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Update utils/cooling_load.py
Browse files- utils/cooling_load.py +360 -228
utils/cooling_load.py
CHANGED
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"""
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Cooling load calculation module for HVAC Load Calculator.
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This module implements
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"""
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from typing import Dict, List, Any, Optional, Tuple
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class CoolingLoadCalculator:
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"""Class for calculating cooling loads using
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def __init__(self):
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"""Initialize cooling load calculator."""
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self.heat_transfer = HeatTransferCalculations()
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self.psychrometrics = Psychrometrics()
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self.ashrae_tables = ASHRAETables()
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def calculate_wall_cooling_load(self, wall: Wall, outdoor_temp: float, indoor_temp: float,
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month: str, hour: int, latitude: str = "40N",
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color: str = "Dark"
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"""
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Calculate cooling load through a wall using
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Args:
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wall: Wall object
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outdoor_temp: Outdoor temperature in °C
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indoor_temp: Indoor temperature in °C
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month: Month (Jan, Feb,
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hour: Hour of the day (0-23)
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latitude: Latitude (24N, 32N, 40N, 48N, 56N)
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color: Surface color (Dark, Medium, Light)
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Returns:
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Cooling load in W
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"""
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# Get wall properties
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u_value = wall.u_value
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area = wall.area
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orientation = wall.orientation.value
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wall_group = wall.wall_group
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# Calculate corrected CLTD
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cltd = self.ashrae_tables.calculate_corrected_cltd_wall(
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wall_group=wall_group,
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orientation=orientation,
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month=month,
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latitude=latitude,
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indoor_temp=indoor_temp,
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outdoor_temp=
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# Calculate cooling load
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cooling_load = u_value * area *
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return cooling_load
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def calculate_roof_cooling_load(self, roof: Roof, outdoor_temp: float, indoor_temp: float,
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month: str, hour: int, latitude: str = "40N",
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color: str = "Dark"
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"""
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Calculate cooling load through a roof using
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Args:
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roof: Roof object
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outdoor_temp: Outdoor temperature in °C
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indoor_temp: Indoor temperature in °C
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month: Month (Jan, Feb,
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hour: Hour of the day (0-23)
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latitude: Latitude (24N, 32N, 40N, 48N, 56N)
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color: Surface color (Dark, Medium, Light)
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Returns:
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Cooling load in W
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"""
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# Get roof properties
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u_value = roof.u_value
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area = roof.area
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roof_group = roof.roof_group
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# Calculate corrected CLTD
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cltd = self.ashrae_tables.calculate_corrected_cltd_roof(
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month=month,
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latitude=latitude,
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indoor_temp=indoor_temp,
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outdoor_temp=
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# Calculate cooling load
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cooling_load = u_value * area *
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return cooling_load
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def calculate_window_cooling_load(self, window: Window, outdoor_temp: float, indoor_temp: float,
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month: str, hour: int, latitude: str = "
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shading_coefficient: float = 1.0) -> Dict[str, float]:
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"""
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Calculate cooling load through a window using
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Args:
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window: Window object
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outdoor_temp: Outdoor temperature in °C
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indoor_temp: Indoor temperature in °C
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month: Month (Jan, Feb,
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hour: Hour of the day (0-23)
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latitude: Latitude
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shading_coefficient: Shading coefficient (0-1)
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Returns:
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Dictionary with conduction, solar, and total cooling loads in W
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"""
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# Get window properties
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u_value = window.u_value
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area = window.area
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delta_t = outdoor_temp - indoor_temp
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conduction_load = u_value * area * delta_t
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# Calculate solar cooling load
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# Calculate total cooling load
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total_load = conduction_load + solar_load
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return {
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"conduction": conduction_load,
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"solar": solar_load,
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"total": total_load
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}
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def calculate_door_cooling_load(self, door: Door, outdoor_temp: float, indoor_temp: float) -> float:
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Returns:
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Cooling load in W
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"""
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u_value = door.u_value
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area = door.area
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# Calculate cooling load
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delta_t = outdoor_temp - indoor_temp
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cooling_load = u_value * area * delta_t
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return cooling_load
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def calculate_floor_cooling_load(self, floor: Floor, ground_temp: float, indoor_temp: float) -> float:
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"""
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Returns:
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Cooling load in W
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"""
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u_value = floor.u_value
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area = floor.area
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# Calculate cooling load
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delta_t = ground_temp - indoor_temp
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cooling_load = u_value * area * delta_t
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# Return positive value for heat gain, zero for heat loss
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return max(0, cooling_load)
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def calculate_infiltration_cooling_load(self,
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"""
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Calculate sensible and latent cooling loads due to infiltration.
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Args:
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outdoor_temp: Outdoor temperature in °C
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indoor_temp: Indoor temperature in °C
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outdoor_rh: Outdoor relative humidity in %
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indoor_rh: Indoor relative humidity in %
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Returns:
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Dictionary with sensible, latent, and total cooling loads in W
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"""
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# Calculate sensible cooling load
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sensible_load = self.heat_transfer.infiltration_heat_transfer(
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flow_rate=flow_rate,
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delta_w=w_outdoor - w_indoor
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# Calculate total cooling load
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total_load = sensible_load + latent_load
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return {
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"sensible": sensible_load,
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"latent": latent_load,
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"total": total_load
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}
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def calculate_ventilation_cooling_load(self, flow_rate: float, outdoor_temp: float, indoor_temp: float,
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"""
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Calculate sensible and latent cooling loads due to ventilation.
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Returns:
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Dictionary with sensible, latent, and total cooling loads in W
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"""
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flow_rate=flow_rate,
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indoor_temp=indoor_temp,
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outdoor_rh=outdoor_rh,
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indoor_rh=indoor_rh
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def calculate_people_cooling_load(self, num_people: int, activity_level: str,
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"""
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Calculate sensible and latent cooling loads due to people.
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Args:
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num_people: Number of people
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activity_level: Activity level (Seated/Resting, Light work, Medium work, Heavy work)
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hours_occupancy: Hours of occupancy (8h, 10h, 12h, 14h, 16h, 18h, 24h)
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hour: Hour of the day (0-23)
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Returns:
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Dictionary with sensible, latent, and total cooling loads in W
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"""
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# Define heat gains for different activity levels
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activity_gains = {
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"Seated/Resting": {"sensible": 70, "latent": 45},
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"Light work": {"sensible": 75, "latent": 55},
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"Heavy work": {"sensible": 95, "latent": 145}
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}
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# Get heat gains for the specified activity level
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if activity_level not in activity_gains:
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raise ValueError(f"Invalid activity level: {activity_level}")
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sensible_gain = activity_gains[activity_level]["sensible"]
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latent_gain = activity_gains[activity_level]["latent"]
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#
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latent_load = num_people * latent_gain # Latent load is not affected by CLF
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total_load = sensible_load + latent_load
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return {
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"sensible": sensible_load,
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"latent": latent_load,
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"total": total_load
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}
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def calculate_lights_cooling_load(self, power: float, use_factor: float,
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special_allowance: float,
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"""
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Calculate cooling load due to lights.
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Args:
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power: Installed lighting power in W
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use_factor: Usage factor (0-1)
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special_allowance: Special allowance factor for fixtures (0-1)
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hours_operation: Hours of operation (8h, 10h, 12h, 14h, 16h, 18h, 24h)
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hour: Hour of the day (0-23)
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Returns:
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Cooling load in W
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"""
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cooling_load = power * use_factor * (1 + special_allowance) * clf
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return cooling_load
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def calculate_equipment_cooling_load(self, power: float, use_factor: float,
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radiation_factor: float,
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"""
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Calculate sensible and latent cooling loads due to equipment.
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Args:
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power: Equipment power in W
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use_factor: Usage factor (0-1)
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radiation_factor: Radiation factor (0-1)
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hours_operation: Hours of operation (8h, 10h, 12h, 14h, 16h, 18h, 24h)
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hour: Hour of the day (0-23)
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Returns:
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Dictionary with sensible, latent, and total cooling loads in W
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"""
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# Calculate sensible cooling load
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sensible_load = power * use_factor * radiation_factor * clf
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# Calculate latent cooling load (if any)
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latent_load = power * use_factor * (1 - radiation_factor)
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total_load = sensible_load + latent_load
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return {
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"sensible": sensible_load,
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"latent": latent_load,
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"total": total_load
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}
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def calculate_hourly_cooling_loads(self, building_components: Dict[str, List[Any]],
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outdoor_conditions: Dict[str, Any],
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indoor_conditions: Dict[str, Any],
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internal_loads: Dict[str, Any]
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"""
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Calculate hourly cooling loads for a building.
