Airedale By Modine Cooling Ai Control System Brings Unprecedented Efficiency Gains To High-density Data Centers

Airedale by Modine, the critical cooling specialists, is now offering an AI-enhanced version of its Cooling System Optimizer, marking a tangible advancement in cooling and efficiency for high-density data centers. Cooling AI delivers real-time adaptability, predictive intelligence and significant energy savings in response to global data center industry demand for high-performance, high-efficiency controls systems.

The patent-pending AI technology utilizes a hybrid deep learning model, leveraging machine learning, neural networks and digital twins to maximize efficiency and reduce energy consumption, and enhance operational stability for hyperscale, colocation, and enterprise data centers.

The Cooling AI system continuously analyzes cooling demands, optimizes system operations and anticipates future conditions. It works as a supervisory layer to the Optimizer, allowing the building management system BMS 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 behavior.

Cooling AI can reduce energy consumption by up to 40, improving power usage effectiveness PUE and driving sustainability gains. Chiller and fan performance is synchronized within the AI-driven data center cooling control system, improving cooling efficiency and reducing energy use. Furthermore, the reduction in mechanical stress as a result of reduced compressor cycling can extend the equipment life cycle, as well as lower maintenance costs.

As AI-driven computing accelerates, the demand for smarter, scalable and highly efficient cooling infrastructure has never been higher, and it isnt set to stop any time soon, said Reece Thomas , Controls General Manager at Airedale by Modine.