Create Drapery.py

Drapery.py

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+"""
+Enhanced Drapery module for HVAC Load Calculator with comprehensive CLTD implementation and SCL integration.
+This module provides classes and functions for handling drapery properties
+and calculating their effects on window heat transfer using detailed ASHRAE CLTD/SCL methods.
+
+Includes comprehensive CLTD tables for windows (SingleClear, DoubleTinted, LowE, Reflective)
+at multiple latitudes (24°N, 40°N, 48°N) and all orientations, as well as detailed
+climatic corrections and door CLTD calculations.
+
+Enhanced to map UI shading coefficients to drapery properties (openness, color, fullness)
+and apply conduction reduction (5-15%) based on openness per ASHRAE guidelines.
+"""
+
+from typing import Dict, Any, Optional, Tuple, List, Union
+from enum import Enum
+import math
+import pandas as pd
+from data.ashrae_tables import ASHRAETables
+
+
+class DraperyOpenness(Enum):
+    """Enum for drapery openness classification."""
+    OPEN = "Open (>25%)"
+    SEMI_OPEN = "Semi-open (7-25%)"
+    CLOSED = "Closed (0-7%)"
+
+
+class DraperyColor(Enum):
+    """Enum for drapery color/reflectance classification."""
+    DARK = "Dark (0-25%)"
+    MEDIUM = "Medium (25-50%)"
+    LIGHT = "Light (>50%)"
+
+
+class GlazingType(Enum):
+    """Enum for glazing types."""
+    SINGLE_CLEAR = "Single Clear"
+    SINGLE_TINTED = "Single Tinted"
+    DOUBLE_CLEAR = "Double Clear"
+    DOUBLE_TINTED = "Double Tinted"
+    LOW_E = "Low-E"
+    REFLECTIVE = "Reflective"
+
+
+class FrameType(Enum):
+    """Enum for window frame types."""
+    ALUMINUM = "Aluminum without Thermal Break"
+    ALUMINUM_THERMAL_BREAK = "Aluminum with Thermal Break"
+    VINYL = "Vinyl/Fiberglass"
+    WOOD = "Wood/Vinyl-Clad Wood"
+    INSULATED = "Insulated"
+
+
+class SurfaceColor(Enum):
+    """Enum for surface color classification."""
+    DARK = "Dark"
+    MEDIUM = "Medium"
+    LIGHT = "Light"
+
+
+class Latitude(Enum):
+    """Enum for latitude ranges."""
+    LAT_24N = "24N"
+    LAT_40N = "40N"
+    LAT_48N = "48N"
+
+
+# U-Factors for various fenestration products (Table 9-1) in SI units (W/m²K)
+# Format: {(glazing_type, frame_type): u_factor}
+WINDOW_U_FACTORS = {
+    # Single Clear Glass
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM): 7.22,
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 6.14,
+    (GlazingType.SINGLE_CLEAR, FrameType.VINYL): 5.11,
+    (GlazingType.SINGLE_CLEAR, FrameType.WOOD): 5.06,
+    (GlazingType.SINGLE_CLEAR, FrameType.INSULATED): 4.60,
+    
+    # Single Tinted Glass
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM): 7.22,
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 6.14,
+    (GlazingType.SINGLE_TINTED, FrameType.VINYL): 5.11,
+    (GlazingType.SINGLE_TINTED, FrameType.WOOD): 5.06,
+    (GlazingType.SINGLE_TINTED, FrameType.INSULATED): 4.60,
+    
+    # Double Clear Glass
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM): 4.60,
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 3.41,
+    (GlazingType.DOUBLE_CLEAR, FrameType.VINYL): 3.01,
+    (GlazingType.DOUBLE_CLEAR, FrameType.WOOD): 2.90,
+    (GlazingType.DOUBLE_CLEAR, FrameType.INSULATED): 2.50,
+    
+    # Double Tinted Glass
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM): 4.60,
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 3.41,
+    (GlazingType.DOUBLE_TINTED, FrameType.VINYL): 3.01,
+    (GlazingType.DOUBLE_TINTED, FrameType.WOOD): 2.90,
+    (GlazingType.DOUBLE_TINTED, FrameType.INSULATED): 2.50,
+    
+    # Low-E Glass
+    (GlazingType.LOW_E, FrameType.ALUMINUM): 3.41,
+    (GlazingType.LOW_E, FrameType.ALUMINUM_THERMAL_BREAK): 2.67,
+    (GlazingType.LOW_E, FrameType.VINYL): 2.33,
+    (GlazingType.LOW_E, FrameType.WOOD): 2.22,
+    (GlazingType.LOW_E, FrameType.INSULATED): 1.87,
+    
+    # Reflective Glass
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM): 3.41,
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM_THERMAL_BREAK): 2.67,
+    (GlazingType.REFLECTIVE, FrameType.VINYL): 2.33,
+    (GlazingType.REFLECTIVE, FrameType.WOOD): 2.22,
+    (GlazingType.REFLECTIVE, FrameType.INSULATED): 1.87,
+}
+
+# SHGC values for various glazing types (Table 9-3)
+# Format: {(glazing_type, frame_type): shgc}
+WINDOW_SHGC = {
+    # Single Clear Glass
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM): 0.78,
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 0.75,
+    (GlazingType.SINGLE_CLEAR, FrameType.VINYL): 0.67,
+    (GlazingType.SINGLE_CLEAR, FrameType.WOOD): 0.65,
+    (GlazingType.SINGLE_CLEAR, FrameType.INSULATED): 0.63,
+    
+    # Single Tinted Glass
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM): 0.65,
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 0.62,
+    (GlazingType.SINGLE_TINTED, FrameType.VINYL): 0.55,
+    (GlazingType.SINGLE_TINTED, FrameType.WOOD): 0.53,
+    (GlazingType.SINGLE_TINTED, FrameType.INSULATED): 0.52,
+    
+    # Double Clear Glass
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM): 0.65,
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 0.61,
+    (GlazingType.DOUBLE_CLEAR, FrameType.VINYL): 0.53,
+    (GlazingType.DOUBLE_CLEAR, FrameType.WOOD): 0.51,
+    (GlazingType.DOUBLE_CLEAR, FrameType.INSULATED): 0.49,
+    
+    # Double Tinted Glass
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM): 0.53,
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 0.50,
