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A newer version of the Streamlit SDK is available:
1.52.2
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 calculationsheating_load.py: Implements ASHRAE heating load calculationsreference_data.py: Contains material properties, climate data, and other reference information
Web Interface
app.py: Main Streamlit application entry pointpages/: Directory containing individual calculator pagescooling_calculator.py: Cooling load calculator interfaceheating_calculator.py: Heating load calculator interfaceabout.py: Information about the application and calculation methods
Utilities
utils/: Directory containing utility functionsvalidation.py: Input validation functionsvisualization.py: Chart and table generation functionsexport.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
Building Information
- Building location
- Indoor and outdoor design temperatures
- Building dimensions and volume
Building Envelope
- Wall areas and construction types
- Roof/ceiling areas and construction types
- Floor areas and construction types
Windows and Doors
- Window areas by orientation
- Glass types and shading information
- Door areas and types
Internal Loads
- Number of occupants
- Lighting information
- Equipment and appliances
Ventilation and Infiltration
- Air changes per hour
- Ventilation requirements
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
Building Information
- Building location
- Indoor and outdoor design temperatures
- Building dimensions and volume
Building Envelope
- Wall areas and construction types
- Roof/ceiling areas and construction types
- Floor areas and construction types
Windows and Doors
- Window areas by orientation
- Glass types
- Door areas and types
Ventilation and Infiltration
- Air changes per hour
- Ventilation requirements
Occupancy Information
- Occupancy type and schedule
- Heating degree days information
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