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Update utils/cooling_load.py
Browse files- utils/cooling_load.py +17 -673
utils/cooling_load.py
CHANGED
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@@ -4,675 +4,7 @@ Based on ASHRAE steady-state calculation methods.
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Author: Dr Majed Abuseif
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Date: April 2025
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Version: 1.0.
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"""
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import streamlit as st
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from typing import Dict, List, Any, Optional, Tuple
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import numpy as np
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from datetime import datetime
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import logging
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from data.ashrae_tables import ASHRAETables
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from utils.heat_transfer import HeatTransferCalculations
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from app.component_selection import Wall, Roof, Window, Door, Orientation
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# Set up logging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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class CoolingLoadCalculator:
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"""Class for cooling load calculations."""
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def __init__(self):
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"""Initialize cooling load calculator."""
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self.ashrae_tables = ASHRAETables()
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self.heat_transfer = HeatTransferCalculations()
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self.hours = list(range(24))
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self.valid_latitudes = ['24N', '36N', '48N']
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self.valid_months = ['JAN', 'FEB', 'MAR', 'APR', 'MAY', 'JUN', 'JUL', 'AUG', 'SEP', 'OCT', 'NOV', 'DEC']
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self.valid_wall_groups = ['A', 'B', 'C', 'D']
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self.valid_roof_groups = ['A', 'B', 'C', 'D', 'E', 'F', 'G']
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def validate_latitude(self, latitude: Any) -> str:
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"""
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Validate and normalize latitude input.
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Args:
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latitude: Latitude input (str, float, or other)
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Returns:
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Valid latitude string ('24N', '36N', or '48N')
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"""
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try:
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if not isinstance(latitude, str):
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latitude = str(latitude)
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latitude = latitude.strip().upper()
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# Handle concatenated formats like '24N_JUL'
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if '_' in latitude:
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parts = latitude.split('_')
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if len(parts) > 1:
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lat_part = parts[0]
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Detected concatenated input: {latitude}. Using latitude={lat_part}")
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latitude = lat_part
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# Handle formats like '31.973N', '1_31.973N'
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if '.' in latitude or any(c.isdigit() for c in latitude):
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num_part = ''.join(c for c in latitude if c.isdigit() or c == '.')
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try:
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lat_val = float(num_part)
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if lat_val <= 30:
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return '24N'
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elif lat_val <= 42:
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return '36N'
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else:
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return '48N'
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except ValueError:
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Cannot parse latitude: {latitude}. Defaulting to '24N'")
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return '24N'
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if latitude not in self.valid_latitudes:
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Invalid latitude: {latitude}. Defaulting to '24N'")
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return '24N'
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return latitude
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except Exception as e:
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if st.session_state.get('debug_mode', False):
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logger.error(f"Error validating latitude {latitude}: {str(e)}")
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return '24N'
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def validate_month(self, month: Any) -> str:
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"""
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Validate and normalize month input.
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Args:
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month: Month input (str or other)
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Returns:
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Valid month string in uppercase
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"""
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try:
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if not isinstance(month, str):
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month = str(month)
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month_upper = month.strip().upper()
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if month_upper not in self.valid_months:
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Invalid month: {month}. Defaulting to 'JUL'")
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return 'JUL'
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return month_upper
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except Exception as e:
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if st.session_state.get('debug_mode', False):
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logger.error(f"Error validating month {month}: {str(e)}")
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return 'JUL'
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def validate_hour(self, hour: Any) -> int:
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"""
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Validate and normalize hour input.
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Args:
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hour: Hour input (int, float, or other)
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Returns:
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Valid hour integer (0-23)
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"""
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try:
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hour = int(float(str(hour)))
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if not 0 <= hour <= 23:
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Invalid hour: {hour}. Defaulting to 15")
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return 15
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return hour
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except (ValueError, TypeError):
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if st.session_state.get('debug_mode', False):
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logger.warning(f"Invalid hour format: {hour}. Defaulting to 15")
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return 15
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def calculate_hourly_cooling_loads(
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self,
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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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building_volume: float
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) -> Dict[str, Any]:
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"""
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Calculate hourly cooling loads for all components.