+    (GlazingType.DOUBLE_TINTED, FrameType.VINYL): 0.42,
+    (GlazingType.DOUBLE_TINTED, FrameType.WOOD): 0.40,
+    (GlazingType.DOUBLE_TINTED, FrameType.INSULATED): 0.38,
+    
+    # Low-E Glass
+    (GlazingType.LOW_E, FrameType.ALUMINUM): 0.46,
+    (GlazingType.LOW_E, FrameType.ALUMINUM_THERMAL_BREAK): 0.44,
+    (GlazingType.LOW_E, FrameType.VINYL): 0.38,
+    (GlazingType.LOW_E, FrameType.WOOD): 0.36,
+    (GlazingType.LOW_E, FrameType.INSULATED): 0.34,
+    
+    # Reflective Glass
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM): 0.33,
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM_THERMAL_BREAK): 0.31,
+    (GlazingType.REFLECTIVE, FrameType.VINYL): 0.27,
+    (GlazingType.REFLECTIVE, FrameType.WOOD): 0.25,
+    (GlazingType.REFLECTIVE, FrameType.INSULATED): 0.24,
+}
+
+# Door U-Factors in SI units (W/m²K)
+# Format: {door_type: u_factor}
+DOOR_U_FACTORS = {
+    "WoodSolid": 3.35,  # Approximated from Group D walls
+    "MetalInsulated": 2.61,  # Approximated from Group F walls
+    "GlassDoor": 7.22,  # Same as single clear glass with aluminum frame
+    "InsulatedMetal": 2.15,  # Insulated metal door
+    "InsulatedWood": 1.93,  # Insulated wood door
+    "Custom": 3.00,  # Default for custom doors
+}
+
+# Skylight U-Factors in SI units (W/m²K)
+# Format: {(glazing_type, frame_type): u_factor}
+SKYLIGHT_U_FACTORS = {
+    # Single Clear Glass
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM): 7.79,
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 6.71,
+    (GlazingType.SINGLE_CLEAR, FrameType.VINYL): 5.68,
+    (GlazingType.SINGLE_CLEAR, FrameType.WOOD): 5.63,
+    (GlazingType.SINGLE_CLEAR, FrameType.INSULATED): 5.17,
+    
+    # Single Tinted Glass
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM): 7.79,
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 6.71,
+    (GlazingType.SINGLE_TINTED, FrameType.VINYL): 5.68,
+    (GlazingType.SINGLE_TINTED, FrameType.WOOD): 5.63,
+    (GlazingType.SINGLE_TINTED, FrameType.INSULATED): 5.17,
+    
+    # Double Clear Glass
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM): 5.17,
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 3.98,
+    (GlazingType.DOUBLE_CLEAR, FrameType.VINYL): 3.58,
+    (GlazingType.DOUBLE_CLEAR, FrameType.WOOD): 3.47,
+    (GlazingType.DOUBLE_CLEAR, FrameType.INSULATED): 3.07,
+    
+    # Double Tinted Glass
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM): 5.17,
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 3.98,
+    (GlazingType.DOUBLE_TINTED, FrameType.VINYL): 3.58,
+    (GlazingType.DOUBLE_TINTED, FrameType.WOOD): 3.47,
+    (GlazingType.DOUBLE_TINTED, FrameType.INSULATED): 3.07,
+    
+    # Low-E Glass
+    (GlazingType.LOW_E, FrameType.ALUMINUM): 3.98,
+    (GlazingType.LOW_E, FrameType.ALUMINUM_THERMAL_BREAK): 3.24,
+    (GlazingType.LOW_E, FrameType.VINYL): 2.90,
+    (GlazingType.LOW_E, FrameType.WOOD): 2.78,
+    (GlazingType.LOW_E, FrameType.INSULATED): 2.44,
+    
+    # Reflective Glass
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM): 3.98,
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM_THERMAL_BREAK): 3.24,
+    (GlazingType.REFLECTIVE, FrameType.VINYL): 2.90,
+    (GlazingType.REFLECTIVE, FrameType.WOOD): 2.78,
+    (GlazingType.REFLECTIVE, FrameType.INSULATED): 2.44,
+}
+
+# Skylight SHGC values
+# Format: {(glazing_type, frame_type): shgc}
+SKYLIGHT_SHGC = {
+    # Single Clear Glass
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM): 0.83,
+    (GlazingType.SINGLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 0.80,
+    (GlazingType.SINGLE_CLEAR, FrameType.VINYL): 0.72,
+    (GlazingType.SINGLE_CLEAR, FrameType.WOOD): 0.70,
+    (GlazingType.SINGLE_CLEAR, FrameType.INSULATED): 0.68,
+    
+    # Single Tinted Glass
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM): 0.70,
+    (GlazingType.SINGLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 0.67,
+    (GlazingType.SINGLE_TINTED, FrameType.VINYL): 0.60,
+    (GlazingType.SINGLE_TINTED, FrameType.WOOD): 0.58,
+    (GlazingType.SINGLE_TINTED, FrameType.INSULATED): 0.57,
+    
+    # Double Clear Glass
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM): 0.70,
+    (GlazingType.DOUBLE_CLEAR, FrameType.ALUMINUM_THERMAL_BREAK): 0.66,
+    (GlazingType.DOUBLE_CLEAR, FrameType.VINYL): 0.58,
+    (GlazingType.DOUBLE_CLEAR, FrameType.WOOD): 0.56,
+    (GlazingType.DOUBLE_CLEAR, FrameType.INSULATED): 0.54,
+    
+    # Double Tinted Glass
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM): 0.58,
+    (GlazingType.DOUBLE_TINTED, FrameType.ALUMINUM_THERMAL_BREAK): 0.55,
+    (GlazingType.DOUBLE_TINTED, FrameType.VINYL): 0.47,
+    (GlazingType.DOUBLE_TINTED, FrameType.WOOD): 0.45,
+    (GlazingType.DOUBLE_TINTED, FrameType.INSULATED): 0.43,
+    
+    # Low-E Glass
+    (GlazingType.LOW_E, FrameType.ALUMINUM): 0.51,
+    (GlazingType.LOW_E, FrameType.ALUMINUM_THERMAL_BREAK): 0.49,
+    (GlazingType.LOW_E, FrameType.VINYL): 0.43,
+    (GlazingType.LOW_E, FrameType.WOOD): 0.41,
+    (GlazingType.LOW_E, FrameType.INSULATED): 0.39,
+    
+    # Reflective Glass
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM): 0.38,
+    (GlazingType.REFLECTIVE, FrameType.ALUMINUM_THERMAL_BREAK): 0.36,
+    (GlazingType.REFLECTIVE, FrameType.VINYL): 0.32,
+    (GlazingType.REFLECTIVE, FrameType.WOOD): 0.30,
+    (GlazingType.REFLECTIVE, FrameType.INSULATED): 0.29,
+}
+
+
+class Drapery:
+    """Class for handling drapery properties and effects on window heat transfer."""
