Update data/ashrae_tables.py

data/ashrae_tables.py

@@ -233,6 +233,73 @@ class ASHRAETables:
             return df
         except Exception as e:
             raise Exception(f"Error loading latitude correction table: {str(e)}")
+
+    def _load_thermal_properties(self) -> pd.DataFrame:
+        """
+        Load thermal properties for wall and roof groups based on ASHRAE Handbook—Fundamentals (2017, Chapter 18).
+        Returns: DataFrame with columns 'group' (wall/roof group), 'type' (wall/roof), 'U_value' (Btu/h-ft²-°F).
+        """
+        try:
+            # U-values (overall heat transfer coefficients) for wall and roof groups
+            # Values are approximate; adjust based on ASHRAE Chapter 18 or project data
+            data = [
+                {'group': 'A', 'type': 'wall', 'U_value': 0.20},  # Light construction
+                {'group': 'B', 'type': 'wall', 'U_value': 0.15},
+                {'group': 'C', 'type': 'wall', 'U_value': 0.12},
+                {'group': 'D', 'type': 'wall', 'U_value': 0.10},
+                {'group': 'E', 'type': 'wall', 'U_value': 0.08},
+                {'group': 'F', 'type': 'wall', 'U_value': 0.06},
+                {'group': 'G', 'type': 'wall', 'U_value': 0.05},
+                {'group': 'H', 'type': 'wall', 'U_value': 0.04},  # Heavy construction
+                {'group': 'A', 'type': 'roof', 'U_value': 0.25},  # Light construction
+                {'group': 'B', 'type': 'roof', 'U_value': 0.20},
+                {'group': 'C', 'type': 'roof', 'U_value': 0.15},
+                {'group': 'D', 'type': 'roof', 'U_value': 0.12},
+                {'group': 'E', 'type': 'roof', 'U_value': 0.10},
+                {'group': 'F', 'type': 'roof', 'U_value': 0.08},
+                {'group': 'G', 'type': 'roof', 'U_value': 0.06}   # Heavy construction
+            ]
+            return pd.DataFrame(data)
+        except Exception as e:
+            raise Exception(f"Error loading thermal properties table: {str(e)}")
+    
+    def _load_roof_classifications(self) -> pd.DataFrame:
+        """
+        Load roof classification data based on ASHRAE Handbook—Fundamentals (2017, Chapter 18).
+        Returns: DataFrame with columns 'group' (roof group), 'description', 'mass' (lb/ft²).
+        """
+        try:
+            # Roof classifications with approximate mass per unit area
+            # Values are placeholders; adjust based on ASHRAE or project data
+            data = [
+                {'group': 'A', 'description': 'Light metal deck, minimal insulation', 'mass': 5.0},
+                {'group': 'B', 'description': 'Light metal deck, moderate insulation', 'mass': 10.0},
+                {'group': 'C', 'description': 'Concrete slab, light insulation', 'mass': 20.0},
+                {'group': 'D', 'description': 'Concrete slab, moderate insulation', 'mass': 30.0},
+                {'group': 'E', 'description': 'Heavy concrete, light insulation', 'mass': 40.0},
+                {'group': 'F', 'description': 'Heavy concrete, moderate insulation', 'mass': 50.0},
+                {'group': 'G', 'description': 'Heavy concrete, high insulation', 'mass': 60.0}
+            ]
+            return pd.DataFrame(data)
+        except Exception as e:
+            raise Exception(f"Error loading roof classifications table: {str(e)}")
+
+    def _load_fenestration_correction(self) -> Dict[str, float]:
+        """
+        Load fenestration correction factors based on ASHRAE Handbook—Fundamentals (2017, Chapter 18).
+        Returns: Dictionary mapping fenestration types to correction factors (dimensionless).
+        """
+        try:
+            # Correction factors for fenestration (e.g., glazing types)
+            # Values are placeholders; adjust based on ASHRAE or project data
+            return {
+                'Standard': 1.0,  # Baseline glazing
+                'Low-E': 0.85,    # Low-emissivity glazing
+                'Tinted': 0.90,   # Tinted glazing
+                'Reflective': 0.80  # Reflective coating
+            }
+        except Exception as e:
+            raise Exception(f"Error loading fenestration correction table: {str(e)}")
     
     def _load_occupancy_heat_gain_table(self) -> pd.DataFrame:
         """