Airedale by Modine has announced an AI-enhanced version of its Cooling System Optimizer, designed to improve cooling efficiency and reduce energy consumption for hyperscale, colocation, and enterprise data centers. According to Airedale by Modine, the new Cooling AI system delivers real-time adaptability and predictive intelligence, aiming to address the increasing complexity and demand for high-efficiency data center cooling controls.
The patent-pending Cooling AI solution incorporates a hybrid deep learning model that combines machine learning, neural networks, and digital twin technologies. It functions as a supervisory control layer atop the existing Optimizer platform, working alongside the building management system to provide proactive, data-driven adjustments. The AI continuously analyzes cooling demand, optimizes system operation, and predicts future thermal conditions. By referencing historical data and modeling HVAC performance, it seeks to maximize efficiency and operational stability.
Airedale by Modine claims Cooling AI can reduce data center energy consumption by up to 40 percent and improve Power Usage Effectiveness. The system synchronizes chiller and fan performance, resulting in less compressor cycling and lower mechanical stress, which can potentially extend equipment life and reduce maintenance costs. The solution is available for both new installations and as a retrofit for existing Airedale by Modine Cooling System Optimizer deployments.
The company positions Cooling AI as part of a broader portfolio of data center cooling technologies, including high-efficiency chillers, precision cooling units, modular fan walls, intelligent controls, and airflow management systems—all developed to optimize efficiency and enable scalable cooling for modern data center environments.
“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. “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.”
Source: Modine
