This project aims to adopt AI technology to optimise chiller control for energy efficiency.

Real-time data collected from the central control and monitoring system (CCMS) on the operation of chillers, cooling towers, water pumps would be of help to identify energy saving opportunities. This is made possible by the machine learning capability of AI. It would conduct big data analysis on the characteristics and operation logs of the different components of the chiller plant, and would then make recommendations for system optimisation.