AI-Driven Energy Optimization at WELL22: A New Step in Sustainability

ESR

Published on 07/03/25

The WELL22 building, originally designed with strong environmental credentials—including a carbon-neutral pellet boiler, rainwater recovery, and photovoltaic panels—has taken a new step toward sustainability. An artificial intelligence (AI) solution, integrated into the Building Operating System (BOS), now controls HVAC (heating, ventilation, and air conditioning) systems in real time.

AI at the service of comfort and efficiency

By structuring and analyzing building, weather, and usage data, a reinforcement learning algorithm generates precise commands to optimize temperature, pressure, and ventilation.

The result: a 12% reduction in overall energy consumption, with nearly 50% optimization of the air handling units’ (AHU) energy use.

The project was gradually rolled out over the summer of 2024 and has been fully operational since early September. After a few months of monitoring, the tangible benefits confirm initial expectations.

A measurable economic and environmental impact

This solution goes beyond simple technical adjustments: it learns and anticipates the building’s specific needs to maximize energy savings without compromising occupant comfort. With this project, WELL22 demonstrates that even a recently constructed building can further reduce its carbon footprint and lower energy costs through innovation.

By adopting this solution, IKO shows that environmental commitment, smart building management, and technological innovation can go hand in hand.