Optimizing Energy Consumption While Maintaining Thermal Comfort for Passengers

Overview:

• Large buildings like airports require precise HVAC management to ensure passenger comfort while minimizing energy wastage.

• Balancing energy efficiency with real-time occupancy levels is essential for sustainable operations.

Challenge:

• Over-cooling or heating leads to unnecessary energy consumption and high operational costs.

• Fluctuating occupancy levels make it difficult to maintain optimal thermal comfort dynamically.

• Manual HVAC adjustments are inefficient and fail to address energy-saving goals.

Solution:

• Bert Nova uses predictive algorithms to adjust HVAC settings based on occupancy and weather forecasts.

• The system leverages IoT sensors to collect real-time data on indoor conditions, such as temperature and humidity.

• AI optimizes airflow, temperature, and energy usage without compromising passenger comfort.

Impact:

• Achieves energy savings of 20–30%.

• Enhances passenger satisfaction through consistent thermal comfort.

• Reduces environmental impact by lowering energy-related emissions.