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Args:
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building_components: Dictionary with lists of building components
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outdoor_conditions: Dictionary with outdoor conditions
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indoor_conditions: Dictionary with indoor conditions
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internal_loads: Dictionary with internal loads
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Returns:
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Dictionary with hourly cooling loads
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"""
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# Extract
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walls = building_components.get("walls", [])
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roofs = building_components.get("roofs", [])
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floors = building_components.get("floors", [])
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windows = building_components.get("windows", [])
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doors = building_components.get("doors", [])
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# Extract outdoor conditions
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outdoor_temp = outdoor_conditions.get("temperature", 35.0)
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outdoor_rh = outdoor_conditions.get("relative_humidity", 50.0)
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ground_temp = outdoor_conditions.get("ground_temperature", 20.0)
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month = outdoor_conditions.get("month", "Jul")
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latitude = outdoor_conditions.get("latitude", "40N")
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# Extract indoor conditions
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indoor_temp = indoor_conditions.get("temperature", 24.0)
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indoor_rh = indoor_conditions.get("relative_humidity", 50.0)
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# Extract internal loads
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people = internal_loads.get("people", {})
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lights = internal_loads.get("lights", {})
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equipment = internal_loads.get("equipment", {})
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infiltration = internal_loads.get("infiltration", {})
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ventilation = internal_loads.get("ventilation", {})
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# Initialize hourly
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hourly_loads = {}
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# Calculate cooling loads for each hour
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for hour in range(24):
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# Initialize loads for this hour
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loads = {
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"walls": 0,
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"roofs": 0,
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"total": 0
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}
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| 432 |
-
#
|
| 433 |
for wall in walls:
|
| 434 |
-
|
| 435 |
wall=wall,
|
| 436 |
outdoor_temp=outdoor_temp,
|
| 437 |
indoor_temp=indoor_temp,
|
| 438 |
month=month,
|
| 439 |
hour=hour,
|
| 440 |
latitude=latitude,
|
| 441 |
-
color=wall.color if hasattr(wall, "color") else "Dark"
|
|
|
|
|
|
|
| 442 |
)
|
| 443 |
-
loads["walls"] += wall_load
|
| 444 |
|
| 445 |
-
#
|
| 446 |
for roof in roofs:
|
| 447 |
-
|
| 448 |
roof=roof,
|
| 449 |
outdoor_temp=outdoor_temp,
|
| 450 |
indoor_temp=indoor_temp,
|
| 451 |
month=month,
|
| 452 |
hour=hour,
|
| 453 |
latitude=latitude,
|
| 454 |
-
color=roof.color if hasattr(roof, "color") else "Dark"
|
|
|
|
|
|
|
| 455 |
)
|
| 456 |
-
loads["roofs"] += roof_load
|
| 457 |
|
| 458 |
-
#
|
| 459 |
for floor in floors:
|
| 460 |
-
|
| 461 |
floor=floor,
|
| 462 |
ground_temp=ground_temp,
|
| 463 |
indoor_temp=indoor_temp
|
| 464 |
)
|
| 465 |
-
loads["floors"] += floor_load
|
| 466 |
|
| 467 |
-
#
|
| 468 |
for window in windows:
|
| 469 |
window_loads = self.calculate_window_cooling_load(
|
| 470 |
window=window,
|
|
@@ -472,35 +632,37 @@ class CoolingLoadCalculator:
|
|
| 472 |
indoor_temp=indoor_temp,
|
| 473 |
month=month,
|
| 474 |
hour=hour,
|
| 475 |
-
latitude=
|
| 476 |
-
shading_coefficient=window.shading_coefficient if hasattr(window, "shading_coefficient") else 1.0
|
|
|
|
| 477 |
)
|
| 478 |
loads["windows_conduction"] += window_loads["conduction"]
|
| 479 |
loads["windows_solar"] += window_loads["solar"]
|
| 480 |
|
| 481 |
-
#
|
| 482 |
for door in doors:
|
| 483 |
-
|
| 484 |
door=door,
|
| 485 |
outdoor_temp=outdoor_temp,
|
| 486 |
indoor_temp=indoor_temp
|
| 487 |
)
|
| 488 |
-
loads["doors"] += door_load
|
| 489 |
|
| 490 |
-
#
|
| 491 |
if infiltration:
|
| 492 |
-
flow_rate = infiltration.get("flow_rate", 0.0)
|
| 493 |
infiltration_loads = self.calculate_infiltration_cooling_load(
|
| 494 |
-
|
| 495 |
outdoor_temp=outdoor_temp,
|
| 496 |
indoor_temp=indoor_temp,
|
| 497 |
outdoor_rh=outdoor_rh,
|
| 498 |
-
indoor_rh=indoor_rh
|
|
|
|
|
|
|
|
|
|
| 499 |
)
|
| 500 |
loads["infiltration_sensible"] = infiltration_loads["sensible"]
|
| 501 |
loads["infiltration_latent"] = infiltration_loads["latent"]
|
| 502 |
|
| 503 |
-
#
|
| 504 |
if ventilation:
|
| 505 |
flow_rate = ventilation.get("flow_rate", 0.0)
|
| 506 |
ventilation_loads = self.calculate_ventilation_cooling_load(
|
|
@@ -513,71 +675,56 @@ class CoolingLoadCalculator:
|
|
| 513 |
loads["ventilation_sensible"] = ventilation_loads["sensible"]
|
| 514 |
loads["ventilation_latent"] = ventilation_loads["latent"]
|
| 515 |
|
| 516 |
-
#
|
| 517 |
if people:
|
| 518 |
-
|
| 519 |
-
|
| 520 |
-
|
| 521 |
-
|
| 522 |
-
|
| 523 |
-
|
| 524 |
-
|
| 525 |
-
|
| 526 |
-
hour=hour
|
| 527 |
-
|
| 528 |
-
|
| 529 |
-
loads["people_latent"] = people_loads["latent"]
|
| 530 |
|
| 531 |
-
#
|
| 532 |
if lights:
|
| 533 |
-
|
| 534 |
-
|
| 535 |
-
|
| 536 |
-
|
| 537 |
-
|
| 538 |
-
|
| 539 |
-
power=power,
|
| 540 |
-
use_factor=use_factor,
|
| 541 |
-
special_allowance=special_allowance,
|
| 542 |
-
hours_operation=hours_operation,
|
| 543 |
-
hour=hour
|
| 544 |
)
|
| 545 |
-
loads["lights"] = lights_load
|
| 546 |
|
| 547 |
-
#
|
| 548 |
if equipment:
|
| 549 |
-
power = equipment.get("power", 0.0)
|
| 550 |
-
use_factor = equipment.get("use_factor", 1.0)
|
| 551 |
-
radiation_factor = equipment.get("radiation_factor", 0.7)
|
| 552 |
-
hours_operation = equipment.get("hours_operation", "8h")
|
| 553 |
-
|
| 554 |
equipment_loads = self.calculate_equipment_cooling_load(
|
| 555 |
-
power=power,
|
| 556 |
-
use_factor=use_factor,
|
| 557 |
-
radiation_factor=radiation_factor,
|
| 558 |
-
|
| 559 |
-
|
| 560 |
)
|
| 561 |
loads["equipment_sensible"] = equipment_loads["sensible"]
|
| 562 |
loads["equipment_latent"] = equipment_loads["latent"]
|
| 563 |
|
| 564 |
-
# Calculate
|
| 565 |
-
loads["total_sensible"] = (
|
| 566 |
-
loads["walls"]
|
| 567 |
-
loads["windows_conduction"]
|
| 568 |
-
loads["doors"]
|
| 569 |
-
loads["ventilation_sensible"]
|
| 570 |
-
loads["lights"]
|
| 571 |
-
)
|
| 572 |
-
|
| 573 |
-