+    
+    def __init__(self, openness: str = "Semi-Open", color: str = "Medium", 
+                 fullness: float = 1.5, enabled: bool = True, shading_device: str = "Drapes"):
+        """
+        Initialize drapery properties with UI-compatible inputs.
+        
+        Args:
+            openness: Drapery openness category ("Closed", "Semi-Open", "Open")
+            color: Drapery color category ("Light", "Medium", "Dark")
+            fullness: Fullness factor (1.0 for flat, 1.0-2.0 for pleated)
+            enabled: Whether drapery is enabled
+            shading_device: Type of shading device ("Venetian Blinds", "Drapes", etc.)
+        """
+        self.openness = openness
+        self.color = color
+        self.fullness = fullness
+        self.enabled = enabled
+        self.shading_device = shading_device
+    
+    def get_openness_category(self) -> str:
+        """Get openness category as string."""
+        return self.openness
+    
+    def get_color_category(self) -> str:
+        """Get color category as string."""
+        return self.color
+    
+    def get_shading_coefficient(self, shgc: float = 0.5) -> float:
+        """
+        Calculate shading coefficient for drapery based on UI inputs.
+        
+        Args:
+            shgc: Solar Heat Gain Coefficient of window (default 0.5)
+            
+        Returns:
+            Shading coefficient (0.0-1.0)
+        """
+        if not self.enabled:
+            return 1.0
+        
+        # Mapping of UI shading devices to properties
+        mapping = {
+            ("Venetian Blinds", "Light"): {"openness": "Semi-Open", "color": "Light", "fullness": 1.0, "sc": 0.6},
+            ("Venetian Blinds", "Medium"): {"openness": "Semi-Open", "color": "Medium", "fullness": 1.0, "sc": 0.65},
+            ("Venetian Blinds", "Dark"): {"openness": "Semi-Open", "color": "Dark", "fullness": 1.0, "sc": 0.7},
+            ("Drapes", "Light"): {"openness": "Closed", "color": "Light", "fullness": 1.5, "sc": 0.59},
+            ("Drapes", "Medium"): {"openness": "Closed", "color": "Medium", "fullness": 1.5, "sc": 0.74},
+            ("Drapes", "Dark"): {"openness": "Closed", "color": "Dark", "fullness": 1.5, "sc": 0.87},
+            ("Roller Shades", "Light"): {"openness": "Open", "color": "Light", "fullness": 1.0, "sc": 0.8},
+            ("Roller Shades", "Medium"): {"openness": "Open", "color": "Medium", "fullness": 1.0, "sc": 0.88},
+            ("Roller Shades", "Dark"): {"openness": "Open", "color": "Dark", "fullness": 1.0, "sc": 0.94},
+        }
+        
+        # Get shading coefficient from mapping or default to table-based value
+        properties = mapping.get((self.shading_device, self.color), {
+            "openness": self.openness,
+            "color": self.color,
+            "fullness": self.fullness,
+            "sc": 0.85
+        })
+        base_sc = properties["sc"]
+        
+        # Adjust for fullness if different from mapped value
+        if self.fullness != properties["fullness"]:
+            fullness_factor = 1.0 - 0.05 * (self.fullness - 1.0)
+            base_sc *= fullness_factor
+        
+        return base_sc
+    
+    def get_conduction_reduction(self) -> float:
+        """
+        Get conduction reduction factor based on openness.
+        
+        Returns:
+            Reduction factor (0.05-0.15)
+        """
+        reductions = {
+            "Closed": 0.15,  # 15% reduction
+            "Semi-Open": 0.10,  # 10% reduction
+            "Open": 0.05  # 5% reduction
+        }
+        return reductions.get(self.openness, 0.10)
+
+
+class CLTDCalculator:
+    """Class for calculating Cooling Load Temperature Difference (CLTD) values."""
+    
+    def __init__(self, indoor_temp: float = 25.6, outdoor_max_temp: float = 35.0, 
+                 outdoor_daily_range: float = 11.7, latitude: Latitude = Latitude.LAT_40N, 
+                 month: int = 7):
+        """
+        Initialize CLTD calculator.
+        
+        Args:
+            indoor_temp: Indoor design temperature (°C)
+            outdoor_max_temp: Outdoor maximum temperature (°C)
+            outdoor_daily_range: Daily temperature range (°C)
+            latitude: Latitude category (24°N, 40°N, 48°N)
+            month: Month (1-12)
+        """
+        self.indoor_temp = indoor_temp  # °C
+        self.outdoor_max_temp = outdoor_max_temp  # ��C
+        self.outdoor_daily_range = outdoor_daily_range  # °C
+        self.latitude = latitude
+        self.month = month
+        self.outdoor_avg_temp = outdoor_max_temp - outdoor_daily_range / 2
+        
+        # Initialize ASHRAE tables for SCL data
+        self.ashrae_tables = ASHRAETables()
+        
+        # Load CLTD tables
+        self.cltd_window_tables = self._load_cltd_window_table()
+        self.cltd_door_tables = self._load_cltd_door_table()
+        self.cltd_skylight_tables = self._load_cltd_skylight_table()
+        
+        # Load correction factors
+        self.latitude_corrections = self._load_latitude_correction()
+        self.month_corrections = self._load_month_correction()
+    
+    def _load_cltd_window_table(self) -> Dict[str, Dict[str, pd.DataFrame]]:
+        """
+        Load CLTD tables for windows at multiple latitudes (July).