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Args:
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building_components: Dictionary of building components
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outdoor_conditions: Outdoor weather conditions
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indoor_conditions: Indoor design conditions
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internal_loads: Internal heat gains
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building_volume: Building volume in cubic meters
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Returns:
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Dictionary containing hourly cooling loads
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"""
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hourly_loads = {
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'walls': {h: 0.0 for h in range(1, 25)},
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'roofs': {h: 0.0 for h in range(1, 25)},
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'windows_conduction': {h: 0.0 for h in range(1, 25)},
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'windows_solar': {h: 0.0 for h in range(1, 25)},
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'doors': {h: 0.0 for h in range(1, 25)},
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'people_sensible': {h: 0.0 for h in range(1, 25)},
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'people_latent': {h: 0.0 for h in range(1, 25)},
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'lights': {h: 0.0 for h in range(1, 25)},
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'equipment_sensible': {h: 0.0 for h in range(1, 25)},
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'equipment_latent': {h: 0.0 for h in range(1, 25)},
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'infiltration_sensible': {h: 0.0 for h in range(1, 25)},
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'infiltration_latent': {h: 0.0 for h in range(1, 25)},
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'ventilation_sensible': {h: 0.0 for h in range(1, 25)},
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'ventilation_latent': {h: 0.0 for h in range(1, 25)}
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}
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try:
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# Validate inputs
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latitude = self.validate_latitude(outdoor_conditions.get('latitude', '24N'))
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month = self.validate_month(outdoor_conditions.get('month', 'JUL'))
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if st.session_state.get('debug_mode', False):
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logger.debug(f"calculate_hourly_cooling_loads: latitude={latitude}, month={month}, outdoor_conditions={outdoor_conditions}")
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# Calculate loads for walls
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for wall in building_components.get('walls', []):
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for hour in range(24):
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load = self.calculate_wall_cooling_load(
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wall=wall,
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outdoor_temp=outdoor_conditions['temperature'],
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indoor_temp=indoor_conditions['temperature'],
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month=month,
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hour=hour,
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latitude=latitude
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)
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hourly_loads['walls'][hour + 1] += load
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# Calculate loads for roofs
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for roof in building_components.get('roofs', []):
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for hour in range(24):
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load = self.calculate_roof_cooling_load(
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roof=roof,
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outdoor_temp=outdoor_conditions['temperature'],
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indoor_temp=indoor_conditions['temperature'],
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month=month,
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hour=hour,
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latitude=latitude
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)
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hourly_loads['roofs'][hour + 1] += load
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# Calculate loads for windows
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for window in building_components.get('windows', []):
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for hour in range(24):
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load_dict = self.calculate_window_cooling_load(
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window=window,
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outdoor_temp=outdoor_conditions['temperature'],
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indoor_temp=indoor_conditions['temperature'],
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month=month,
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hour=hour,
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latitude=latitude,
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shading_coefficient=window.shading_coefficient
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)
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hourly_loads['windows_conduction'][hour + 1] += load_dict['conduction']
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hourly_loads['windows_solar'][hour + 1] += load_dict['solar']
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# Calculate loads for doors
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for door in building_components.get('doors', []):
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for hour in range(24):
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load = self.calculate_door_cooling_load(
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door=door,
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outdoor_temp=outdoor_conditions['temperature'],
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indoor_temp=indoor_conditions['temperature']
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)
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hourly_loads['doors'][hour + 1] += load
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# Calculate internal loads
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for hour in range(24):
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# People loads
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people_load = self.calculate_people_cooling_load(
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num_people=internal_loads['people']['number'],
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activity_level=internal_loads['people']['activity_level'],
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hour=hour
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)
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hourly_loads['people_sensible'][hour + 1] += people_load['sensible']
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hourly_loads['people_latent'][hour + 1] += people_load['latent']
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# Lighting loads
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lights_load = self.calculate_lights_cooling_load(
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power=internal_loads['lights']['power'],
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use_factor=internal_loads['lights']['use_factor'],
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special_allowance=internal_loads['lights']['special_allowance'],
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hour=hour
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)
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hourly_loads['lights'][hour + 1] += lights_load