|
| 574 |
-
loads["
|
| 575 |
-
|
| 576 |
-
)
|
| 577 |
-
|
| 578 |
loads["total"] = loads["total_sensible"] + loads["total_latent"]
|
| 579 |
|
| 580 |
-
# Store loads for this hour
|
| 581 |
hourly_loads[hour] = loads
|
| 582 |
|
| 583 |
return hourly_loads
|
|
@@ -592,15 +739,9 @@ class CoolingLoadCalculator:
|
|
| 592 |
Returns:
|
| 593 |
Dictionary with design cooling loads
|
| 594 |
"""
|
| 595 |
-
# Find hour with maximum total load
|
| 596 |
max_hour = max(hourly_loads.keys(), key=lambda h: hourly_loads[h]["total"])
|
| 597 |
-
|
| 598 |
-
# Get loads for the design hour
|
| 599 |
design_loads = hourly_loads[max_hour].copy()
|
| 600 |
-
|
| 601 |
-
# Add design hour information
|
| 602 |
design_loads["design_hour"] = max_hour
|
| 603 |
-
|
| 604 |
return design_loads
|
| 605 |
|
| 606 |
def calculate_cooling_load_summary(self, design_loads: Dict[str, float]) -> Dict[str, float]:
|
|
@@ -613,28 +754,21 @@ class CoolingLoadCalculator:
|
|
| 613 |
Returns:
|
| 614 |
Dictionary with cooling load summary
|
| 615 |
"""
|
| 616 |
-
|
| 617 |
-
|
| 618 |
-
design_loads["
|
| 619 |
-
design_loads["windows_conduction"] + design_loads["windows_solar"] +
|
| 620 |
design_loads["doors"]
|
| 621 |
-
)
|
| 622 |
-
|
| 623 |
-
# Calculate ventilation and infiltration loads
|
| 624 |
ventilation_loads = design_loads["ventilation_sensible"] + design_loads["ventilation_latent"]
|
| 625 |
infiltration_loads = design_loads["infiltration_sensible"] + design_loads["infiltration_latent"]
|
| 626 |
-
|
| 627 |
-
|
| 628 |
-
|
| 629 |
-
design_loads["
|
| 630 |
-
|
| 631 |
-
)
|
| 632 |
-
|
| 633 |
-
# Calculate sensible heat ratio
|
| 634 |
shr = design_loads["total_sensible"] / design_loads["total"] if design_loads["total"] > 0 else 1.0
|
| 635 |
|
| 636 |
-
|
| 637 |
-
summary = {
|
| 638 |
"envelope_loads": envelope_loads,
|
| 639 |
"ventilation_loads": ventilation_loads,
|
| 640 |
"infiltration_loads": infiltration_loads,
|
|
@@ -645,8 +779,6 @@ class CoolingLoadCalculator:
|
|
| 645 |
"sensible_heat_ratio": shr,
|
| 646 |
"design_hour": design_loads["design_hour"]
|
| 647 |
}
|
| 648 |
-
|
| 649 |
-
return summary
|
| 650 |
|
| 651 |
|
| 652 |
# Create a singleton instance
|
|
@@ -654,10 +786,9 @@ cooling_load_calculator = CoolingLoadCalculator()
|
|
| 654 |
|
| 655 |
# Example usage
|
| 656 |
if __name__ == "__main__":
|
| 657 |
-
# Create sample building components
|
| 658 |
from data.building_components import Wall, Roof, Window, Door, Orientation, ComponentType
|
| 659 |
|
| 660 |
-
#
|
| 661 |
wall = Wall(
|
| 662 |
id="wall1",
|
| 663 |
name="Exterior Wall",
|
|
@@ -666,10 +797,11 @@ if __name__ == "__main__":
|
|
| 666 |
area=20.0,
|
| 667 |
orientation=Orientation.SOUTH,
|
| 668 |
wall_type="Brick",
|
| 669 |
-
wall_group="B"
|
|
|
|
|
|
|
|
|
|
| 670 |
)
|
| 671 |
-
|
| 672 |
-
# Create a sample roof
|
| 673 |
roof = Roof(
|
| 674 |
id="roof1",
|
| 675 |
name="Flat Roof",
|
|
@@ -678,10 +810,11 @@ if __name__ == "__main__":
|
|
| 678 |
area=50.0,
|
| 679 |
orientation=Orientation.HORIZONTAL,
|
| 680 |
roof_type="Concrete",
|
| 681 |
-
roof_group="C"
|
|
|
|
|
|
|
|
|
|
| 682 |
)
|
| 683 |
-
|
| 684 |
-
# Create a sample window
|
| 685 |
window = Window(
|
| 686 |
id="window1",
|
| 687 |
name="South Window",
|
|
@@ -694,10 +827,10 @@ if __name__ == "__main__":
|
|
| 694 |
window_type="Double Glazed",
|
| 695 |
glazing_layers=2,
|
| 696 |
gas_fill="Air",
|
| 697 |
-
low_e_coating=False
|
|
|
|
| 698 |
)
|
| 699 |
|
| 700 |
-
# Define building components
|
| 701 |
building_components = {
|
| 702 |
"walls": [wall],
|
| 703 |
"roofs": [roof],
|
|
@@ -712,63 +845,62 @@ if __name__ == "__main__":
|
|
| 712 |
"relative_humidity": 50.0,
|
| 713 |
"ground_temperature": 20.0,
|
| 714 |
"month": "Jul",
|
| 715 |
-
"latitude": "40N"
|
|
|
|
|
|
|
| 716 |
}
|
| 717 |
-
|
| 718 |
indoor_conditions = {
|
| 719 |
"temperature": 24.0,
|
| 720 |
"relative_humidity": 50.0
|
| 721 |
}
|
| 722 |
|
| 723 |
-
# Define internal loads
|
|
|
|
|
|
|
|
|
|
|
|
|
| 724 |
internal_loads = {
|
| 725 |
"people": {
|
| 726 |
"number": 3,
|
| 727 |
"activity_level": "Seated/Resting",
|
| 728 |
-
"
|
| 729 |
},
|
| 730 |
"lights": {
|
| 731 |
"power": 500.0,
|
| 732 |
"use_factor": 0.9,
|
| 733 |
"special_allowance": 0.1,
|
| 734 |
-
"
|
| 735 |
},
|
| 736 |
"equipment": {
|
| 737 |
"power": 1000.0,
|
| 738 |
"use_factor": 0.7,
|
| 739 |
"radiation_factor": 0.7,
|
| 740 |
-
"
|
| 741 |
},
|
| 742 |
"infiltration": {
|
| 743 |
-
"
|
|
|
|
| 744 |
},
|
| 745 |
"ventilation": {
|
| 746 |
"flow_rate": 0.1
|
| 747 |
}
|
| 748 |
}
|
| 749 |
|
| 750 |
-
# Calculate
|
| 751 |
hourly_loads = cooling_load_calculator.calculate_hourly_cooling_loads(
|
| 752 |
building_components=building_components,
|
| 753 |
outdoor_conditions=outdoor_conditions,
|
| 754 |
indoor_conditions=indoor_conditions,
|
| 755 |
-
internal_loads=internal_loads
|
|
|
|
| 756 |
)
|
| 757 |
-
|
| 758 |
-
# Calculate design cooling load
|
| 759 |
design_loads = cooling_load_calculator.calculate_design_cooling_load(hourly_loads)
|
| 760 |
-
|
| 761 |
-
# Calculate cooling load summary
|
| 762 |
summary = cooling_load_calculator.calculate_cooling_load_summary(design_loads)
|
| 763 |
|
| 764 |
# Print results
|
| 765 |
print("Cooling Load Summary:")
|
| 766 |
-
|
| 767 |
-
|
| 768 |
-
|
| 769 |
-
|
| 770 |
-
|
| 771 |
-
print(f"Total Latent: {summary['total_latent']:.2f} W")
|
| 772 |
-
print(f"Total: {summary['total']:.2f} W")
|
| 773 |
-
print(f"Sensible Heat Ratio: {summary['sensible_heat_ratio']:.2f}")
|
| 774 |
-
print(f"Design Hour: {summary['design_hour']}")
|
|
|
|
| 1 |
"""
|
| 2 |
Cooling load calculation module for HVAC Load Calculator.
|
| 3 |
+
This module implements an enhanced CLTD/CLF method with dynamic heat transfer,
|
| 4 |
+
detailed solar calculations, and pressure-driven infiltration.
|
| 5 |
"""
|
| 6 |
|
| 7 |
from typing import Dict, List, Any, Optional, Tuple
|
|
|
|
| 23 |
|
| 24 |
|
| 25 |
class CoolingLoadCalculator:
|
| 26 |
+
"""Class for calculating cooling loads using an enhanced CLTD/CLF method."""
|
| 27 |
|
| 28 |
def __init__(self):
|
| 29 |
+
"""Initialize cooling load calculator with heat transfer and psychrometrics utilities."""
|
| 30 |
self.heat_transfer = HeatTransferCalculations()
|
| 31 |
self.psychrometrics = Psychrometrics()
|
| 32 |
self.ashrae_tables = ASHRAETables()
|
| 33 |
|
| 34 |
+
def validate_inputs(self, temp: float, rh: float, area: float, u_value: float) -> None:
|
| 35 |
+
"""
|
| 36 |
+
Validate input parameters for calculations.
|
| 37 |
+
|
| 38 |
+
Args:
|
| 39 |
+
temp: Temperature in °C
|
| 40 |
+
rh: Relative humidity in %
|
| 41 |
+
area: Area in m²
|
| 42 |
+
u_value: U-value in W/(m²·K)
|
| 43 |
+
|
| 44 |
+
Raises:
|
| 45 |
+
ValueError: If inputs are out of acceptable ranges
|
| 46 |
+
"""
|
| 47 |
+
if not -50 <= temp <= 60:
|
| 48 |
+
raise ValueError(f"Temperature {temp}°C is outside valid range (-50 to 60°C)")
|
| 49 |
+
if not 0 <= rh <= 100:
|
| 50 |
+
raise ValueError(f"Relative humidity {rh}% is outside valid range (0 to 100%)")
|
| 51 |
+
if area < 0:
|
| 52 |
+
raise ValueError(f"Area {area}m² cannot be negative")
|
| 53 |
+
if u_value < 0:
|
| 54 |
+
raise ValueError(f"U-value {u_value} W/(m²·K) cannot be negative")
|
| 55 |
+
|
| 56 |
def calculate_wall_cooling_load(self, wall: Wall, outdoor_temp: float, indoor_temp: float,
|
| 57 |
month: str, hour: int, latitude: str = "40N",
|
| 58 |
+
color: str = "Dark", day_of_year: int = 204,
|
| 59 |
+
wind_speed: float = 4.0) -> float:
|
| 60 |
"""
|
| 61 |
+
Calculate cooling load through a wall using enhanced CLTD method with thermal mass.