+        
+        Returns:
+            Dictionary of DataFrames with CLTD values indexed by hour (0-23)
+            and columns for orientations (N, NE, E, SE, S, SW, W, NW)
+        """
+        hours = list(range(24))
+        
+        # Comprehensive window CLTD data for different latitudes, glazing types, and orientations
+        window_cltd_data = {
+            "24N": {
+                "SingleClear": {
+                    "N": [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3],
+                    "NE": [3, 2, 1, 1, 1, 3, 6, 9, 11, 10, 9, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3],
+                    "E": [3, 2, 1, 1, 1, 3, 7, 11, 13, 13, 11, 9, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3],
+                    "SE": [3, 2, 1, 1, 1, 2, 4, 6, 8, 10, 11, 11, 10, 9, 7, 5, 4, 3, 3, 3, 3, 3, 3, 3],
+                    "S": [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3],
+                    "SW": [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 11, 10, 8, 6, 5, 4, 3, 3, 3, 3],
+                    "W": [3, 2, 1, 1, 1, 2, 3, 4, 6, 8, 10, 11, 11, 11, 10, 9, 8, 7, 6, 5, 4, 3, 3, 3],
+                    "NW": [3, 2, 1, 1, 1, 2, 3, 5, 7, 9, 10, 10, 9, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3]
+                },
+                "DoubleTinted": {
+                    "N": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 5, 6, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "NE": [2, 1, 0, 0, 0, 2, 5, 7, 9, 8, 7, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "E": [2, 1, 0, 0, 0, 2, 5, 9, 10, 10, 9, 7, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "SE": [2, 1, 0, 0, 0, 1, 3, 5, 6, 8, 9, 9, 8, 7, 5, 3, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "S": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 5, 6, 7, 7, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2],
+                    "SW": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 5, 7, 8, 9, 9, 8, 6, 4, 3, 2, 2, 2, 2, 2],
+                    "W": [2, 1, 0, 0, 0, 1, 2, 3, 5, 6, 8, 9, 9, 9, 8, 7, 6, 5, 4, 3, 2, 2, 2, 2],
+                    "NW": [2, 1, 0, 0, 0, 1, 2, 4, 5, 7, 8, 8, 7, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2]
+                },
+                "LowE": {
+                    "N": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 5, 5, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1],
+                    "NE": [1, 0, 0, 0, 0, 1, 4, 6, 8, 7, 6, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "E": [1, 0, 0, 0, 0, 1, 4, 8, 9, 9, 8, 6, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "SE": [1, 0, 0, 0, 0, 0, 2, 4, 5, 7, 8, 8, 7, 6, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1],
+                    "S": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 5, 4, 3, 2, 2, 1, 1, 1, 1, 1],
+                    "SW": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 6, 7, 8, 8, 7, 5, 3, 2, 2, 1, 1, 1, 1],
+                    "W": [1, 0, 0, 0, 0, 0, 1, 2, 4, 5, 7, 8, 8, 8, 7, 6, 5, 4, 3, 2, 2, 1, 1, 1],
+                    "NW": [1, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 6, 5, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1]
+                },
+                "Reflective": {
+                    "N": [0, 0, 0, 0, 0, 0, 1, 1, 2, 3, 3, 4, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "NE": [0, 0, 0, 0, 0, 1, 3, 5, 6, 5, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "E": [0, 0, 0, 0, 0, 1, 3, 6, 7, 7, 6, 5, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "SE": [0, 0, 0, 0, 0, 0, 1, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "S": [0, 0, 0, 0, 0, 0, 1, 1, 2, 3, 3, 4, 5, 5, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1],
+                    "SW": [0, 0, 0, 0, 0, 0, 1, 1, 2, 3, 3, 5, 5, 6, 6, 5, 4, 2, 2, 1, 1, 1, 1, 1],
+                    "W": [0, 0, 0, 0, 0, 0, 1, 1, 3, 4, 5, 6, 6, 6, 5, 4, 4, 3, 2, 2, 1, 1, 1, 1],
+                    "NW": [0, 0, 0, 0, 0, 0, 1, 2, 3, 5, 5, 5, 4, 4, 3, 2, 2, 1, 1, 1, 1, 1, 1, 1]
+                }
+            },
+            "40N": {
+                "SingleClear": {
+                    "N": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 6, 7, 7, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2],
+                    "NE": [2, 1, 0, 0, 0, 2, 5, 8, 10, 9, 8, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "E": [2, 1, 0, 0, 0, 2, 6, 10, 12, 12, 10, 8, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2, 2, 2],
+                    "SE": [2, 1, 0, 0, 0, 1, 3, 5, 7, 9, 10, 10, 9, 8, 6, 4, 3, 2, 2, 2, 2, 2, 2, 2],
+                    "S": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 2, 2, 2, 2],
+                    "SW": [2, 1, 0, 0, 0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 10, 9, 7, 5, 4, 3, 2, 2, 2, 2],
+                    "W": [2, 1, 0, 0, 0, 1, 2, 3, 5, 7, 9, 10, 10, 10, 9, 8, 7, 6, 5, 4, 3, 2, 2, 2],
+                    "NW": [2, 1, 0, 0, 0, 1, 2, 4, 6, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 2, 2, 2, 2, 2]
+                },
+                "DoubleTinted": {
+                    "N": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 5, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "NE": [1, 0, 0, 0, 0, 1, 4, 6, 8, 7, 6, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "E": [1, 0, 0, 0, 0, 1, 4, 8, 9, 9, 8, 6, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "SE": [1, 0, 0, 0, 0, 0, 2, 4, 5, 7, 8, 8, 7, 6, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "S": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1],
+                    "SW": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 6, 7, 8, 8, 7, 5, 3, 2, 1, 1, 1, 1, 1],
+                    "W": [1, 0, 0, 0, 0, 0, 1, 2, 4, 5, 7, 8, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1],
+                    "NW": [1, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1]
+                },
+                "LowE": {
+                    "N": [0, 0, 0, 0, 0, 0, 1, 1, 2, 3, 3, 4, 4, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0],
