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# 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 β Validation β Calculation β Results Visualization β 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
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