|
| 62 |
|
| 63 |
Args:
|
| 64 |
wall: Wall object
|
| 65 |
outdoor_temp: Outdoor temperature in °C
|
| 66 |
indoor_temp: Indoor temperature in °C
|
| 67 |
+
month: Month (Jan, Feb, ..., Dec)
|
| 68 |
hour: Hour of the day (0-23)
|
| 69 |
latitude: Latitude (24N, 32N, 40N, 48N, 56N)
|
| 70 |
color: Surface color (Dark, Medium, Light)
|
| 71 |
+
day_of_year: Day of year (1-365, default: 204 for mid-July)
|
| 72 |
+
wind_speed: Wind speed in m/s (default: 4.0 m/s)
|
| 73 |
|
| 74 |
Returns:
|
| 75 |
Cooling load in W
|
| 76 |
"""
|
| 77 |
+
self.validate_inputs(outdoor_temp, 50.0, wall.area, wall.u_value)
|
| 78 |
+
|
| 79 |
# Get wall properties
|
| 80 |
u_value = wall.u_value
|
| 81 |
area = wall.area
|
| 82 |
orientation = wall.orientation.value
|
| 83 |
wall_group = wall.wall_group
|
| 84 |
+
surface_absorptivity = {"Dark": 0.9, "Medium": 0.6, "Light": 0.3}.get(color, 0.9)
|
| 85 |
+
|
| 86 |
+
# Calculate sol-air temperature
|
| 87 |
+
latitude_deg = float(latitude[:-1]) if latitude.endswith("N") else -float(latitude[:-1])
|
| 88 |
+
solar_altitude = self.heat_transfer.solar_altitude(
|
| 89 |
+
latitude=latitude_deg,
|
| 90 |
+
declination=self.heat_transfer.solar_declination(day_of_year),
|
| 91 |
+
hour_angle=self.heat_transfer.solar_hour_angle(hour)
|
| 92 |
+
)
|
| 93 |
+
dni = self.heat_transfer.direct_normal_irradiance(solar_altitude)
|
| 94 |
+
dhi = self.heat_transfer.diffuse_horizontal_irradiance(dni, solar_altitude)
|
| 95 |
+
irradiance = self.heat_transfer.irradiance_on_surface(
|
| 96 |
+
dni, dhi,
|
| 97 |
+
incident_angle=self.heat_transfer.incident_angle(
|
| 98 |
+
surface_tilt=90, # Vertical wall
|
| 99 |
+
surface_azimuth={"NORTH": 0, "EAST": 90, "SOUTH": 180, "WEST": 270}.get(orientation, 180),
|
| 100 |
+
solar_altitude=solar_altitude,
|
| 101 |
+
solar_azimuth=self.heat_transfer.solar_azimuth(
|
| 102 |
+
latitude_deg,
|
| 103 |
+
self.heat_transfer.solar_declination(day_of_year),
|
| 104 |
+
self.heat_transfer.solar_hour_angle(hour),
|
| 105 |
+
solar_altitude
|
| 106 |
+
)
|
| 107 |
+
),
|
| 108 |
+
surface_tilt=90
|
| 109 |
+
)
|
| 110 |
+
sol_air_temp = self.heat_transfer.sol_air_temperature(
|
| 111 |
+
outdoor_temp=outdoor_temp,
|
| 112 |
+
solar_irradiance=irradiance,
|
| 113 |
+
surface_absorptivity=surface_absorptivity,
|
| 114 |
+
surface_resistance=0.04 # Typical for wind-exposed surface
|
| 115 |
+
)
|
| 116 |
|
| 117 |
+
# Calculate corrected CLTD with sol-air temperature
|
| 118 |
cltd = self.ashrae_tables.calculate_corrected_cltd_wall(
|
| 119 |
wall_group=wall_group,
|
| 120 |
orientation=orientation,
|
|
|
|
| 123 |
month=month,
|
| 124 |
latitude=latitude,
|
| 125 |
indoor_temp=indoor_temp,
|
| 126 |
+
outdoor_temp=sol_air_temp # Use sol-air temperature
|
| 127 |
)
|
| 128 |
|
| 129 |
+
# Apply thermal mass effect
|
| 130 |
+
thermal_mass = getattr(wall, "thermal_mass", 100000) # J/K, default value
|
| 131 |
+
time_constant = getattr(wall, "time_constant", 2.0) # hours, default
|
| 132 |
+
lag_factor = self.heat_transfer.thermal_lag_factor(thermal_mass, time_constant, 1.0)
|
| 133 |
+
cltd_adjusted = cltd * lag_factor
|
| 134 |
+
|
| 135 |
# Calculate cooling load
|
| 136 |
+
cooling_load = u_value * area * cltd_adjusted
|
| 137 |
|
| 138 |
+
return max(0, cooling_load)
|
| 139 |
|
| 140 |
def calculate_roof_cooling_load(self, roof: Roof, outdoor_temp: float, indoor_temp: float,
|
| 141 |
month: str, hour: int, latitude: str = "40N",
|
| 142 |
+
color: str = "Dark", day_of_year: int = 204,
|
| 143 |
+
wind_speed: float = 4.0) -> float:
|
| 144 |
"""
|
| 145 |
+
Calculate cooling load through a roof using enhanced CLTD method with thermal mass.
|
| 146 |
|
| 147 |
Args:
|
| 148 |
roof: Roof object
|
| 149 |
outdoor_temp: Outdoor temperature in °C
|
| 150 |
indoor_temp: Indoor temperature in °C
|
| 151 |
+
month: Month (Jan, Feb, ..., Dec)
|
| 152 |
hour: Hour of the day (0-23)
|
| 153 |
latitude: Latitude (24N, 32N, 40N, 48N, 56N)
|
| 154 |
color: Surface color (Dark, Medium, Light)
|
| 155 |
+
day_of_year: Day of year (1-365, default: 204 for mid-July)
|
| 156 |
+
wind_speed: Wind speed in m/s (default: 4.0 m/s)
|
| 157 |
|
| 158 |
Returns:
|
| 159 |
Cooling load in W
|
| 160 |
"""
|
| 161 |
+
self.validate_inputs(outdoor_temp, 50.0, roof.area, roof.u_value)
|
| 162 |
+
|
| 163 |
# Get roof properties
|
| 164 |
u_value = roof.u_value
|
| 165 |
area = roof.area
|
| 166 |
roof_group = roof.roof_group
|
| 167 |
+
surface_absorptivity = {"Dark": 0.9, "Medium": 0.6, "Light": 0.3}.get(color, 0.9)
|
| 168 |
+
|
| 169 |
+
# Calculate sol-air temperature
|
| 170 |
+
latitude_deg = float(latitude[:-1]) if latitude.endswith("N") else -float(latitude[:-1])
|
| 171 |
+
solar_altitude = self.heat_transfer.solar_altitude(
|
| 172 |
+
latitude=latitude_deg,
|
| 173 |
+
declination=self.heat_transfer.solar_declination(day_of_year),
|
| 174 |
+
hour_angle=self.heat_transfer.solar_hour_angle(hour)
|
| 175 |
+
)
|
| 176 |
+
dni = self.heat_transfer.direct_normal_irradiance(solar_altitude)
|
| 177 |
+
dhi = self.heat_transfer.diffuse_horizontal_irradiance(dni, solar_altitude)
|
| 178 |
+
irradiance = self.heat_transfer.irradiance_on_surface(
|
| 179 |
+
dni, dhi,
|
| 180 |
+
incident_angle=self.heat_transfer.incident_angle(
|
| 181 |
+
surface_tilt=0, # Horizontal roof
|
| 182 |
+
surface_azimuth=0,
|
| 183 |
+
solar_altitude=solar_altitude,
|
| 184 |
+
solar_azimuth=self.heat_transfer.solar_azimuth(
|
| 185 |
+
latitude_deg,
|
| 186 |
+
self.heat_transfer.solar_declination(day_of_year),
|
| 187 |
+
self.heat_transfer.solar_hour_angle(hour),
|
| 188 |
+
solar_altitude
|
| 189 |
+
)
|
| 190 |
+
),
|
| 191 |
+
surface_tilt=0
|
| 192 |
+
)
|
| 193 |
+
sol_air_temp = self.heat_transfer.sol_air_temperature(
|
| 194 |
+
outdoor_temp=outdoor_temp,
|
| 195 |
+
solar_irradiance=irradiance,
|
| 196 |
+
surface_absorptivity=surface_absorptivity,
|
| 197 |
+
surface_resistance=0.04
|
| 198 |
+
)
|
| 199 |
|
| 200 |
# Calculate corrected CLTD
|
| 201 |
cltd = self.ashrae_tables.calculate_corrected_cltd_roof(
|
|
|
|
| 205 |
month=month,
|
| 206 |
latitude=latitude,
|
| 207 |
indoor_temp=indoor_temp,
|
| 208 |
+
outdoor_temp=sol_air_temp
|
| 209 |
)
|
| 210 |
|
| 211 |
+
# Apply thermal mass effect
|
| 212 |
+
thermal_mass = getattr(roof, "thermal_mass", 200000) # J/K, default
|
| 213 |
+
time_constant = getattr(roof, "time_constant", 3.0) # hours, default
|
| 214 |
+
lag_factor = self.heat_transfer.thermal_lag_factor(thermal_mass, time_constant, 1.0)
|
| 215 |
+
cltd_adjusted = cltd * lag_factor
|
| 216 |
+
|
| 217 |
# Calculate cooling load
|
| 218 |
+
cooling_load = u_value * area * cltd_adjusted
|
| 219 |
|
| 220 |
+
return max(0, cooling_load)
|
| 221 |
|
| 222 |
def calculate_window_cooling_load(self, window: Window, outdoor_temp: float, indoor_temp: float,
|
| 223 |
+
month: str, hour: int, latitude: str = "40N",
|
| 224 |
+
shading_coefficient: float = 1.0, day_of_year: int = 204) -> Dict[str, float]:
|
| 225 |
"""
|
| 226 |
+
Calculate cooling load through a window using dynamic solar calculations.
