Sydney International Airport Chilled Water Plant Optimization

The Sydney Airport Chilled Water Plant Optimization project by Exergenics and A.G. Coombs Advisory exemplifies excellence in HVAC innovation, leveraging machine learning, model predictive control, evolutionary optimization algorithms, and a purpose-built measurement and verification methodology specific to the chilled water plant. This project's success is attributed to its innovative approach, requiring no equipment upgrades or additional hardware, ensuring minimal disruption while delivering rapid implementation and measurable results. Traditional chilled water system tuning relies on manufacturer data as a proxy for optimal performance. This project significantly advances that approach by utilizing machine learning tools to determine real-time operational efficiency profiles of chillers, pumps, and cooling towers, which change over time due to wear and tear. As a result, the final control logic implemented on-site was optimized for actual field performance, rather than relying on static design parameters.

Keywords: Chilled Water Plant, Energy Efficiency, Optimization, Machine Learning, AI, CPO, Central Plant Optimization