Smart Building Energy Optimization Using Real-Time Digital Twin Model

To design a digital twin of a commercial building that monitors HVAC, lighting, and occupancy levels. The system will analyze energy consumption patterns and suggest optimized energy-saving strategies.

Study smart building automation systems.

Model building structure digitally.

Simulate occupancy and energy usage patterns.

Integrate IoT data simulation for temperature and lighting.

Develop energy consumption prediction algorithms.

Implement automated HVAC control simulation.

Create dashboard visualization for energy analytics.

Compare optimized vs baseline energy usage.

Analyze carbon footprint reduction.

Conduct performance validation.

Document findings and energy efficiency gains.

Prepare user manual and system report.