|
| 227 |
|
| 228 |
Args:
|
| 229 |
window: Window object
|
| 230 |
outdoor_temp: Outdoor temperature in °C
|
| 231 |
indoor_temp: Indoor temperature in °C
|
| 232 |
+
month: Month (Jan, Feb, ..., Dec)
|
| 233 |
hour: Hour of the day (0-23)
|
| 234 |
+
latitude: Latitude (24N, 32N, 40N, 48N, 56N)
|
| 235 |
shading_coefficient: Shading coefficient (0-1)
|
| 236 |
+
day_of_year: Day of year (1-365, default: 204 for mid-July)
|
| 237 |
|
| 238 |
Returns:
|
| 239 |
Dictionary with conduction, solar, and total cooling loads in W
|
| 240 |
"""
|
| 241 |
+
self.validate_inputs(outdoor_temp, 50.0, window.area, window.u_value)
|
| 242 |
+
|
| 243 |
# Get window properties
|
| 244 |
u_value = window.u_value
|
| 245 |
area = window.area
|
|
|
|
| 250 |
delta_t = outdoor_temp - indoor_temp
|
| 251 |
conduction_load = u_value * area * delta_t
|
| 252 |
|
| 253 |
+
# Calculate solar cooling load dynamically
|
| 254 |
+
latitude_deg = float(latitude[:-1]) if latitude.endswith("N") else -float(latitude[:-1])
|
| 255 |
+
solar_altitude = self.heat_transfer.solar_altitude(
|
| 256 |
+
latitude=latitude_deg,
|
| 257 |
+
declination=self.heat_transfer.solar_declination(day_of_year),
|
| 258 |
+
hour_angle=self.heat_transfer.solar_hour_angle(hour)
|
| 259 |
+
)
|
| 260 |
+
solar_azimuth = self.heat_transfer.solar_azimuth(
|
| 261 |
+
latitude=latitude_deg,
|
| 262 |
+
declination=self.heat_transfer.solar_declination(day_of_year),
|
| 263 |
+
hour_angle=self.heat_transfer.solar_hour_angle(hour),
|
| 264 |
+
altitude=solar_altitude
|
| 265 |
+
)
|
| 266 |
+
incident_angle = self.heat_transfer.incident_angle(
|
| 267 |
+
surface_tilt=90, # Vertical window
|
| 268 |
+
surface_azimuth={"NORTH": 0, "EAST": 90, "SOUTH": 180, "WEST": 270}.get(orientation, 180),
|
| 269 |
+
solar_altitude=solar_altitude,
|
| 270 |
+
solar_azimuth=solar_azimuth
|
| 271 |
+
)
|
| 272 |
+
dni = self.heat_transfer.direct_normal_irradiance(solar_altitude)
|
| 273 |
+
dhi = self.heat_transfer.diffuse_horizontal_irradiance(dni, solar_altitude)
|
| 274 |
+
irradiance = self.heat_transfer.irradiance_on_surface(dni, dhi, incident_angle, surface_tilt=90)
|
| 275 |
+
solar_load = self.heat_transfer.solar_heat_gain(
|
| 276 |
+
irradiance=irradiance,
|
| 277 |
+
area=area,
|
| 278 |
+
shgc=shgc,
|
| 279 |
+
shading_coefficient=shading_coefficient
|
| 280 |
+
)
|
| 281 |
|
| 282 |
# Calculate total cooling load
|
| 283 |
total_load = conduction_load + solar_load
|
| 284 |
|
| 285 |
return {
|
| 286 |
+
"conduction": max(0, conduction_load),
|
| 287 |
+
"solar": max(0, solar_load),
|
| 288 |
+
"total": max(0, total_load)
|
| 289 |
}
|
| 290 |
|
| 291 |
def calculate_door_cooling_load(self, door: Door, outdoor_temp: float, indoor_temp: float) -> float:
|
|
|
|
| 300 |
Returns:
|
| 301 |
Cooling load in W
|
| 302 |
"""
|
| 303 |
+
self.validate_inputs(outdoor_temp, 50.0, door.area, door.u_value)
|
| 304 |
+
|
| 305 |
u_value = door.u_value
|
| 306 |
area = door.area
|
|
|
|
|
|
|
| 307 |
delta_t = outdoor_temp - indoor_temp
|
| 308 |
cooling_load = u_value * area * delta_t
|
| 309 |
|
| 310 |
+
return max(0, cooling_load)
|
| 311 |
|
| 312 |
def calculate_floor_cooling_load(self, floor: Floor, ground_temp: float, indoor_temp: float) -> float:
|
| 313 |
"""
|
|
|
|
| 321 |
Returns:
|
| 322 |
Cooling load in W
|
| 323 |
"""
|
| 324 |
+
self.validate_inputs(ground_temp, 50.0, floor.area, floor.u_value)
|
| 325 |
+
|
| 326 |
u_value = floor.u_value
|
| 327 |
area = floor.area
|
|
|
|
|
|
|
| 328 |
delta_t = ground_temp - indoor_temp
|
| 329 |
cooling_load = u_value * area * delta_t
|
| 330 |
|
|
|
|
| 331 |
return max(0, cooling_load)
|
| 332 |
|
| 333 |
+
def calculate_infiltration_cooling_load(self, building_volume: float, outdoor_temp: float,
|
| 334 |
+
indoor_temp: float, outdoor_rh: float, indoor_rh: float,
|
| 335 |
+
wind_speed: float = 4.0, height: float = 3.0,
|
| 336 |
+
crack_length: float = 10.0) -> Dict[str, float]:
|
| 337 |
"""
|
| 338 |
+
Calculate sensible and latent cooling loads due to pressure-driven infiltration.