+                    "NE": [0, 0, 0, 0, 0, 1, 3, 5, 7, 6, 5, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "E": [0, 0, 0, 0, 0, 1, 3, 7, 8, 8, 7, 5, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SE": [0, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 6, 5, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0],
+                    "S": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 3, 4, 5, 5, 4, 3, 2, 1, 1, 0, 0, 0, 0, 0],
+                    "SW": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 3, 5, 6, 7, 7, 6, 4, 2, 1, 1, 0, 0, 0, 0],
+                    "W": [0, 0, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 7, 6, 5, 4, 3, 2, 1, 1, 0, 0, 0],
+                    "NW": [0, 0, 0, 0, 0, 0, 0, 2, 3, 5, 6, 6, 5, 4, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0]
+                },
+                "Reflective": {
+                    "N": [0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "NE": [0, 0, 0, 0, 0, 0, 2, 4, 5, 4, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "E": [0, 0, 0, 0, 0, 0, 2, 5, 6, 6, 5, 4, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SE": [0, 0, 0, 0, 0, 0, 0, 2, 3, 4, 5, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "S": [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 3, 4, 4, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0],
+                    "SW": [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 4, 4, 5, 5, 4, 3, 1, 1, 0, 0, 0, 0, 0],
+                    "W": [0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 4, 5, 5, 5, 4, 3, 3, 2, 1, 1, 0, 0, 0, 0],
+                    "NW": [0, 0, 0, 0, 0, 0, 0, 1, 2, 4, 4, 4, 3, 3, 2, 1, 1, 0, 0, 0, 0, 0, 0, 0]
+                }
+            },
+            "48N": {
+                "SingleClear": {
+                    "N": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1],
+                    "NE": [1, 0, 0, 0, 0, 1, 4, 7, 9, 8, 7, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "E": [1, 0, 0, 0, 0, 1, 5, 9, 11, 11, 9, 7, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1, 1, 1],
+                    "SE": [1, 0, 0, 0, 0, 0, 2, 4, 6, 8, 9, 9, 8, 7, 5, 3, 2, 1, 1, 1, 1, 1, 1, 1],
+                    "S": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 6, 7, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1],
+                    "SW": [1, 0, 0, 0, 0, 0, 1, 2, 3, 4, 5, 7, 8, 9, 9, 8, 6, 4, 3, 2, 1, 1, 1, 1],
+                    "W": [1, 0, 0, 0, 0, 0, 1, 2, 4, 6, 8, 9, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1, 1, 1],
+                    "NW": [1, 0, 0, 0, 0, 0, 1, 3, 5, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 1]
+                },
+                "DoubleTinted": {
+                    "N": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 3, 4, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "NE": [0, 0, 0, 0, 0, 0, 3, 5, 7, 6, 5, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "E": [0, 0, 0, 0, 0, 0, 3, 7, 8, 8, 7, 5, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SE": [0, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 6, 5, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "S": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 3, 4, 5, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0],
+                    "SW": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 3, 5, 6, 7, 7, 6, 4, 2, 1, 0, 0, 0, 0, 0],
+                    "W": [0, 0, 0, 0, 0, 0, 0, 1, 3, 4, 6, 7, 7, 7, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0],
+                    "NW": [0, 0, 0, 0, 0, 0, 0, 2, 3, 5, 6, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0]
+                },
+                "LowE": {
+                    "N": [0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "NE": [0, 0, 0, 0, 0, 0, 2, 4, 6, 5, 4, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "E": [0, 0, 0, 0, 0, 0, 2, 6, 7, 7, 6, 4, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SE": [0, 0, 0, 0, 0, 0, 0, 2, 3, 5, 6, 6, 5, 4, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "S": [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 3, 4, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0],
+                    "SW": [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 2, 4, 5, 6, 6, 5, 3, 1, 0, 0, 0, 0, 0, 0],
+                    "W": [0, 0, 0, 0, 0, 0, 0, 0, 2, 3, 5, 6, 6, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0],
+                    "NW": [0, 0, 0, 0, 0, 0, 0, 1, 2, 4, 5, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0]
+                },
+                "Reflective": {
+                    "N": [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 2, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "NE": [0, 0, 0, 0, 0, 0, 1, 3, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "E": [0, 0, 0, 0, 0, 0, 1, 4, 5, 5, 4, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SE": [0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "S": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 3, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0],
+                    "SW": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 3, 3, 4, 4, 3, 2, 0, 0, 0, 0, 0, 0, 0],
+                    "W": [0, 0, 0, 0, 0, 0, 0, 0, 1, 2, 3, 4, 4, 4, 3, 2, 2, 1, 0, 0, 0, 0, 0, 0],
+                    "NW": [0, 0, 0, 0, 0, 0, 0, 0, 1, 3, 3, 3, 2, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+                }
+            }
+        }
+        
+        # Convert to DataFrames
+        window_cltd_tables = {}
+        for latitude, glazing_data in window_cltd_data.items():
+            window_cltd_tables[latitude] = {}
+            for glazing_type, orientation_data in glazing_data.items():
+                window_cltd_tables[latitude][glazing_type] = pd.DataFrame(orientation_data, index=hours)
+        
+        return window_cltd_tables
+    
+    def _load_cltd_door_table(self) -> Dict[str, pd.DataFrame]:
+        """
+        Load CLTD tables for doors.
+        
+        Returns:
+            Dictionary of DataFrames with CLTD values indexed by hour (0-23)
+        """
+        hours = list(range(24))
