Chiller Plant Optimisation and Management by Artificial Intelligence

I&T Wish Chiller Plant Optimisation and Management by Artificial Intelligence
(REF : W-0049)
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 Trial Duration Anticipated Contract Start Date: 1/8/2018
Anticipated Completion Date: 1/8/2019
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:Ms Chan Wai Sheung
Position:Engineer
Tel: 2453 2433
Email: michellechan@emsd.gov.hk
Project Deliverables Development of AI for chiller plant optimisation and management
Publish Date 2018-08-28
Closing Date 2018-09-11