|
| 339 |
|
| 340 |
Args:
|
| 341 |
+
building_volume: Building volume in m³
|
| 342 |
outdoor_temp: Outdoor temperature in °C
|
| 343 |
indoor_temp: Indoor temperature in °C
|
| 344 |
outdoor_rh: Outdoor relative humidity in %
|
| 345 |
indoor_rh: Indoor relative humidity in %
|
| 346 |
+
wind_speed: Wind speed in m/s (default: 4.0 m/s)
|
| 347 |
+
height: Building height in m (default: 3.0 m)
|
| 348 |
+
crack_length: Total crack length in m (default: 10.0 m)
|
| 349 |
|
| 350 |
Returns:
|
| 351 |
Dictionary with sensible, latent, and total cooling loads in W
|
| 352 |
"""
|
| 353 |
+
self.validate_inputs(outdoor_temp, outdoor_rh, building_volume, 0.0)
|
| 354 |
+
|
| 355 |
+
# Calculate infiltration flow rate
|
| 356 |
+
wind_pd = self.heat_transfer.wind_pressure_difference(wind_speed, wind_coefficient=0.4)
|
| 357 |
+
stack_pd = self.heat_transfer.stack_pressure_difference(
|
| 358 |
+
height=height,
|
| 359 |
+
indoor_temp=indoor_temp + 273.15,
|
| 360 |
+
outdoor_temp=outdoor_temp + 273.15
|
| 361 |
+
)
|
| 362 |
+
total_pd = self.heat_transfer.combined_pressure_difference(wind_pd, stack_pd)
|
| 363 |
+
flow_rate = self.heat_transfer.crack_method_infiltration(
|
| 364 |
+
crack_length=crack_length,
|
| 365 |
+
coefficient=0.0001,
|
| 366 |
+
pressure_difference=total_pd
|
| 367 |
+
)
|
| 368 |
+
|
| 369 |
# Calculate sensible cooling load
|
| 370 |
sensible_load = self.heat_transfer.infiltration_heat_transfer(
|
| 371 |
flow_rate=flow_rate,
|
|
|
|
| 382 |
delta_w=w_outdoor - w_indoor
|
| 383 |
)
|
| 384 |
|
|
|
|
| 385 |
total_load = sensible_load + latent_load
|
| 386 |
|
| 387 |
return {
|
| 388 |
+
"sensible": max(0, sensible_load),
|
| 389 |
+
"latent": max(0, latent_load),
|
| 390 |
+
"total": max(0, total_load)
|
| 391 |
}
|
| 392 |
|
| 393 |
def calculate_ventilation_cooling_load(self, flow_rate: float, outdoor_temp: float, indoor_temp: float,
|
| 394 |
+
outdoor_rh: float, indoor_rh: float) -> Dict[str, float]:
|
| 395 |
"""
|
| 396 |
Calculate sensible and latent cooling loads due to ventilation.
|
| 397 |
|
|
|
|
| 405 |
Returns:
|
| 406 |
Dictionary with sensible, latent, and total cooling loads in W
|
| 407 |
"""
|
| 408 |
+
self.validate_inputs(outdoor_temp, outdoor_rh, 0.0, 0.0)
|
| 409 |
+
|
| 410 |
+
sensible_load = self.heat_transfer.infiltration_heat_transfer(
|
| 411 |
flow_rate=flow_rate,
|
| 412 |
+
delta_t=outdoor_temp - indoor_temp
|
|
|
|
|
|
|
|
|
|
| 413 |
)
|
| 414 |
+
w_outdoor = self.psychrometrics.humidity_ratio(outdoor_temp, outdoor_rh)
|
| 415 |
+
w_indoor = self.psychrometrics.humidity_ratio(indoor_temp, indoor_rh)
|
| 416 |
+
latent_load = self.heat_transfer.infiltration_latent_heat_transfer(
|
| 417 |
+
flow_rate=flow_rate,
|
| 418 |
+
delta_w=w_outdoor - w_indoor
|
| 419 |
+
)
|
| 420 |
+
total_load = sensible_load + latent_load
|
| 421 |
+
|
| 422 |
+
return {
|
| 423 |
+
"sensible": max(0, sensible_load),
|
| 424 |
+
"latent": max(0, latent_load),
|
| 425 |
+
"total": max(0, total_load)
|
| 426 |
+
}
|
| 427 |
|
| 428 |
def calculate_people_cooling_load(self, num_people: int, activity_level: str,
|
| 429 |
+
hour: int, occupancy_schedule: Optional[List[float]] = None) -> Dict[str, float]:
|
| 430 |
"""
|
| 431 |
+
Calculate sensible and latent cooling loads due to people with schedule.
|
| 432 |
|
| 433 |
Args:
|
| 434 |
num_people: Number of people
|
| 435 |
activity_level: Activity level (Seated/Resting, Light work, Medium work, Heavy work)
|
|
|
|
| 436 |
hour: Hour of the day (0-23)
|
| 437 |
+
occupancy_schedule: List of 24 hourly occupancy factors (0-1, default: None)
|
| 438 |
|
| 439 |
Returns:
|
| 440 |
Dictionary with sensible, latent, and total cooling loads in W
|
| 441 |
"""
|
|
|
|
| 442 |
activity_gains = {
|
| 443 |
"Seated/Resting": {"sensible": 70, "latent": 45},
|
| 444 |
"Light work": {"sensible": 75, "latent": 55},
|
|
|
|
| 446 |
"Heavy work": {"sensible": 95, "latent": 145}
|
| 447 |
}
|
| 448 |
|
|
|
|
| 449 |
if activity_level not in activity_gains:
|
| 450 |
raise ValueError(f"Invalid activity level: {activity_level}")
|
| 451 |
|
| 452 |
sensible_gain = activity_gains[activity_level]["sensible"]
|
| 453 |
latent_gain = activity_gains[activity_level]["latent"]
|
| 454 |
|
| 455 |
+
# Apply occupancy schedule
|
| 456 |
+
occupancy_factor = 1.0
|
| 457 |
+
if occupancy_schedule and len(occupancy_schedule) == 24:
|
| 458 |
+
occupancy_factor = occupancy_schedule[hour]
|
| 459 |
|
| 460 |
+
sensible_load = num_people * sensible_gain * occupancy_factor
|
| 461 |
+
latent_load = num_people * latent_gain * occupancy_factor
|
|
|
|
| 462 |
total_load = sensible_load + latent_load
|
| 463 |
|
| 464 |
return {
|
| 465 |
+
"sensible": max(0, sensible_load),
|
| 466 |
+
"latent": max(0, latent_load),
|
| 467 |
+
"total": max(0, total_load)
|
| 468 |
}
|
| 469 |
|
| 470 |
def calculate_lights_cooling_load(self, power: float, use_factor: float,
|
| 471 |
+
special_allowance: float, hour: int,
|
| 472 |
+
lighting_schedule: Optional[List[float]] = None) -> float:
|
| 473 |
"""
|
| 474 |
+
Calculate cooling load due to lights with schedule.
|
| 475 |
|
| 476 |
Args:
|
| 477 |
power: Installed lighting power in W
|
| 478 |
use_factor: Usage factor (0-1)
|
| 479 |
special_allowance: Special allowance factor for fixtures (0-1)
|
|
|
|
| 480 |
hour: Hour of the day (0-23)
|
| 481 |
+
lighting_schedule: List of 24 hourly lighting factors (0-1, default: None)
|
| 482 |
|
| 483 |
Returns:
|
| 484 |
Cooling load in W
|
| 485 |
"""
|
| 486 |
+
schedule_factor = 1.0
|
| 487 |
+
if lighting_schedule and len(lighting_schedule) == 24:
|
| 488 |
+
schedule_factor = lighting_schedule[hour]
|
| 489 |
|
| 490 |
+
cooling_load = power * use_factor * (1 + special_allowance) * schedule_factor
|
|
|
|
| 491 |
|
| 492 |
+
return max(0, cooling_load)
|
| 493 |
|
| 494 |
def calculate_equipment_cooling_load(self, power: float, use_factor: float,
|
| 495 |
+
radiation_factor: float, hour: int,
|
| 496 |
+
equipment_schedule: Optional[List[float]] = None) -> Dict[str, float]:
|
| 497 |
"""
|
| 498 |
+
Calculate sensible and latent cooling loads due to equipment with schedule.
|
| 499 |
|
| 500 |
Args:
|
| 501 |
power: Equipment power in W
|
| 502 |
use_factor: Usage factor (0-1)
|
| 503 |
radiation_factor: Radiation factor (0-1)
|
|
|
|
| 504 |
hour: Hour of the day (0-23)
|
| 505 |
+
equipment_schedule: List of 24 hourly equipment factors (0-1, default: None)
|
| 506 |
|
| 507 |
Returns:
|
| 508 |
Dictionary with sensible, latent, and total cooling loads in W
|
| 509 |
"""
|
| 510 |
+
schedule_factor = 1.0
|
| 511 |
+
if equipment_schedule and len(equipment_schedule) == 24:
|
| 512 |
+
schedule_factor = equipment_schedule[hour]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 513 |
|
| 514 |
+
sensible_load = power * use_factor * radiation_factor * schedule_factor
|
| 515 |
+
latent_load = power * use_factor * (1 - radiation_factor) * schedule_factor
|
| 516 |
total_load = sensible_load + latent_load
|
| 517 |
|
| 518 |
return {
|
| 519 |
+
"sensible": max(0, sensible_load),
|
| 520 |
+
"latent": max(0, latent_load),
|
| 521 |
+
"total": max(0, total_load)
|
| 522 |
}
|
| 523 |
|
| 524 |
def calculate_hourly_cooling_loads(self, building_components: Dict[str, List[Any]],
|
| 525 |
outdoor_conditions: Dict[str, Any],
|
| 526 |
indoor_conditions: Dict[str, Any],
|
| 527 |
+
internal_loads: Dict[str, Any],
|
| 528 |
+
building_volume: float = 300.0) -> Dict[int, Dict[str, float]]:
|
| 529 |
"""
|
| 530 |
+
Calculate hourly cooling loads for a building with enhanced calculations.
