US Museum reduces Gas and Electricity Consumption by 15%

Scope:

Reduce energy use for a major US museum by implementing an energy efficient temperature and humidity control solution integrated with the museum’s HVAC system.

Approach:

Optimized energy consumption by leveraging an IoT network to access 1.3TB of historical data. Applied Machine Learning algorithms to predict optimal set points for dehumidification, reheating and re-humidification.

Results: