87 lines
3.8 KiB
Python
87 lines
3.8 KiB
Python
"""
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Model representation of the results of heat pump simulation
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Peter Yefi peteryefi@gmail.com
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"""
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from sqlalchemy import Column, Integer, String, Sequence
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from sqlalchemy import Enum, ForeignKey, Float, DateTime
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from sqlalchemy.dialects.postgresql import JSONB
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from hub.persistence.db_config import Base
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import enum
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import datetime
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class SimulationTypes(enum.Enum):
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Parallel = 'PARALLEL'
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Series = 'SERIES'
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class HeatPumpTypes(enum.Enum):
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Air = 'Air Source'
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Water = 'Water to Water'
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class HeatPumpSimulation(Base):
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"""A model representation of a building
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Attributes:
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city_id, A reference to the city which was used to run this simulation.
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hourly_electricity_demand, A JSON object that has hours and their electricity demand
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daily_electricity_demand, A JSON object that has days and their electricity demand
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monthly_electricity_demand, A JSON object that has months and their electricity demand
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daily_fossil_fuel_consumption, A JSON object that has days and fossil fuel consumption
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monthly_fossil_fuel_consumption, A JSON object that has months and fossil fuel consumption
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heat_pump_type, Water or air heat pump
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simulation_type, The type of heat pump simulation (parallel or series)
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heat_pump_model, The model of the heat pump (either water to water or air source)
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start year, HP simulation start year
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end year, HP simulation end year
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max_hp_energy_input, Maximum heat pump energy input
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max_demand_storage_hour, Hours of storage at maximum demand
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building_supply_temp, building supply temperature
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temp_difference, Difference in HP and building supply temperatures
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fuel_lhv, The lower heating value of fuel
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fuel_price, The price of fuel
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fuel_efficiency, the efficiency of fuel
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fuel_density, the density of fuel
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hp_supply_temp, supply temperature of heat pump
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"""
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__tablename__ = "heat_pump_simulation"
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id = Column(Integer, Sequence('hp_simulation_id_seq'), primary_key=True)
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city_id = Column(Integer, ForeignKey('city.id'), nullable=False)
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daily_electricity_demand = Column(JSONB, nullable=False)
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hourly_electricity_demand = Column(JSONB, nullable=False)
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daily_fossil_fuel_consumption = Column(JSONB, nullable=False)
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monthly_fossil_fuel_consumption = Column(JSONB, nullable=False)
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monthly_electricity_demand = Column(JSONB, nullable=False)
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heat_pump_type = Column(Enum(HeatPumpTypes), nullable=False)
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simulation_type = Column(Enum(SimulationTypes), nullable=False)
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heat_pump_model = Column(String, nullable=False)
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start_year = Column(Integer, nullable=False)
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end_year = Column(Integer, nullable=False)
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max_hp_energy_input = Column(Float, nullable=False)
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max_demand_storage_hour = Column(Float, nullable=False)
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building_supply_temp = Column(Float, nullable=False)
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temp_difference = Column(Float, nullable=False)
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fuel_lhv = Column(Float, nullable=False)
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fuel_price = Column(Float, nullable=False)
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fuel_efficiency = Column(Float, nullable=False)
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fuel_density = Column(Float, nullable=False)
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hp_supply_temp = Column(Float, nullable=False)
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created = Column(DateTime, default=datetime.datetime.utcnow)
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def __init__(self, city_id, hourly_elec_demand, daily_elec_demand, monthly_elec_demand, daily_fossil, monthly_fossil):
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self.city_id = city_id
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self.hourly_electricity_demand = hourly_elec_demand
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self.daily_electricity_demand = daily_elec_demand
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self.monthly_electricity_demand = monthly_elec_demand
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self.daily_fossil_fuel_consumption = daily_fossil
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self.monthly_fossil_fuel_consumption = monthly_fossil
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