|
| 531 |
|
| 532 |
Args:
|
| 533 |
building_components: Dictionary with lists of building components
|
| 534 |
outdoor_conditions: Dictionary with outdoor conditions
|
| 535 |
indoor_conditions: Dictionary with indoor conditions
|
| 536 |
internal_loads: Dictionary with internal loads
|
| 537 |
+
building_volume: Building volume in m³ (default: 300 m³)
|
| 538 |
|
| 539 |
Returns:
|
| 540 |
Dictionary with hourly cooling loads
|
| 541 |
"""
|
| 542 |
+
# Extract inputs
|
| 543 |
walls = building_components.get("walls", [])
|
| 544 |
roofs = building_components.get("roofs", [])
|
| 545 |
floors = building_components.get("floors", [])
|
| 546 |
windows = building_components.get("windows", [])
|
| 547 |
doors = building_components.get("doors", [])
|
| 548 |
|
|
|
|
| 549 |
outdoor_temp = outdoor_conditions.get("temperature", 35.0)
|
| 550 |
outdoor_rh = outdoor_conditions.get("relative_humidity", 50.0)
|
| 551 |
ground_temp = outdoor_conditions.get("ground_temperature", 20.0)
|
| 552 |
month = outdoor_conditions.get("month", "Jul")
|
| 553 |
latitude = outdoor_conditions.get("latitude", "40N")
|
| 554 |
+
wind_speed = outdoor_conditions.get("wind_speed", 4.0)
|
| 555 |
+
day_of_year = outdoor_conditions.get("day_of_year", 204)
|
| 556 |
|
|
|
|
| 557 |
indoor_temp = indoor_conditions.get("temperature", 24.0)
|
| 558 |
indoor_rh = indoor_conditions.get("relative_humidity", 50.0)
|
| 559 |
|
|
|
|
| 560 |
people = internal_loads.get("people", {})
|
| 561 |
lights = internal_loads.get("lights", {})
|
| 562 |
equipment = internal_loads.get("equipment", {})
|
| 563 |
infiltration = internal_loads.get("infiltration", {})
|
| 564 |
ventilation = internal_loads.get("ventilation", {})
|
| 565 |
|
| 566 |
+
# Initialize hourly loads
|
| 567 |
hourly_loads = {}
|
| 568 |
|
|
|
|
| 569 |
for hour in range(24):
|
|
|
|
| 570 |
loads = {
|
| 571 |
"walls": 0,
|
| 572 |
"roofs": 0,
|
|
|
|
| 588 |
"total": 0
|
| 589 |
}
|
| 590 |
|
| 591 |
+
# Wall loads
|
| 592 |
for wall in walls:
|
| 593 |
+
loads["walls"] += self.calculate_wall_cooling_load(
|
| 594 |
wall=wall,
|
| 595 |
outdoor_temp=outdoor_temp,
|
| 596 |
indoor_temp=indoor_temp,
|
| 597 |
month=month,
|
| 598 |
hour=hour,
|
| 599 |
latitude=latitude,
|
| 600 |
+
color=wall.color if hasattr(wall, "color") else "Dark",
|
| 601 |
+
day_of_year=day_of_year,
|
| 602 |
+
wind_speed=wind_speed
|
| 603 |
)
|
|
|
|
| 604 |
|
| 605 |
+
# Roof loads
|
| 606 |
for roof in roofs:
|
| 607 |
+
loads["roofs"] += self.calculate_roof_cooling_load(
|
| 608 |
roof=roof,
|
| 609 |
outdoor_temp=outdoor_temp,
|
| 610 |
indoor_temp=indoor_temp,
|
| 611 |
month=month,
|
| 612 |
hour=hour,
|
| 613 |
latitude=latitude,
|
| 614 |
+
color=roof.color if hasattr(roof, "color") else "Dark",
|
| 615 |
+
day_of_year=day_of_year,
|
| 616 |
+
wind_speed=wind_speed
|
| 617 |
)
|
|
|
|
| 618 |
|
| 619 |
+
# Floor loads
|
| 620 |
for floor in floors:
|
| 621 |
+
loads["floors"] += self.calculate_floor_cooling_load(
|
| 622 |
floor=floor,
|
| 623 |
ground_temp=ground_temp,
|
| 624 |
indoor_temp=indoor_temp
|
| 625 |
)
|
|
|
|
| 626 |
|
| 627 |
+
# Window loads
|
| 628 |
for window in windows:
|
| 629 |
window_loads = self.calculate_window_cooling_load(
|
| 630 |
window=window,
|
|
|
|
| 632 |
indoor_temp=indoor_temp,
|
| 633 |
month=month,
|
| 634 |
hour=hour,
|
| 635 |
+
latitude=latitude,
|
| 636 |
+
shading_coefficient=window.shading_coefficient if hasattr(window, "shading_coefficient") else 1.0,
|
| 637 |
+
day_of_year=day_of_year
|
| 638 |
)
|
| 639 |
loads["windows_conduction"] += window_loads["conduction"]
|
| 640 |
loads["windows_solar"] += window_loads["solar"]
|
| 641 |
|
| 642 |
+
# Door loads
|
| 643 |
for door in doors:
|
| 644 |
+
loads["doors"] += self.calculate_door_cooling_load(
|
| 645 |
door=door,
|
| 646 |
outdoor_temp=outdoor_temp,
|
| 647 |
indoor_temp=indoor_temp
|
| 648 |
)
|
|
|
|
| 649 |
|
| 650 |
+
# Infiltration loads
|
| 651 |
if infiltration:
|
|
|
|
| 652 |
infiltration_loads = self.calculate_infiltration_cooling_load(
|
| 653 |
+
building_volume=building_volume,
|
| 654 |
outdoor_temp=outdoor_temp,
|
| 655 |
indoor_temp=indoor_temp,
|
| 656 |
outdoor_rh=outdoor_rh,
|
| 657 |
+
indoor_rh=indoor_rh,
|
| 658 |
+
wind_speed=wind_speed,
|
| 659 |
+
height=infiltration.get("height", 3.0),
|
| 660 |
+
crack_length=infiltration.get("crack_length", 10.0)
|
| 661 |
)
|
| 662 |
loads["infiltration_sensible"] = infiltration_loads["sensible"]
|
| 663 |
loads["infiltration_latent"] = infiltration_loads["latent"]
|
| 664 |
|
| 665 |
+
# Ventilation loads
|
| 666 |
if ventilation:
|
| 667 |
flow_rate = ventilation.get("flow_rate", 0.0)
|
| 668 |
ventilation_loads = self.calculate_ventilation_cooling_load(
|
|
|
|
| 675 |
loads["ventilation_sensible"] = ventilation_loads["sensible"]
|
| 676 |
loads["ventilation_latent"] = ventilation_loads["latent"]
|
| 677 |
|
| 678 |
+
# People loads
|
| 679 |
if people:
|
| 680 |
+
loads["people_sensible"], loads["people_latent"] = self.calculate_people_cooling_load(
|
| 681 |
+
num_people=people.get("number", 0),
|
| 682 |
+
activity_level=people.get("activity_level", "Seated/Resting"),
|
| 683 |
+
hour=hour,
|
| 684 |
+
occupancy_schedule=people.get("occupancy_schedule", None)
|
| 685 |
+
)["sensible"], self.calculate_people_cooling_load(
|
| 686 |
+
num_people=people.get("number", 0),
|
| 687 |
+
activity_level=people.get("activity_level", "Seated/Resting"),
|
| 688 |
+
hour=hour,
|
| 689 |
+
occupancy_schedule=people.get("occupancy_schedule", None)
|
| 690 |
+
)["latent"]
|
|
|
|
| 691 |
|
| 692 |
+
# Lights loads
|
| 693 |
if lights:
|
| 694 |
+
loads["lights"] = self.calculate_lights_cooling_load(
|
| 695 |
+
power=lights.get("power", 0.0),
|
| 696 |
+
use_factor=lights.get("use_factor", 1.0),
|
| 697 |
+
special_allowance=lights.get("special_allowance", 0.0),
|
| 698 |
+
hour=hour,
|
| 699 |
+
lighting_schedule=lights.get("lighting_schedule", None)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 700 |
)
|
|
|
|
| 701 |
|
| 702 |
+
# Equipment loads
|
| 703 |
if equipment:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 704 |
equipment_loads = self.calculate_equipment_cooling_load(
|
| 705 |
+
power=equipment.get("power", 0.0),
|
| 706 |
+
use_factor=equipment.get("use_factor", 1.0),
|
| 707 |
+
