Cooling AI control systems brings efficiency gains to high-density data centre

Cooling AI by Modine AI-enhanced Cooling System Optimizer reduces energy consumption by up to 40%. The patent-pending AI technology utilises a hybrid deep learning model, leveraging machine learning, neural networks and digital twins to maximise efficiency, reduce energy consumption, and enhance operational stability for hyperscale, colocation, and enterprise data centres.

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

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

The Cooling AI system continuously analyses cooling demands, optimises system operations, and anticipates future conditions. It works as a supervisory layer for the Optimiser, allowing the building management system (BMS) to handle baseline monitoring functions, with its predictive AI model making proactive adjustments. This ensures the system learns from historical data and adheres to the physical laws governing HVAC behavior. 

Reece Thomas, Controls General Manager at Airedale by Modine, said, “Power densities rise and sustainability expectations will continue to increase, and data centers need cooling solutions that can evolve with them. By embedding AI directly into the control architecture, we are delivering more than just efficiency gains. We are enabling a future where cooling adapts in real time, anticipates challenges before they arise, and continuously improves over time. This is the next frontier in sustainable, high-performance data center cooling.”

 Cooling AI can reduce energy consumption by up to 40%, improving power usage effectiveness (PUE) and driving sustainability gains. Chiller and fan performance are 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 and lower maintenance costs.

For more information, visit www.airedale.com