Optimization of Chiller Operation Using Big Data Analytics and AI
| I&T Wish | Optimization of Chiller Operation Using Big Data Analytics and AI
(REF : W-0144) |
|||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matched I&T Solution | ||||||||||||||||
| Trial 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 Trial Duration | 24 months | |||||||||||||||
| Contact Information |
|
|||||||||||||||
| Upload Date | 2019-02-12 | |||||||||||||||
| Closing Date | 2019-02-26 | |||||||||||||||
| Propose I&T Solution | Closed |