Optimization of Chiller Operation Using Big Data Analytics and AI

Title of I&T Wish Optimization of Chiller Operation Using Big Data Analytics and AI
(REF : W-0144)
Project Summary and Challenges

We hope to apply big data analytics and AI on the efficient energy usage of chiller plants. By predictive analytics, the chiller operation setting can be optimised to achieve energy saving. Preference will be given to those technology providers who are cooperative and willing to share their proven machine learning models for optimal training of the AI model.

Expected Outcome Achieve energy saving by optimizing the operation settings of chillers using big data analytics and artificial intelligence
Expected Project Duration 24 months
Contact Information

Contact Person: Mr WAN Lap Hang

Position: Engineer

Tel: 31554070

Email: wanlh@emsd.gov.hk

Project Deliverables

Development of the AI model and application of big data analysis for optimal chiller operation