Update app.py

app.py

@@ -1,4 +1,3 @@
-# Import libraries
 import os
 import numpy as np
 import pandas as pd
@@ -14,7 +13,8 @@ client = Groq(api_key=api_key)
 # HVAC Load Calculation Logic
 def calculate_load(room_size, insulation_type, climate, occupants, outdoor_air, dust_efficiency, design_temp,
                    material, infiltration, internal_loads, lighting_cooling_factor, heat_gain_occupant,
-                   space_per_occupant, sensible_heat_factor, solar_heat_gain, shading_coefficients, cooling_load_temp_diff):
+                   space_per_occupant, sensible_heat_factor, solar_heat_gain, shading_coefficients, cooling_load_temp_diff,
+                   is_commercial=False):
     try:
         # R-values for selected materials (per inch)
         material_r_values = {
@@ -70,10 +70,23 @@ def calculate_load(room_size, insulation_type, climate, occupants, outdoor_air,
         # Calculate tonnage
         required_tonnage = total_load_btu / 12000
 
+        # Commercial building load: increase size factor for larger spaces
+        if is_commercial:
+            total_load_btu *= 1.5  # Scale load for commercial buildings
+            required_tonnage = total_load_btu / 12000
+
+        # Maintenance recommendations based on usage
+        maintenance_recommendation = ""
+        if room_size > 1000:
+            maintenance_recommendation = "Regular HVAC maintenance is recommended, check air filters and ducts."
+
+        # Energy savings tips based on input
+        energy_savings_tips = "Consider upgrading insulation or using energy-efficient HVAC systems for better performance."
+
         # Determine recommendation
         recommendation = "AC is required" if climate == "Hot" else "Heater is required"
 
-        return total_load_btu, total_load_kw, required_tonnage, recommendation, {
+        return total_load_btu, total_load_kw, required_tonnage, recommendation, maintenance_recommendation, energy_savings_tips, {
             "Base Load": base_load,
             "Ventilation Load": ventilation_load,
             "Infiltration Load": infiltration_load,
@@ -83,7 +96,7 @@ def calculate_load(room_size, insulation_type, climate, occupants, outdoor_air,
             "Wall Load": wall_load,
         }
     except Exception as e:
-        return f"Error in calculation: {e}", None, None, None, {}
+        return f"Error in calculation: {e}", None, None, None, None, None, {}
 
 # Visualization Function
 def generate_plot(load_components):
@@ -106,19 +119,13 @@ def generate_plot(load_components):
 def app(room_size, insulation_type, climate, occupants, outdoor_air, dust_efficiency, design_temp,
         material, infiltration, internal_loads, lighting_cooling_factor, heat_gain_occupant,
         space_per_occupant, sensible_heat_factor, solar_heat_gain, shading_coefficients, cooling_load_temp_diff, 
-        hours_of_usage, cost_per_kwh):
+        hours_of_usage, cost_per_kwh, is_commercial):
     try:
-        parameters = {
-            "Room Size (sq ft)": room_size,
-            "Insulation Type": insulation_type,
-            "Climate": climate,
-            "Occupants": occupants,
-            "Selected Material": material,
-        }
-        total_load_btu, total_load_kw, required_tonnage, recommendation, load_components = calculate_load(
+        total_load_btu, total_load_kw, required_tonnage, recommendation, maintenance_recommendation, energy_savings_tips, load_components = calculate_load(
             room_size, insulation_type, climate, occupants, outdoor_air, dust_efficiency, design_temp,
             material, infiltration, internal_loads, lighting_cooling_factor, heat_gain_occupant,
-            space_per_occupant, sensible_heat_factor, solar_heat_gain, shading_coefficients, cooling_load_temp_diff
+            space_per_occupant, sensible_heat_factor, solar_heat_gain, shading_coefficients, cooling_load_temp_diff,
+            is_commercial
         )
         
         # Calculate energy consumption and cost
@@ -127,16 +134,37 @@ def app(room_size, insulation_type, climate, occupants, outdoor_air, dust_effici
         
         plot_path = generate_plot(load_components)
         
