|Title of I&T Wish||Chiller Plant Optimisation and Management by Artificial Intelligence
(REF : W-0049)
|Project Summary and Challenges||
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.
|Expected Outcome||This project aims to adopt AI technology to optimize chiller control for energy efficiency.|
|Expected Project Duration||
Anticipated Contract Start Date: 1/8/2018
Anticipated Completion Date: 1/8/2019
Name: Ms Chan Wai Sheung
Tel: 2453 2433
|Project Deliverables||Development of AI for chiller plant optimisation and management|
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