# HVAC Load Calculator Web Application Design ## Overview This document outlines the structure and user flow for the HVAC Load Calculator web application. The application will be built using Python and deployed on Hugging Face Spaces, providing a user-friendly interface for calculating cooling and heating loads based on the ASHRAE method. ## Application Structure ### 1. Core Components - **Backend Calculation Modules** - `cooling_load.py`: Implements ASHRAE cooling load calculations - `heating_load.py`: Implements ASHRAE heating load calculations - `reference_data.py`: Contains material properties, climate data, and other reference information - **Web Interface** - `app.py`: Main Streamlit application entry point - `pages/`: Directory containing individual calculator pages - `cooling_calculator.py`: Cooling load calculator interface - `heating_calculator.py`: Heating load calculator interface - `about.py`: Information about the application and calculation methods - **Utilities** - `utils/`: Directory containing utility functions - `validation.py`: Input validation functions - `visualization.py`: Chart and table generation functions - `export.py`: Data export functionality ### 2. Data Flow ``` User Input → Validation → Calculation → Results Visualization → Data Export ``` ## User Flow ### Home Page - Introduction to the application - Selection between cooling and heating load calculators - Information about ASHRAE calculation methods - Links to reference materials ### Cooling Load Calculator 1. **Building Information** - Building location - Indoor and outdoor design temperatures - Building dimensions and volume 2. **Building Envelope** - Wall areas and construction types - Roof/ceiling areas and construction types - Floor areas and construction types 3. **Windows and Doors** - Window areas by orientation - Glass types and shading information - Door areas and types 4. **Internal Loads** - Number of occupants - Lighting information - Equipment and appliances 5. **Ventilation and Infiltration** - Air changes per hour - Ventilation requirements 6. **Results** - Breakdown of cooling loads by component - Total sensible and latent cooling loads - Visualizations (charts and tables) - Equipment sizing recommendations - Option to download input and result data ### Heating Load Calculator 1. **Building Information** - Building location - Indoor and outdoor design temperatures - Building dimensions and volume 2. **Building Envelope** - Wall areas and construction types - Roof/ceiling areas and construction types - Floor areas and construction types 3. **Windows and Doors** - Window areas by orientation - Glass types - Door areas and types 4. **Ventilation and Infiltration** - Air changes per hour - Ventilation requirements 5. **Occupancy Information** - Occupancy type and schedule - Heating degree days information 6. **Results** - Breakdown of heating loads by component - Total peak heating load - Annual heating energy requirement - Visualizations (charts and tables) - Equipment sizing recommendations - Option to download input and result data ## User Interface Design ### General Principles - Clean, modern interface with clear navigation - Step-by-step input forms with progress indicators - Immediate feedback on inputs with validation warnings - Informative tooltips and help text for technical terms - Responsive design for different screen sizes ### Input Forms - Grouped by logical sections - Clear labels and units - Default values where appropriate - Input validation with warning messages - Option to proceed with warnings rather than blocking progress - Reference data selection for materials and locations ### Results Display - Clear summary of key results - Detailed breakdown of load components - Visual representations (charts and graphs) - Tabular data for detailed analysis - Equipment sizing recommendations - Export options for reports and assignments ## Validation System - Input validation for required fields - Range checking for numerical inputs - Logical validation between related inputs - Warning system that allows proceeding with caution - Clear error messages with suggestions for correction ## Data Export Functionality - Export input data in JSON format - Export results in CSV format - Generate PDF reports with inputs and results - Save charts and visualizations as images ## Extensibility Features - Modular code structure for easy addition of new calculation methods - Configuration-based reference data for easy updates - Pluggable visualization components - Separation of UI and calculation logic ## Technology Stack - **Backend**: Python - **Web Framework**: Streamlit - **Data Processing**: Pandas, NumPy - **Visualization**: Plotly, Matplotlib - **Deployment**: Hugging Face Spaces