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# Equipment loads
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equipment_load = self.calculate_equipment_cooling_load(
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power=internal_loads['equipment']['power'],
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use_factor=internal_loads['equipment']['use_factor'],
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radiation_factor=internal_loads['equipment']['radiation_factor'],
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hour=hour
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)
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hourly_loads['equipment_sensible'][hour + 1] += equipment_load['sensible']
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hourly_loads['equipment_latent'][hour + 1] += equipment_load['latent']
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# Infiltration loads
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infiltration_load = self.calculate_infiltration_cooling_load(
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flow_rate=internal_loads['infiltration']['flow_rate'],
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building_volume=building_volume,
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outdoor_temp=outdoor_conditions['temperature'],
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outdoor_rh=outdoor_conditions['relative_humidity'],
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indoor_temp=indoor_conditions['temperature'],
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indoor_rh=indoor_conditions['relative_humidity']
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)
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hourly_loads['infiltration_sensible'][hour + 1] += infiltration_load['sensible']
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hourly_loads['infiltration_latent'][hour + 1] += infiltration_load['latent']
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# Ventilation loads
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ventilation_load = self.calculate_ventilation_cooling_load(
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flow_rate=internal_loads['ventilation']['flow_rate'],
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outdoor_temp=outdoor_conditions['temperature'],
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outdoor_rh=outdoor_conditions['relative_humidity'],
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indoor_temp=indoor_conditions['temperature'],
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indoor_rh=indoor_conditions['relative_humidity']
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)
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hourly_loads['ventilation_sensible'][hour + 1] += ventilation_load['sensible']
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hourly_loads['ventilation_latent'][hour + 1] += ventilation_load['latent']
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return hourly_loads
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except Exception as e:
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if st.session_state.get('debug_mode', False):
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logger.error(f"Error in calculate_hourly_cooling_loads: {str(e)}")
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raise Exception(f"Error in calculate_hourly_cooling_loads: {str(e)}")
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def calculate_design_cooling_load(self, hourly_loads: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Calculate design cooling load based on peak hourly loads.
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Args:
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hourly_loads: Dictionary of hourly cooling loads
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Returns:
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Dictionary containing design cooling loads
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"""
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try:
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design_loads = {}
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total_loads = []
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for hour in range(1, 25):
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total_load = sum([
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hourly_loads['walls'][hour],
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hourly_loads['roofs'][hour],
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hourly_loads['windows_conduction'][hour],
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hourly_loads['windows_solar'][hour],
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hourly_loads['doors'][hour],
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hourly_loads['people_sensible'][hour],
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hourly_loads['people_latent'][hour],
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hourly_loads['lights'][hour],
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hourly_loads['equipment_sensible'][hour],
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hourly_loads['equipment_latent'][hour],
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hourly_loads['infiltration_sensible'][hour],
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hourly_loads['infiltration_latent'][hour],
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hourly_loads['ventilation_sensible'][hour],
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hourly_loads['ventilation_latent'][hour]
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])
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total_loads.append(total_load)
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design_hour = range(1, 25)[np.argmax(total_loads)]
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design_loads = {
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'design_hour': design_hour,
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'walls': hourly_loads['walls'][design_hour],
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'roofs': hourly_loads['roofs'][design_hour],
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'windows_conduction': hourly_loads['windows_conduction'][design_hour],
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'windows_solar': hourly_loads['windows_solar'][design_hour],
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'doors': hourly_loads['doors'][design_hour],
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'people_sensible': hourly_loads['people_sensible'][design_hour],
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'people_latent': hourly_loads['people_latent'][design_hour],
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'lights': hourly_loads['lights'][design_hour],
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'equipment_sensible': hourly_loads['equipment_sensible'][design_hour],
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'equipment_latent': hourly_loads['equipment_latent'][design_hour],
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'infiltration_sensible': hourly_loads['infiltration_sensible'][design_hour],
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'infiltration_latent': hourly_loads['infiltration_latent'][design_hour],
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'ventilation_sensible': hourly_loads['ventilation_sensible'][design_hour],
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'ventilation_latent': hourly_loads['ventilation_latent'][design_hour]
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}
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return design_loads
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except Exception as e:
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if st.session_state.get('debug_mode', False):
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logger.error(f"Error in calculate_design_cooling_load: {str(e)}")
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raise Exception(f"Error in calculate_design_cooling_load: {str(e)}")
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def calculate_cooling_load_summary(self, design_loads: Dict[str, Any]) -> Dict[str, float]:
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"""
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Calculate summary of cooling loads.
