Cooling AI brings data centre efficiency gains
24th April 2025
USA: Critical cooling company Airedale by Modine is now offering an AI-enhanced version of its Cooling System Optimizer for high-density data centres.
The company claims that Cooling AI delivers real-time adaptability, predictive intelligence and significant energy savings.
This is said to be achieved through the use of a hybrid deep learning model, employing machine learning, neural networks and digital twins to maximise efficiency and reduce energy consumption.
The Cooling System Optimizer is an additional controls layer, between the product controls in chillers and indoor cooling units like CRAHs and fan walls, and the site BMS.
It is a failover master distributed control system, with an Optimizer Controller on each unit offering multiple levels of resilience to failure.
The Cooling AI system continuously analyses cooling demands, optimises system operations and anticipates future conditions. It works as a supervisory layer to the Optimizer, allowing the building management system to handle baseline monitoring functions, with its predictive AI model making proactive adjustments. This ensures the entire system learns from historical data and adheres to the physical laws governing HVAC behaviour.
Airedale by Modine claims that Cooling AI can reduce energy consumption by up to 40%, improving PUE and driving sustainability gains. Chiller and fan performance is synchronised within the AI-driven data centre cooling control system, improving cooling efficiency and reducing energy use. Furthermore, the company claims the reduction in mechanical stress as a result of reduced compressor cycling can extend the equipment life cycle, as well as lower maintenance costs.
Airedale by Modine