+        # Generate a report PDF
+        report_pdf = FPDF()
+        report_pdf.add_page()
+        report_pdf.set_font("Arial", size=12)
+        report_pdf.cell(200, 10, txt="HVAC Load Calculation Report", ln=True, align="C")
+        report_pdf.ln(10)
+        report_pdf.multi_cell(0, 10, txt=f"Room Size: {room_size} sq ft\n"
+                                         f"Insulation Type: {insulation_type}\n"
+                                         f"Climate: {climate}\n"
+                                         f"Number of Occupants: {occupants}\n"
+                                         f"Recommended Tonnage: {required_tonnage:.2f} tons\n"
+                                         f"Total HVAC Load: {total_load_btu:.2f} BTU/hr ({total_load_kw:.2f} kW)\n"
+                                         f"Energy Consumed: {energy_consumed_kwh:.2f} kWh\n"
+                                         f"Total Cost: ${total_cost:.2f}\n"
+                                         f"Maintenance Recommendation: {maintenance_recommendation}\n"
+                                         f"Energy Savings Tips: {energy_savings_tips}")
+        report_pdf.output("hvac_report.pdf")
+        
         return (
             f"Total HVAC Load: {total_load_btu:.2f} BTU/hr ({total_load_kw:.2f} kW)\n"
             f"Recommended Tonnage: {required_tonnage:.2f} tons\n"
             f"Recommendation: {recommendation}\n"
             f"Energy Consumed: {energy_consumed_kwh:.2f} kWh\n"
-            f"Total Cost: ${total_cost:.2f}",
+            f"Total Cost: ${total_cost:.2f}\n"
+            f"Maintenance Recommendation: {maintenance_recommendation}\n"
+            f"Energy Savings Tips: {energy_savings_tips}",
             plot_path,
+            "hvac_report.pdf"
         )
     except Exception as e:
-        return f"Error: {e}", None
+        return f"Error: {e}", None, None
 
 # Gradio Interface
 interface = gr.Interface(
@@ -150,39 +178,29 @@ interface = gr.Interface(
         gr.Number(label="ASHRAE Dust Spot Efficiency (%)", value=100),
         gr.Number(label="Design Temperature (°C)", value=24),
         gr.Dropdown(
-            label="Select Building Material",
-            choices=[
-                "Fiberglass Insulation (Batt or Roll)",
-                "Expanded Polystyrene (EPS)",
-                "Extruded Polystyrene (XPS)",
-                "Spray Foam Insulation",
-                "Wood (Softwood)",
-                "Concrete (6\" thick)",
-                "Brick",
-                "Double Glazed Glass",
-                "Mineral Wool Insulation",
-                "Cellulose Insulation",
-            ],
-            value="Fiberglass Insulation (Batt or Roll)",
+            label="Building Material",
+            choices=["Fiberglass Insulation (Batt or Roll)", "Expanded Polystyrene (EPS)", "Extruded Polystyrene (XPS)", 
+                     "Spray Foam Insulation", "Wood (Softwood)", "Concrete (6\" thick)", "Brick", "Double Glazed Glass", 
+                     "Mineral Wool Insulation", "Cellulose Insulation"]
         ),
-        gr.Number(label="Infiltration Constant (ACH)", value=0.5),
-        gr.Number(label="Internal Loads (BTU/hr)", value=0),
-        gr.Number(label="Lighting Cooling Factor (BTU/hr per sq ft)", value=2),
-        gr.Number(label="Heat Gain from Occupants (BTU/hr per person)", value=250),
-        gr.Number(label="Space per Occupant (sq ft per person)", value=100),
-        gr.Number(label="Sensible Heat Factor for People", value=0.8),
-        gr.Number(label="Solar Heat Gain Factor (W/m²)", value=200),
-        gr.Number(label="Shading Coefficients", value=0.8),
-        gr.Number(label="Cooling Load Temp Difference (°C)", value=10),
-        gr.Number(label="Hours of Usage per Day", value=5),
-        gr.Number(label="Cost per kWh (USD)", value=0.12),
+        gr.Number(label="Infiltration (CFM)"),
+        gr.Number(label="Internal Loads (W/m²)"),
+        gr.Number(label="Lighting Cooling Factor (W/m²)"),
+        gr.Number(label="Heat Gain per Occupant (W)"),
+        gr.Number(label="Space per Occupant (sq ft)"),
+        gr.Number(label="Sensible Heat Factor for Occupants"),
+        gr.Number(label="Solar Heat Gain (W/m²)"),
+        gr.Number(label="Shading Coefficients"),
+        gr.Number(label="Cooling Load Temperature Difference (°C)"),
+        gr.Number(label="Hours of Usage (hrs/day)", value=5),
+        gr.Number(label="Cost per kWh ($)", value=0.12),
+        gr.Checkbox(label="Is Commercial Building?", value=False)
     ],
     outputs=[
-        gr.Text(label="HVAC Load Summary and Cost"),
+        gr.Textbox(label="Results"),
         gr.Image(label="Load Breakdown Plot"),
-    ],
-    title="Advanced HVAC Load Calculator"
+        gr.File(label="Download HVAC Report")
+    ]
 )
 
-# Launch the App in Colab
-interface.launch(share=True)
+interface.launch()