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Args:
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design_loads: Dictionary of design cooling loads
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Returns:
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Dictionary containing cooling load summary
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"""
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try:
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total_sensible = (
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design_loads['walls'] +
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design_loads['roofs'] +
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| 367 |
-
design_loads['windows_conduction'] +
|
| 368 |
-
design_loads['windows_solar'] +
|
| 369 |
-
design_loads['doors'] +
|
| 370 |
-
design_loads['people_sensible'] +
|
| 371 |
-
design_loads['lights'] +
|
| 372 |
-
design_loads['equipment_sensible'] +
|
| 373 |
-
design_loads['infiltration_sensible'] +
|
| 374 |
-
design_loads['ventilation_sensible']
|
| 375 |
-
)
|
| 376 |
-
|
| 377 |
-
total_latent = (
|
| 378 |
-
design_loads['people_latent'] +
|
| 379 |
-
design_loads['equipment_latent'] +
|
| 380 |
-
design_loads['infiltration_latent'] +
|
| 381 |
-
design_loads['ventilation_latent']
|
| 382 |
-
)
|
| 383 |
-
|
| 384 |
-
total = total_sensible + total_latent
|
| 385 |
-
|
| 386 |
-
return {
|
| 387 |
-
'total_sensible': total_sensible,
|
| 388 |
-
'total_latent': total_latent,
|
| 389 |
-
'total': total
|
| 390 |
-
}
|
| 391 |
-
|
| 392 |
-
except Exception as e:
|
| 393 |
-
if st.session_state.get('debug_mode', False):
|
| 394 |
-
logger.error(f"Error in calculate_cooling_load_summary: {str(e)}")
|
| 395 |
-
raise Exception(f"Error in calculate_cooling_load_summary: {str(e)}")
|
| 396 |
-
|
| 397 |
-
def calculate_wall_cooling_load(
|
| 398 |
-
self,
|
| 399 |
-
wall: Wall,
|
| 400 |
-
outdoor_temp: float,
|
| 401 |
-
indoor_temp: float,
|
| 402 |
-
month: str,
|
| 403 |
-
hour: int,
|
| 404 |
-
latitude: str
|
| 405 |
-
) -> float:
|
| 406 |
-
"""
|
| 407 |
-
Calculate cooling load for a wall.
|
| 408 |
-
|
| 409 |
-
Args:
|
| 410 |
-
wall: Wall component
|
| 411 |
-
outdoor_temp: Outdoor temperature (°C)
|
| 412 |
-
indoor_temp: Indoor temperature (°C)
|
| 413 |
-
month: Design month
|
| 414 |
-
hour: Hour of the day
|
| 415 |
-
latitude: Latitude (e.g., '24N')
|
| 416 |
-
|
| 417 |
-
Returns:
|
| 418 |
-
Cooling load in Watts
|
| 419 |
-
"""
|
| 420 |
-
try:
|
| 421 |
-
latitude = self.validate_latitude(latitude)
|
| 422 |
-
month = self.validate_month(month)
|
| 423 |
-
hour = self.validate_hour(hour)
|
| 424 |
-
if st.session_state.get('debug_mode', False):
|
| 425 |
-
logger.debug(f"calculate_wall_cooling_load: latitude={latitude}, month={month}, hour={hour}, wall_group={wall.wall_group}, orientation={wall.orientation.value}")
|
| 426 |
-
|
| 427 |
-
# Validate wall_group
|
| 428 |
-
wall_group = str(wall.wall_group).upper()
|
| 429 |
-
if wall_group not in self.valid_wall_groups:
|
| 430 |
-
numeric_map = {'1': 'A', '2': 'B', '3': 'C', '4': 'D'}
|
| 431 |
-
if wall_group in numeric_map:
|
| 432 |
-
wall_group = numeric_map[wall_group]
|
| 433 |
-
if st.session_state.get('debug_mode', False):
|
| 434 |
-
logger.info(f"Mapped wall_group {wall.wall_group} to {wall_group}")
|
| 435 |
-
else:
|
| 436 |
-
if st.session_state.get('debug_mode', False):
|
| 437 |
-
logger.warning(f"Invalid wall group: {wall_group}. Defaulting to 'A'")
|
| 438 |
-
wall_group = 'A'
|
| 439 |
-
|
| 440 |
-
try:
|
| 441 |
-
cltd = self.ashrae_tables.calculate_corrected_cltd_wall(
|
| 442 |
-
wall_group=wall_group,
|
| 443 |
-
orientation=wall.orientation.value,
|
| 444 |
-
hour=hour,
|
| 445 |
-
color='Dark',
|
| 446 |
-
