Airedale by Modine has introduced an AI-enhanced version of its Cooling System Optimizer to improve cooling efficiency in high-density data centers. The new system, Cooling AI, uses predictive intelligence and real-time adaptability to optimize operations, reduce energy consumption, and extend equipment life.
Technology Overview
The patent-pending Cooling AI employs a hybrid deep learning model that integrates machine learning, neural networks, and digital twins. Acting as a supervisory layer over the existing Optimizer, it allows the building management system (BMS) to handle monitoring while the AI model anticipates and adapts to changing thermal loads. This setup enables proactive adjustments based on historical trends and HVAC operational physics.
Cooling AI continuously analyzes cooling demand and synchronizes chiller and fan performance. According to Airedale, the system can cut energy consumption by up to 40%, enhance power usage effectiveness (PUE), and support sustainability objectives. Reduced compressor cycling also lessens mechanical stress, potentially lowering maintenance costs and prolonging system lifespan.
Use Case and Market Context
Cooling AI is designed for hyperscale, colocation, and enterprise data centers, which are increasingly pressured to meet both rising computational demands and environmental targets. The system integrates seamlessly into Airedale’s broader portfolio of cooling technologies, which includes precision cooling units, high-efficiency chillers, and airflow management solutions.
“As AI-driven computing accelerates, the demand for smarter, scalable and highly efficient cooling infrastructure has never been higher, and it isn’t set to stop any time soon,” said Reece Thomas, Controls General Manager at Airedale by Modine. “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.”
The launch of Cooling AI reflects Airedale’s commitment to evolving with industry needs by embedding intelligence directly into data center cooling control systems.