat(hourly_energy_demand, 12).tolist()
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for demand in repeated_demand_values:
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demand_file.write("%.6f\n" % demand)
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