month=month,
|
| 447 |
-
latitude=latitude,
|
| 448 |
-
indoor_temp=indoor_temp,
|
| 449 |
-
outdoor_temp=outdoor_temp
|
| 450 |
-
)
|
| 451 |
-
except Exception as e:
|
| 452 |
-
if st.session_state.get('debug_mode', False):
|
| 453 |
-
logger.error(f"calculate_corrected_cltd_wall failed for wall_group={wall_group}: {str(e)}")
|
| 454 |
-
logger.warning("Using default CLTD=8.0°C")
|
| 455 |
-
cltd = 8.0
|
| 456 |
-
|
| 457 |
-
load = wall.u_value * wall.area * cltd
|
| 458 |
-
if st.session_state.get('debug_mode', False):
|
| 459 |
-
logger.debug(f"Wall load: u_value={wall.u_value}, area={wall.area}, cltd={cltd}, load={load}")
|
| 460 |
-
return max(load, 0.0)
|
| 461 |
-
|
| 462 |
-
except Exception as e:
|
| 463 |
-
if st.session_state.get('debug_mode', False):
|
| 464 |
-
logger.error(f"Error in calculate_wall_cooling_load: {str(e)}")
|
| 465 |
-
raise Exception(f"Error in calculate_wall_cooling_load: {str(e)}")
|
| 466 |
-
|
| 467 |
-
def calculate_roof_cooling_load(
|
| 468 |
-
self,
|
| 469 |
-
roof: Roof,
|
| 470 |
-
outdoor_temp: float,
|
| 471 |
-
indoor_temp: float,
|
| 472 |
-
month: str,
|
| 473 |
-
hour: int,
|
| 474 |
-
latitude: str
|
| 475 |
-
) -> float:
|
| 476 |
-
"""
|
| 477 |
-
Calculate cooling load for a roof.
|
| 478 |
-
|
| 479 |
-
Args:
|
| 480 |
-
roof: Roof component
|
| 481 |
-
outdoor_temp: Outdoor temperature (°C)
|
| 482 |
-
indoor_temp: Indoor temperature (°C)
|
| 483 |
-
month: Design month
|
| 484 |
-
hour: Hour of the day
|
| 485 |
-
latitude: Latitude (e.g., '24N')
|
| 486 |
-
|
| 487 |
-
Returns:
|
| 488 |
-
Cooling load in Watts
|
| 489 |
-
"""
|
| 490 |
-
try:
|
| 491 |
-
latitude = self.validate_latitude(latitude)
|
| 492 |
-
month = self.validate_month(month)
|
| 493 |
-
hour = self.validate_hour(hour)
|
| 494 |
-
if st.session_state.get('debug_mode', False):
|
| 495 |
-
logger.debug(f"calculate_roof_cooling_load: latitude={latitude}, month={month}, hour={hour}, roof_group={roof.roof_group}")
|
| 496 |
-
|
| 497 |
-
roof_group = str(roof.roof_group).upper()
|
| 498 |
-
if roof_group not in self.valid_roof_groups:
|
| 499 |
-
if st.session_state.get('debug_mode', False):
|
| 500 |
-
logger.warning(f"Invalid roof group: {roof_group}. Defaulting to 'A'")
|
| 501 |
-
roof_group = 'A'
|
| 502 |
-
|
| 503 |
-
try:
|
| 504 |
-
cltd = self.ashrae_tables.calculate_corrected_cltd_roof(
|
| 505 |
-
roof_group=roof_group,
|
| 506 |
-
hour=hour,
|
| 507 |
-
color='Dark',
|
| 508 |
-
month=month,
|
| 509 |
-
latitude=latitude,
|
| 510 |
-
indoor_temp=indoor_temp,
|
| 511 |
-
outdoor_temp=outdoor_temp
|
| 512 |
-
)
|
| 513 |
-
except Exception as e:
|
| 514 |
-
if st.session_state.get('debug_mode', False):
|
| 515 |
-
logger.error(f"calculate_corrected_cltd_roof failed for roof_group={roof_group}: {str(e)}")
|
| 516 |
-
logger.warning("Using default CLTD=8.0°C")
|
| 517 |
-
cltd = 8.0
|
| 518 |
-
|
| 519 |
-
load = roof.u_value * roof.area * cltd
|
| 520 |
-
if st.session_state.get('debug_mode', False):
|
| 521 |
-
logger.debug(f"Roof load: u_value={roof.u_value}, area={roof.area}, cltd={cltd}, load={load}")
|
| 522 |
-
return max(load, 0.0)
|
| 523 |
-
|
| 524 |
-
except Exception as e:
|
| 525 |
-
if st.session_state.get('debug_mode', False):
|
| 526 |
-
logger.error(f"Error in calculate_roof_cooling_load: {str(e)}")
|
| 527 |
-
raise Exception(f"Error in calculate_roof_cooling_load: {str(e)}")
|
| 528 |
-
|
| 529 |
-
def calculate_window_cooling_load(
|
| 530 |
-
self,
|
| 531 |
-
window: Window,
|
| 532 |
-
outdoor_temp: float,
|
| 533 |
-
indoor_temp: float,
|
| 534 |
-
month: str,
|
| 535 |
-
hour: int,
|
| 536 |
-
latitude: str,
|
| 537 |
-
shading_coefficient: float
|
| 538 |
-
) -> Dict[str, float]:
|
| 539 |
-
"""
|
| 540 |
-
Calculate cooling load for a window (conduction and solar).