+        
+        # Door CLTD data approximated from wall groups
+        door_cltd_data = {
+            "WoodSolid": {  # Approximated from Group D walls
+                'N': [4, 3, 2, 1, 0, 1, 8, 16, 20, 21, 22, 25, 29, 31, 33, 35, 37, 37, 30, 20, 14, 10, 8, 6],
+                'NE': [4, 3, 2, 1, 0, 3, 20, 42, 54, 56, 51, 42, 35, 33, 33, 33, 33, 31, 27, 21, 16, 13, 10, 8],
+                'E': [4, 3, 2, 1, 0, 3, 21, 47, 62, 66, 62, 51, 39, 35, 34, 33, 35, 35, 32, 27, 22, 16, 13, 10],
+                'SE': [4, 3, 2, 1, 0, 1, 11, 28, 41, 47, 48, 45, 38, 35, 34, 33, 35, 35, 30, 27, 21, 16, 13, 10],
+                'S': [4, 3, 2, 1, 0, 0, 2, 6, 11, 15, 21, 27, 32, 34, 34, 33, 35, 35, 30, 26, 21, 16, 12, 10],
+                'SW': [4, 3, 4, 5, 6, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11],
+                'W': [5, 3, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11, 8],
+                'NW': [5, 3, 4, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11]
+            },
+            "MetalInsulated": {  # Approximated from Group F walls
+                'N': [10, 8, 6, 4, 2, 1, 1, 2, 4, 6, 9, 11, 13, 15, 18, 20, 22, 24, 26, 26, 24, 21, 19, 15],
+                'NE': [10, 8, 6, 4, 2, 2, 2, 5, 11, 19, 25, 30, 32, 32, 31, 31, 31, 32, 30, 28, 26, 23, 20, 17],
+                'E': [11, 8, 6, 4, 2, 3, 2, 5, 12, 21, 30, 35, 38, 38, 38, 38, 38, 30, 30, 28, 25, 21, 18, 17],
+                'SE': [10, 7, 5, 3, 2, 2, 1, 3, 7, 13, 19, 24, 27, 29, 29, 29, 29, 29, 27, 25, 23, 20, 17, 15],
+                'S': [8, 6, 4, 3, 1, 2, 1, 0, 0, 2, 4, 6, 10, 13, 15, 19, 21, 22, 22, 22, 19, 17, 15, 13],
+                'SW': [15, 12, 9, 6, 4, 3, 2, 2, 2, 3, 4, 7, 10, 13, 15, 19, 25, 31, 32, 30, 40, 39, 35, 30],
+                'W': [20, 16, 12, 9, 6, 4, 3, 3, 3, 3, 5, 7, 10, 13, 15, 19, 27, 36, 34, 30, 50, 40, 40, 40],
+                'NW': [18, 14, 11, 8, 5, 4, 3, 2, 2, 3, 5, 7, 10, 13, 15, 19, 27, 36, 34, 30, 40, 40, 40, 40]
+            },
+            "GlassDoor": {  # Same as single clear glass
+                'N': [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3],
+                'NE': [3, 2, 1, 1, 1, 3, 6, 9, 11, 10, 9, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3],
+                'E': [3, 2, 1, 1, 1, 3, 7, 11, 13, 13, 11, 9, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3, 3, 3],
+                'SE': [3, 2, 1, 1, 1, 2, 4, 6, 8, 10, 11, 11, 10, 9, 7, 5, 4, 3, 3, 3, 3, 3, 3, 3],
+                'S': [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3],
+                'SW': [3, 2, 1, 1, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 11, 10, 8, 6, 5, 4, 3, 3, 3, 3],
+                'W': [3, 2, 1, 1, 1, 2, 3, 4, 6, 8, 10, 11, 11, 11, 10, 9, 8, 7, 6, 5, 4, 3, 3, 3],
+                'NW': [3, 2, 1, 1, 1, 2, 3, 5, 7, 9, 10, 10, 9, 8, 7, 6, 5, 4, 3, 3, 3, 3, 3, 3]
+            },
+            "InsulatedMetal": {  # Enhanced insulated metal door
+                'N': [8, 6, 4, 2, 0, 0, 0, 1, 3, 5, 7, 9, 11, 13, 16, 18, 20, 22, 24, 24, 22, 19, 17, 13],
+                'NE': [8, 6, 4, 2, 0, 1, 1, 4, 10, 18, 24, 29, 31, 31, 30, 30, 30, 31, 29, 27, 25, 22, 19, 16],
+                'E': [9, 6, 4, 2, 0, 2, 1, 4, 11, 20, 29, 34, 37, 37, 37, 37, 37, 29, 29, 27, 24, 20, 17, 16],
+                'SE': [8, 5, 3, 1, 0, 1, 0, 2, 6, 12, 18, 23, 26, 28, 28, 28, 28, 28, 26, 24, 22, 19, 16, 14],
+                'S': [6, 4, 2, 1, -1, 1, 0, 0, 0, 1, 3, 5, 9, 12, 14, 18, 20, 21, 21, 21, 18, 16, 14, 12],
+                'SW': [13, 10, 7, 4, 2, 2, 1, 1, 1, 2, 3, 6, 9, 12, 14, 18, 24, 30, 31, 29, 39, 38, 34, 29],
+                'W': [18, 14, 10, 7, 4, 3, 2, 2, 2, 2, 4, 6, 9, 12, 14, 18, 26, 35, 33, 29, 49, 39, 39, 39],
+                'NW': [16, 12, 9, 6, 3, 3, 2, 1, 1, 2, 4, 6, 9, 12, 14, 18, 26, 35, 33, 29, 39, 39, 39, 39]
+            },
+            "InsulatedWood": {  # Enhanced insulated wood door
+                'N': [3, 2, 1, 0, -1, 0, 7, 15, 19, 20, 21, 24, 28, 30, 32, 34, 36, 36, 29, 19, 13, 9, 7, 5],
+                'NE': [3, 2, 1, 0, -1, 2, 19, 41, 53, 55, 50, 41, 34, 32, 32, 32, 32, 30, 26, 20, 15, 12, 9, 7],
+                'E': [3, 2, 1, 0, -1, 2, 20, 46, 61, 65, 61, 50, 38, 34, 33, 32, 34, 34, 31, 26, 21, 15, 12, 9],
+                'SE': [3, 2, 1, 0, -1, 0, 10, 27, 40, 46, 47, 44, 37, 34, 33, 32, 34, 34, 29, 26, 20, 15, 12, 9],
+                'S': [3, 2, 1, 0, -1, -1, 1, 5, 10, 14, 20, 26, 31, 33, 33, 32, 34, 34, 29, 25, 20, 15, 11, 9],
+                'SW': [3, 2, 3, 4, 5, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10],
+                'W': [4, 2, 4, 4, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10, 7],
+                'NW': [4, 2, 3, 4, 4, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10]
+            },
+            "Custom": {  # Default for custom doors
+                'N': [4, 3, 2, 1, 0, 1, 8, 16, 20, 21, 22, 25, 29, 31, 33, 35, 37, 37, 30, 20, 14, 10, 8, 6],
+                'NE': [4, 3, 2, 1, 0, 3, 20, 42, 54, 56, 51, 42, 35, 33, 33, 33, 33, 31, 27, 21, 16, 13, 10, 8],
+                'E': [4, 3, 2, 1, 0, 3, 21, 47, 62, 66, 62, 51, 39, 35, 34, 33, 35, 35, 32, 27, 22, 16, 13, 10],
+                'SE': [4, 3, 2, 1, 0, 1, 11, 28, 41, 47, 48, 45, 38, 35, 34, 33, 35, 35, 30, 27, 21, 16, 13, 10],
+                'S': [4, 3, 2, 1, 0, 0, 2, 6, 11, 15, 21, 27, 32, 34, 34, 33, 35, 35, 30, 26, 21, 16, 12, 10],
+                'SW': [4, 3, 4, 5, 6, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11],
+                'W': [5, 3, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11, 8],
+                'NW': [5, 3, 4, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11]
+            }
+        }
+        
+        # Convert to DataFrames
+        door_cltd_tables = {}
+        for door_type, orientation_data in door_cltd_data.items():
+            door_cltd_tables[door_type] = pd.DataFrame(orientation_data, index=hours)
+        
+        return door_cltd_tables
+    
+    def _load_cltd_skylight_table(self) -> Dict[str, pd.DataFrame]:
+        """
+        Load CLTD tables for skylights (flat, 0° slope).
