| Trial Project |
Artificial Intelligence (AI) Fresh Air Energy Saving Control with People Counting
(REF: P-0175) |
| Matched I&T Wish |
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| Matched I&T Solution |
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| Solution Feature |
- This system is an integrated platform empowered by latest Artificial Intelligence (AI), Big Data technologies, Building Information Model (BIM) and Internet of Things (IoT) to conduct building performance visualization and building operation strategy optimization. AI-based air side optimization is one of the features enabled by this system.
- The building operation optimization system settings should be based on dynamic environment parameters such as occupancy, event schedule and outdoor environment. This system takes all these various parameters in consideration for a comprehensive Machine Learning model to uncover hidden patterns and provide operation suggestions.
- Footfall data will be collected from people counting camera or video analytics on typical CCTV, which will mainly influence the cooling load demand forecast result. The real-time detected people-counting information including daily footfall data, peak time, etc. are pushed into built ML models for insights derivation.
- Genetic algorithm (GA) will be implemented to find the optimal solution to minimize energy consumption of fresh air equipment while satisfy cooling load requirements to maintain comfort level. It is a natural-selection-based algorithm which finds optimal offspring by simulating evolution process.
- This system’s centralized data repository is able to be connected with external business intelligence portals like Tableau and Power BI to conduct data visualization. AI analysis results are processed in Tableau/ Power BI to show setting suggestions through display portal.
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| Trial Information |
| Trial Site |
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EMSD Headquarters |
| Trial Scale |
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1 no. of system |
| Trial Duration |
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Feb 2021 to May 2022 |
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| Final Report |
EMSD-M&V-P0175-W0259-S0568_Final.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Ove Arup & Partners Hong Kong Limited | | Address | : | Level 5 Festival Walk 80 Tat Chee Avenue, Kowloon Tong, Kowloon Hong Kong | | Contact Person | : | Tracy Yeung |
| Position | : | Consultant | | Tel | : | 2908 4364 | | Email | : |
tracy.yeung@arup.com |
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