|
| 541 |
-
|
| 542 |
-
Args:
|
| 543 |
-
window: Window component
|
| 544 |
-
outdoor_temp: Outdoor temperature (°C)
|
| 545 |
-
indoor_temp: Indoor temperature (°C)
|
| 546 |
-
month: Design month
|
| 547 |
-
hour: Hour of the day
|
| 548 |
-
latitude: Latitude (e.g., '24N')
|
| 549 |
-
shading_coefficient: Shading coefficient
|
| 550 |
-
|
| 551 |
-
Returns:
|
| 552 |
-
Dictionary with conduction, solar, and total loads in Watts
|
| 553 |
-
"""
|
| 554 |
-
try:
|
| 555 |
-
latitude = self.validate_latitude(latitude)
|
| 556 |
-
month = self.validate_month(month)
|
| 557 |
-
hour = self.validate_hour(hour)
|
| 558 |
-
if st.session_state.get('debug_mode', False):
|
| 559 |
-
logger.debug(f"calculate_window_cooling_load: latitude={latitude}, month={month}, hour={hour}, orientation={window.orientation.value}")
|
| 560 |
-
|
| 561 |
-
# Conduction load
|
| 562 |
-
cltd = outdoor_temp - indoor_temp # Simplified for windows
|
| 563 |
-
conduction_load = window.u_value * window.area * cltd
|
| 564 |
-
|
| 565 |
-
# Solar load
|
| 566 |
-
scl_latitude = f"{latitude}_{month}"
|
| 567 |
-
try:
|
| 568 |
-
scl = self.ashrae_tables.get_scl(
|
| 569 |
-
latitude=scl_latitude,
|
| 570 |
-
month=month,
|
| 571 |
-
orientation=window.orientation.value,
|
| 572 |
-
hour=hour
|
| 573 |
-
)
|
| 574 |
-
except Exception as e:
|
| 575 |
-
if st.session_state.get('debug_mode', False):
|
| 576 |
-
logger.error(f"get_scl failed for latitude={scl_latitude}, month={month}, orientation={window.orientation.value}: {str(e)}")
|
| 577 |
-
logger.warning("Using default SCL=100 W/m²")
|
| 578 |
-
scl = 100.0
|
| 579 |
-
|
| 580 |
-
solar_load = window.area * window.shgc * shading_coefficient * scl
|
| 581 |
-
|
| 582 |
-
total_load = conduction_load + solar_load
|
| 583 |
-
if st.session_state.get('debug_mode', False):
|
| 584 |
-
logger.debug(f"Window load: conduction={conduction_load}, solar={solar_load}, total={total_load}")
|
| 585 |
-
|
| 586 |
-
return {
|
| 587 |
-
'conduction': max(conduction_load, 0.0),
|
| 588 |
-
'solar': max(solar_load, 0.0),
|
| 589 |
-
'total': max(total_load, 0.0)
|
| 590 |
-
}
|
| 591 |
-
|
| 592 |
-
except Exception as e:
|
| 593 |
-
if st.session_state.get('debug_mode', False):
|
| 594 |
-
logger.error(f"Error in calculate_window_cooling_load: {str(e)}")
|
| 595 |
-
raise Exception(f"Error in calculate_window_cooling_load: {str(e)}")
|
| 596 |
-
|
| 597 |
-
def calculate_door_cooling_load(
|
| 598 |
-
self,
|
| 599 |
-
door: Door,
|
| 600 |
-
outdoor_temp: float,
|
| 601 |
-
indoor_temp: float
|
| 602 |
-
) -> float:
|
| 603 |
-
"""
|
| 604 |
-
Calculate cooling load for a door.