+        
+        Returns:
+            Dictionary of DataFrames with CLTD values indexed by hour (0-23)
+        """
+        hours = list(range(24))
+        
+        # Skylight CLTD data for 40°N latitude, July
+        skylight_cltd_data = {
+            "SingleClear": {
+                'Horizontal': [3, 2, 1, 1, 1, 2, 4, 6, 9, 12, 15, 18, 20, 21, 20, 18, 15, 12, 9, 7, 5, 4, 3, 3]
+            },
+            "DoubleTinted": {
+                'Horizontal': [2, 1, 0, 0, 0, 1, 3, 5, 7, 10, 12, 15, 17, 18, 17, 15, 12, 9, 7, 5, 3, 2, 2, 2]
+            },
+            "LowE": {
+                'Horizontal': [1, 0, 0, 0, 0, 0, 2, 4, 6, 8, 10, 12, 14, 15, 14, 12, 10, 7, 5, 3, 2, 1, 1, 1]
+            },
+            "Reflective": {
+                'Horizontal': [0, 0, 0, 0, 0, 0, 1, 2, 4, 6, 8, 10, 11, 12, 11, 10, 8, 6, 4, 2, 1, 0, 0, 0]
+            }
+        }
+        
+        # Convert to DataFrames
+        skylight_cltd_tables = {}
+        for glazing_type, orientation_data in skylight_cltd_data.items():
+            skylight_cltd_tables[glazing_type] = pd.DataFrame(orientation_data, index=hours)
+        
+        return skylight_cltd_tables
+    
+    def _load_latitude_correction(self) -> Dict[str, float]:
+        """
+        Load latitude correction factors for CLTD.
+        
+        Returns:
+            Dictionary of correction factors by latitude
+        """
+        return {
+            "24N": 0.95,
+            "40N": 1.00,
+            "48N": 1.05
+        }
+    
+    def _load_month_correction(self) -> Dict[int, float]:
+        """
+        Load month correction factors for CLTD.
+        
+        Returns:
+            Dictionary of correction factors by month
+        """
+        return {
+            1: 0.85, 2: 0.90, 3: 0.95, 4: 0.98, 5: 1.00,
+            6: 1.02, 7: 1.00, 8: 0.98, 9: 0.95, 10: 0.90,
+            11: 0.85, 12: 0.80
+        }
+    
+    def get_cltd_window(self, glazing_type: str, orientation: str, hour: int) -> float:
+        """
+        Get CLTD for a window with corrections.
+        
+        Args:
+            glazing_type: Type of glazing ("SingleClear", "DoubleTinted", etc.)
+            orientation: Orientation ("N", "NE", etc.)
+            hour: Hour of day (0-23)
+            
+        Returns:
+            Corrected CLTD value (°C)
+        """
+        try:
+            base_cltd = self.cltd_window_tables[self.latitude.value][glazing_type][orientation][hour]
+        except KeyError:
+            base_cltd = 0.0
+        
+        # Apply corrections
+        latitude_factor = self.latitude_corrections.get(self.latitude.value, 1.0)
+        month_factor = self.month_corrections.get(self.month, 1.0)
+        temp_correction = (self.outdoor_avg_temp - 29.4) + (self.indoor_temp - 24.0)
+        
+        corrected_cltd = base_cltd * latitude_factor * month_factor + temp_correction
+        return max(0.0, corrected_cltd)
+    
+    def get_cltd_door(self, door_type: str, orientation: str, hour: int) -> float:
+        """
+        Get CLTD for a door with corrections.
+        
+        Args:
+            door_type: Type of door ("WoodSolid", "MetalInsulated", etc.)
+            orientation: Orientation ("N", "NE", etc.)
+            hour: Hour of day (0-23)
+            
+        Returns:
+            Corrected CLTD value (°C)
+        """
+        try:
+            base_cltd = self.cltd_door_tables[door_type][orientation][hour]
+        except KeyError:
+            base_cltd = 0.0
+        
+        # Apply corrections
+        latitude_factor = self.latitude_corrections.get(self.latitude.value, 1.0)
+        month_factor = self.month_corrections.get(self.month, 1.0)
+        temp_correction = (self.outdoor_avg_temp - 29.4) + (self.indoor_temp - 24.0)
+        
+        corrected_cltd = base_cltd * latitude_factor * month_factor + temp_correction
+        return max(0.0, corrected_cltd)
+    
+    def get_cltd_skylight(self, glazing_type: str, hour: int) -> float:
+        """
+        Get CLTD for a skylight with corrections.
+        
+        Args:
+            glazing_type: Type of glazing ("SingleClear", "DoubleTinted", etc.)
+            hour: Hour of day (0-23)
+            
+        Returns:
+            Corrected CLTD value (°C)
+        """
+        try:
+            base_cltd = self.cltd_skylight_tables[glazing_type]['Horizontal'][hour]
+        except KeyError:
+            base_cltd = 0.0
+        
+        # Apply corrections
+        latitude_factor = self.latitude_corrections.get(self.latitude.value, 1.0)
+        month_factor = self.month_corrections.get(self.month, 1.0)
+        temp_correction = (self.outdoor_avg_temp - 29.4) + (self.indoor_temp - 24.0)
+        
+        corrected_cltd = base_cltd * latitude_factor * month_factor + temp_correction
+        return max(0.0, corrected_cltd)
+
+
+class WindowHeatGainCalculator:
+    """Class for calculating window heat gain using CLTD/SCL method."""
+    
+    def __init__(self, cltd_calculator: CLTDCalculator):
+        """
+        Initialize window heat gain calculator.
+        
+        Args:
+            cltd_calculator: Instance of CLTDCalculator
+        """
+        self.cltd_calculator = cltd_calculator
+    
+    def calculate_window_heat_gain(self, area: float, glazing_type: GlazingType, 
+                                  frame_type: FrameType, orientation: str, hour: int, 
+                                  drapery: Optional[Drapery] = None) -> Tuple[float, float]:
+        """
+        Calculate window heat gain (conduction and solar).
+        
+        Args:
+            area: Window area (m²)
+            glazing_type: Type of glazing
+            frame_type: Type of frame
+            orientation: Orientation ("N", "NE", etc.)
