Intelligent Districts: Optimizing District Cooling with AI
About this ebook
However, the complexity of modern urban cooling—characterized by fluctuating energy prices, variable occupancy patterns, and the urgent need for decarbonization—demands a more dynamic approach. This is where Artificial Intelligence and Machine Learning step in.
Intelligent Districts: Optimizing District Cooling with AI explores the intersection of thermal engineering and data science. This book is born out of the necessity to bridge the gap between the mechanical "iron" of the plant and the digital "intelligence" of the algorithm. We move beyond simple automation to examine how machine-learning algorithms can predict demand, optimize chilled-water distribution in real-time, and transform a passive infrastructure into a self-optimizing grid.
The goal of this work is to provide a roadmap for the next generation of district cooling: one that is leaner, smarter, and significantly more sustainable.
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About the author
Charles Nehme is a highly respected global HVAC and MEP (Mechanical, Electrical, and Plumbing) Consultant, bringing over 30 years of extensive international experience to the field. His career spans a diverse range of applications, including complex industrial facilities, large-scale commercial developments, and intricate residential projects across various global markets.
With a profound understanding of building systems and a commitment to innovative solutions, Charles Nehme has established himself as a leading authority in ensuring optimal performance, safety, and energy efficiency in built environments worldwide. His vast expertise, honed over decades of practical application and consultancy, makes him uniquely qualified to address the critical subject of modern ventilation and district cooling systems.