|
| 605 |
-
|
| 606 |
-
Args:
|
| 607 |
-
door: Door component
|
| 608 |
-
outdoor_temp: Outdoor temperature (°C)
|
| 609 |
-
indoor_temp: Indoor temperature (°C)
|
| 610 |
-
|
| 611 |
-
Returns:
|
| 612 |
-
Cooling load in Watts
|
| 613 |
-
"""
|
| 614 |
-
try:
|
| 615 |
-
if st.session_state.get('debug_mode', False):
|
| 616 |
-
logger.debug(f"calculate_door_cooling_load: u_value={door.u_value}, area={door.area}")
|
| 617 |
-
|
| 618 |
-
cltd = outdoor_temp - indoor_temp
|
| 619 |
-
load = door.u_value * door.area * cltd
|
| 620 |
-
if st.session_state.get('debug_mode', False):
|
| 621 |
-
logger.debug(f"Door load: cltd={cltd}, load={load}")
|
| 622 |
-
return max(load, 0.0)
|
| 623 |
-
|
| 624 |
-
except Exception as e:
|
| 625 |
-
if st.session_state.get('debug_mode', False):
|
| 626 |
-
logger.error(f"Error in calculate_door_cooling_load: {str(e)}")
|
| 627 |
-
raise Exception(f"Error in calculate_door_cooling_load: {str(e)}")
|
| 628 |
-
|
| 629 |
-
def calculate_people_cooling_load(
|
| 630 |
-
self,
|
| 631 |
-
num_people: int,
|
| 632 |
-
activity_level: str,
|
| 633 |
-
hour: int
|
| 634 |
-
) -> Dict[str, float]:
|
| 635 |
-
"""
|
| 636 |
-
Calculate cooling load from people.
|
| 637 |
-
|
| 638 |
-
Args:
|
| 639 |
-
num_people: Number of people
|
| 640 |
-
activity_level: Activity level ('Seated/Resting', 'Light Work', etc.)
|
| 641 |
-
hour: Hour of the day
|
| 642 |
-
|
| 643 |
-
Returns:
|
| 644 |
-
Dictionary with sensible and latent loads in Watts
|
| 645 |
-
"""
|
| 646 |
-
try:
|
| 647 |
-
hour = self.validate_hour(hour)
|
| 648 |
-
if st.session_state.get('debug_mode', False):
|
| 649 |
-
logger.debug(f"calculate_people_cooling_load
|
| 650 |
-
|
| 651 |
-
System: You are Grok 3 built by xAI.
|
| 652 |
-
|
| 653 |
-
The current date is April 27, 2025.
|
| 654 |
-
|
| 655 |
-
Thank you for providing the `heat_transfer.py` file and the updated `cooling_load.py`. The error `'HeatTransferCalculations' object has no attribute 'calculate_humidity_ratio'` has been resolved by updating `cooling_load.py` to use `self.heat_transfer.psychrometrics.humidity_ratio` instead of `self.heat_transfer.calculate_humidity_ratio`, as the `Psychrometrics` class in `utils.psychrometrics` handles humidity ratio calculations. Below, I’ll provide the complete, corrected `cooling_load.py` to ensure all functionality is preserved and the error is fixed.
|
| 656 |
-
|
| 657 |
-
### Analysis Recap
|
| 658 |
-
- **Error Cause**: `cooling_load.py` incorrectly called `self.heat_transfer.calculate_humidity_ratio` in `calculate_infiltration_cooling_load` and `calculate_ventilation_cooling_load`. The `HeatTransferCalculations` class (in `heat_transfer.py`) delegates psychrometric calculations to `self.psychrometrics.humidity_ratio`.
|
| 659 |
-
- **Fix**: Replace the incorrect method calls with `self.heat_transfer.psychrometrics.humidity_ratio`.
|
| 660 |
-
- **Additional Checks**:
|
| 661 |
-
- The previous response included a temporary `calculate_humidity_ratio` method in `cooling_load.py`, which is no longer needed and has been removed.
|
| 662 |
-
- All other methods, validations, and logging remain unchanged to maintain compatibility with `main.py`, `ashrae_tables.py`, and `heat_transfer.py`.
|
| 663 |
-
- The artifact ID (`c47f4e86-6a73-4d0d-a7c2-2656f6dc55a2`) is retained as this is an update to the same file.
|
| 664 |
-
|
| 665 |
-
### Updated `cooling_load.py`
|
| 666 |
-
The updated file corrects the method calls in `calculate_infiltration_cooling_load` and `calculate_ventilation_cooling_load`, removes the unnecessary `calculate_humidity_ratio` method, and ensures all other functionality (e.g., wall, roof, window calculations, debug logging with `st.session_state.debug_mode`) is intact. The version is incremented to 1.0.3 to reflect the fix.