+            hour: Hour of day (0-23)
+            drapery: Drapery object (optional)
+            
+        Returns:
+            Tuple of (conduction_heat_gain, solar_heat_gain) in Watts
+        """
+        # Get U-factor
+        u_factor = WINDOW_U_FACTORS.get((glazing_type, frame_type), 7.22)
+        
+        # Get SHGC
+        shgc = WINDOW_SHGC.get((glazing_type, frame_type), 0.78)
+        
+        # Get CLTD
+        cltd = self.cltd_calculator.get_cltd_window(glazing_type.value, orientation, hour)
+        
+        # Calculate conduction heat gain
+        conduction_reduction = drapery.get_conduction_reduction() if drapery and drapery.enabled else 0.0
+        conduction_heat_gain = area * u_factor * cltd * (1.0 - conduction_reduction)
+        
+        # Get SCL from ASHRAE tables
+        scl = self.cltd_calculator.ashrae_tables.get_scl(
+            latitude=self.cltd_calculator.latitude.value,
+            orientation=orientation,
+            hour=hour,
+            month=self.cltd_calculator.month
+        )
+        
+        # Apply drapery shading coefficient
+        shading_coefficient = drapery.get_shading_coefficient(shgc) if drapery and drapery.enabled else 1.0
+        solar_heat_gain = area * shgc * scl * shading_coefficient
+        
+        return conduction_heat_gain, solar_heat_gain
+    
+    def calculate_skylight_heat_gain(self, area: float, glazing_type: GlazingType, 
+                                    frame_type: FrameType, hour: int, 
+                                    drapery: Optional[Drapery] = None) -> Tuple[float, float]:
+        """
+        Calculate skylight heat gain (conduction and solar).
+        
+        Args:
+            area: Skylight area (m²)
+            glazing_type: Type of glazing
+            frame_type: Type of frame
+            hour: Hour of day (0-23)
+            drapery: Drapery object (optional)
+            
+        Returns:
+            Tuple of (conduction_heat_gain, solar_heat_gain) in Watts
+        """
+        # Get U-factor
+        u_factor = SKYLIGHT_U_FACTORS.get((glazing_type, frame_type), 7.79)
+        
+        # Get SHGC
+        shgc = SKYLIGHT_SHGC.get((glazing_type, frame_type), 0.83)
+        
+        # Get CLTD
+        cltd = self.cltd_calculator.get_cltd_skylight(glazing_type.value, hour)
+        
+        # Calculate conduction heat gain
+        conduction_reduction = drapery.get_conduction_reduction() if drapery and drapery.enabled else 0.0
+        conduction_heat_gain = area * u_factor * cltd * (1.0 - conduction_reduction)
+        
+        # Get SCL for skylight (horizontal)
+        scl = self.cltd_calculator.ashrae_tables.get_scl(
+            latitude=self.cltd_calculator.latitude.value,
+            orientation='Horizontal',
+            hour=hour,
+            month=self.cltd_calculator.month
+        )
+        
+        # Apply drapery shading coefficient
+        shading_coefficient = drapery.get_shading_coefficient(shgc) if drapery and drapery.enabled else 1.0
+        solar_heat_gain = area * shgc * scl * shading_coefficient
+        
+        return conduction_heat_gain, solar_heat_gain
+
+
+class DoorHeatGainCalculator:
+    """Class for calculating door heat gain using CLTD method."""
+    
+    def __init__(self, cltd_calculator: CLTDCalculator):
+        """
+        Initialize door heat gain calculator.
+        
+        Args:
+            cltd_calculator: Instance of CLTDCalculator
+        """
+        self.cltd_calculator = cltd_calculator
+    
+    def calculate_door_heat_gain(self, area: float, door_type: str, orientation: str, 
+                                hour: int) -> float:
+        """
+        Calculate door heat gain (conduction only).
+        
+        Args:
+            area: Door area (m²)
+            door_type: Type of door ("WoodSolid", "MetalInsulated", etc.)
+            orientation: Orientation ("N", "NE", etc.)
+            hour: Hour of day (0-23)
+            
+        Returns:
+            Conduction heat gain in Watts
+        """
+        # Get U-factor
+        u_factor = DOOR_U_FACTORS.get(door_type, 3.00)
+        
+        # Get CLTD
+        cltd = self.cltd_calculator.get_cltd_door(door_type, orientation, hour)
+        
+        # Calculate conduction heat gain
+        conduction_heat_gain = area * u_factor * cltd
+        
+        return conduction_heat_gain
+
+
+def calculate_total_heat_gain(window_area: float, glazing_type: GlazingType, 
+                             frame_type: FrameType, orientation: str, hour: int, 
+                             drapery: Optional[Drapery] = None, 
+                             door_area: float = 0.0, door_type: str = "WoodSolid", 
+                             skylight_area: float = 0.0) -> Dict[str, float]:
+    """
+    Calculate total heat gain for a fenestration system.
+    
+    Args:
+        window_area: Window area (m²)
+        glazing_type: Type of glazing
+        frame_type: Type of frame
+        orientation: Orientation ("N", "NE", etc.)
+        hour: Hour of day (0-23)
+        drapery: Drapery object (optional)
+        door_area: Door area (m²)
+        door_type: Type of door
+        skylight_area: Skylight area (m²)
+        
+    Returns:
+        Dictionary with conduction and solar heat gains (Watts)
+    """
+    cltd_calculator = CLTDCalculator()
+    window_calculator = WindowHeatGainCalculator(cltd_calculator)
+    door_calculator = DoorHeatGainCalculator(cltd_calculator)
+    
+    total_conduction = 0.0
+    total_solar = 0.0
+    
+    # Calculate window heat gain
+    if window_area > 0:
+        conduction, solar = window_calculator.calculate_window_heat_gain(
+            window_area, glazing_type, frame_type, orientation, hour, drapery
+        )
+        total_conduction += conduction
+        total_solar += solar
+    
+    # Calculate skylight heat gain
+    if skylight_area > 0:
+        conduction, solar = window_calculator.calculate_skylight_heat_gain(
+            skylight_area, glazing_type, frame_type, hour, drapery
+        )
+        total_conduction += conduction
+        total_solar += solar
+    
+    # Calculate door heat gain
+    if door_area > 0:
+        conduction = door_calculator.calculate_door_heat_gain(
+            door_area, door_type, orientation, hour
+        )
+        total_conduction += conduction
+    
+    return {
+        "conduction_heat_gain": total_conduction,
+        "solar_heat_gain": total_solar,
+        "total_heat_gain": total_conduction + total_solar
+    }