radiation_factor=equipment.get("radiation_factor", 0.7),
|
| 708 |
+
hour=hour,
|
| 709 |
+
equipment_schedule=equipment.get("equipment_schedule", None)
|
| 710 |
)
|
| 711 |
loads["equipment_sensible"] = equipment_loads["sensible"]
|
| 712 |
loads["equipment_latent"] = equipment_loads["latent"]
|
| 713 |
|
| 714 |
+
# Calculate totals
|
| 715 |
+
loads["total_sensible"] = sum([
|
| 716 |
+
loads["walls"], loads["roofs"], loads["floors"],
|
| 717 |
+
loads["windows_conduction"], loads["windows_solar"],
|
| 718 |
+
loads["doors"], loads["infiltration_sensible"],
|
| 719 |
+
loads["ventilation_sensible"], loads["people_sensible"],
|
| 720 |
+
loads["lights"], loads["equipment_sensible"]
|
| 721 |
+
])
|
| 722 |
+
loads["total_latent"] = sum([
|
| 723 |
+
loads["infiltration_latent"], loads["ventilation_latent"],
|
| 724 |
+
loads["people_latent"], loads["equipment_latent"]
|
| 725 |
+
])
|
|
|
|
|
|
|
| 726 |
loads["total"] = loads["total_sensible"] + loads["total_latent"]
|
| 727 |
|
|
|
|
| 728 |
hourly_loads[hour] = loads
|
| 729 |
|
| 730 |
return hourly_loads
|
|
|
|
| 739 |
Returns:
|
| 740 |
Dictionary with design cooling loads
|
| 741 |
"""
|
|
|
|
| 742 |
max_hour = max(hourly_loads.keys(), key=lambda h: hourly_loads[h]["total"])
|
|
|
|
|
|
|
| 743 |
design_loads = hourly_loads[max_hour].copy()
|
|
|
|
|
|
|
| 744 |
design_loads["design_hour"] = max_hour
|
|
|
|
| 745 |
return design_loads
|
| 746 |
|
| 747 |
def calculate_cooling_load_summary(self, design_loads: Dict[str, float]) -> Dict[str, float]:
|
|
|
|
| 754 |
Returns:
|
| 755 |
Dictionary with cooling load summary
|
| 756 |
"""
|
| 757 |
+
envelope_loads = sum([
|
| 758 |
+
design_loads["walls"], design_loads["roofs"], design_loads["floors"],
|
| 759 |
+
design_loads["windows_conduction"], design_loads["windows_solar"],
|
|
|
|
| 760 |
design_loads["doors"]
|
| 761 |
+
])
|
|
|
|
|
|
|
| 762 |
ventilation_loads = design_loads["ventilation_sensible"] + design_loads["ventilation_latent"]
|
| 763 |
infiltration_loads = design_loads["infiltration_sensible"] + design_loads["infiltration_latent"]
|
| 764 |
+
internal_loads = sum([
|
| 765 |
+
design_loads["people_sensible"], design_loads["people_latent"],
|
| 766 |
+
design_loads["lights"], design_loads["equipment_sensible"],
|
| 767 |
+
design_loads["equipment_latent"]
|
| 768 |
+
])
|
|
|
|
|
|
|
|
|
|
| 769 |
shr = design_loads["total_sensible"] / design_loads["total"] if design_loads["total"] > 0 else 1.0
|
| 770 |
|
| 771 |
+
return {
|
|
|
|
| 772 |
"envelope_loads": envelope_loads,
|
| 773 |
"ventilation_loads": ventilation_loads,
|
| 774 |
"infiltration_loads": infiltration_loads,
|
|
|
|
| 779 |
"sensible_heat_ratio": shr,
|
| 780 |
"design_hour": design_loads["design_hour"]
|
| 781 |
}
|
|
|
|
|
|
|
| 782 |
|
| 783 |
|
| 784 |
# Create a singleton instance
|
|
|
|
| 786 |
|
| 787 |
# Example usage
|
| 788 |
if __name__ == "__main__":
|
|
|
|
| 789 |
from data.building_components import Wall, Roof, Window, Door, Orientation, ComponentType
|
| 790 |
|
| 791 |
+
# Sample building components
|
| 792 |
wall = Wall(
|
| 793 |
id="wall1",
|
| 794 |
name="Exterior Wall",
|
|
|
|
| 797 |
area=20.0,
|
| 798 |
orientation=Orientation.SOUTH,
|
| 799 |
wall_type="Brick",
|
| 800 |
+
wall_group="B",
|
| 801 |
+
thermal_mass=100000,
|
| 802 |
+
time_constant=2.0,
|
| 803 |
+
color="Dark"
|
| 804 |
)
|
|
|
|
|
|
|
| 805 |
roof = Roof(
|
| 806 |
id="roof1",
|
| 807 |
name="Flat Roof",
|
|
|
|
| 810 |
area=50.0,
|
| 811 |
orientation=Orientation.HORIZONTAL,
|
| 812 |
roof_type="Concrete",
|
| 813 |
+
roof_group="C",
|
| 814 |
+
thermal_mass=200000,
|
| 815 |
+
time_constant=3.0,
|
| 816 |
+
color="Dark"
|
| 817 |
)
|
|
|
|
|
|
|
| 818 |
window = Window(
|
| 819 |
id="window1",
|
| 820 |
name="South Window",
|
|
|
|
| 827 |
window_type="Double Glazed",
|
| 828 |
glazing_layers=2,
|
| 829 |
gas_fill="Air",
|
| 830 |
+
low_e_coating=False,
|
| 831 |
+
shading_coefficient=1.0
|
| 832 |
)
|
| 833 |
|
|
|
|
| 834 |
building_components = {
|
| 835 |
"walls": [wall],
|
| 836 |
"roofs": [roof],
|
|
|
|
| 845 |
"relative_humidity": 50.0,
|
| 846 |
"ground_temperature": 20.0,
|
| 847 |
"month": "Jul",
|
| 848 |
+
"latitude": "40N",
|
| 849 |
+
"wind_speed": 4.0,
|
| 850 |
+
"day_of_year": 204
|
| 851 |
}
|
|
|
|
| 852 |
indoor_conditions = {
|
| 853 |
"temperature": 24.0,
|
| 854 |
"relative_humidity": 50.0
|
| 855 |
}
|
| 856 |
|
| 857 |
+
# Define internal loads with schedules
|
| 858 |
+
occupancy_schedule = [0.0] * 8 + [1.0] * 8 + [0.5] * 8 # 8h off, 8h full, 8h half
|
| 859 |
+
lighting_schedule = [0.1] * 8 + [0.9] * 8 + [0.5] * 8
|
| 860 |
+
equipment_schedule = [0.2] * 8 + [0.8] * 8 + [0.4] * 8
|
| 861 |
+
|
| 862 |
internal_loads = {
|
| 863 |
"people": {
|
| 864 |
"number": 3,
|
| 865 |
"activity_level": "Seated/Resting",
|
| 866 |
+
"occupancy_schedule": occupancy_schedule
|
| 867 |
},
|
| 868 |
"lights": {
|
| 869 |
"power": 500.0,
|
| 870 |
"use_factor": 0.9,
|
| 871 |
"special_allowance": 0.1,
|
| 872 |
+
"lighting_schedule": lighting_schedule
|
| 873 |
},
|
| 874 |
"equipment": {
|
| 875 |
"power": 1000.0,
|
| 876 |
"use_factor": 0.7,
|
| 877 |
"radiation_factor": 0.7,
|
| 878 |
+
"equipment_schedule": equipment_schedule
|
| 879 |
},
|
| 880 |
"infiltration": {
|
| 881 |
+
"height": 3.0,
|
| 882 |
+
"crack_length": 10.0
|
| 883 |
},
|
| 884 |
"ventilation": {
|
| 885 |
"flow_rate": 0.1
|
| 886 |
}
|
| 887 |
}
|
| 888 |
|
| 889 |
+
# Calculate loads
|
| 890 |
hourly_loads = cooling_load_calculator.calculate_hourly_cooling_loads(
|
| 891 |
building_components=building_components,
|
| 892 |
outdoor_conditions=outdoor_conditions,
|
| 893 |
indoor_conditions=indoor_conditions,
|
| 894 |
+
internal_loads=internal_loads,
|
| 895 |
+
building_volume=300.0
|
| 896 |
)
|
|
|
|
|
|
|
| 897 |
design_loads = cooling_load_calculator.calculate_design_cooling_load(hourly_loads)
|
|
|
|
|
|
|
| 898 |
summary = cooling_load_calculator.calculate_cooling_load_summary(design_loads)
|
| 899 |
|
| 900 |
# Print results
|
| 901 |
print("Cooling Load Summary:")
|
| 902 |
+
for key, value in summary.items():
|
| 903 |
+
if isinstance(value, float):
|
| 904 |
+
print(f"{key.replace('_', ' ').title()}: {value:.2f} W")
|
| 905 |
+
else:
|
| 906 |
+
print(f"{key.replace('_', ' ').title()}: {value}")
|
|
|
|
|
|
|
|
|
|
|
|