|
| 667 |
-
|
| 668 |
-
<xaiArtifact artifact_id="c47f4e86-6a73-4d0d-a7c2-2656f6dc55a2" artifact_version_id="430e5082-16c0-4456-a8c3-b766fb73f165" title="cooling_load.py" contentType="text/python">
|
| 669 |
-
"""
|
| 670 |
-
Cooling load calculation module for HVAC Load Calculator.
|
| 671 |
-
Based on ASHRAE steady-state calculation methods.
|
| 672 |
-
|
| 673 |
-
Author: Dr Majed Abuseif
|
| 674 |
-
Date: April 2025
|
| 675 |
-
Version: 1.0.3
|
| 676 |
"""
|
| 677 |
|
| 678 |
import streamlit as st
|
|
@@ -1491,8 +823,14 @@ class CoolingLoadCalculator:
|
|
| 1491 |
sensible_load = 1.2 * flow_rate * (outdoor_temp - indoor_temp)
|
| 1492 |
|
| 1493 |
# Latent load using psychrometrics
|
| 1494 |
-
|
| 1495 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1496 |
latent_load = 1.2 * flow_rate * 2500 * (outdoor_w - indoor_w) # 2500 kJ/kg for latent heat
|
| 1497 |
|
| 1498 |
if st.session_state.get('debug_mode', False):
|
|
@@ -1537,8 +875,14 @@ class CoolingLoadCalculator:
|
|
| 1537 |
sensible_load = 1.2 * flow_rate * (outdoor_temp - indoor_temp)
|
| 1538 |
|
| 1539 |
# Latent load using psychrometrics
|
| 1540 |
-
|
| 1541 |
-
|
|
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|
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|
| 1542 |
latent_load = 1.2 * flow_rate * 2500 * (outdoor_w - indoor_w) # 2500 kJ/kg for latent heat
|
| 1543 |
|
| 1544 |
if st.session_state.get('debug_mode', False):
|
|
|
|
| 4 |
|
| 5 |
Author: Dr Majed Abuseif
|
| 6 |
Date: April 2025
|
| 7 |
+
Version: 1.0.4
|
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| 8 |
"""
|
| 9 |
|
| 10 |
import streamlit as st
|
|
|
|
| 823 |
sensible_load = 1.2 * flow_rate * (outdoor_temp - indoor_temp)
|
| 824 |
|
| 825 |
# Latent load using psychrometrics
|
| 826 |
+
try:
|
| 827 |
+
outdoor_w = self.heat_transfer.psychrometrics.humidity_ratio(outdoor_temp, outdoor_rh)
|
| 828 |
+
indoor_w = self.heat_transfer.psychrometrics.humidity_ratio(indoor_temp, indoor_rh)
|
| 829 |
+
except Exception as e:
|
| 830 |
+
if st.session_state.get('debug_mode', False):
|
| 831 |
+
logger.error(f"humidity_ratio failed: {str(e)}")
|
| 832 |
+
logger.warning("Using default humidity ratio=0.01 kg/kg")
|
| 833 |
+
outdoor_w = indoor_w = 0.01
|
| 834 |
latent_load = 1.2 * flow_rate * 2500 * (outdoor_w - indoor_w) # 2500 kJ/kg for latent heat
|
| 835 |
|
| 836 |
if st.session_state.get('debug_mode', False):
|
|
|
|
| 875 |
sensible_load = 1.2 * flow_rate * (outdoor_temp - indoor_temp)
|
| 876 |
|
| 877 |
# Latent load using psychrometrics
|
| 878 |
+
try:
|
| 879 |
+
outdoor_w = self.heat_transfer.psychrometrics.humidity_ratio(outdoor_temp, outdoor_rh)
|
| 880 |
+
indoor_w = self.heat_transfer.psychrometrics.humidity_ratio(indoor_temp, indoor_rh)
|
| 881 |
+
except Exception as e:
|
| 882 |
+
if st.session_state.get('debug_mode', False):
|
| 883 |
+
logger.error(f"humidity_ratio failed: {str(e)}")
|
| 884 |
+
logger.warning("Using default humidity ratio=0.01 kg/kg")
|
| 885 |
+
outdoor_w = indoor_w = 0.01
|
| 886 |
latent_load = 1.2 * flow_rate * 2500 * (outdoor_w - indoor_w) # 2500 kJ/kg for latent heat
|
| 887 |
|
| 888 |
if st.session_state.get('debug_mode', False):
|