| Trial Project |
Trial on Artificial Intelligence based Energy Management System for Air-conditioning Installations
(REF : P-0096)
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| Matched I&T Wish |
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| Matched I&T Solution |
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| Solution Feature |
- The objective of AI Energy Optimization Solution (“AI-EOS”) is to manage and optimize HVAC plants from a global point of view, and the re-commissioning process will be executed to search for energy saving opportunities.
- AI-EOS is different to the traditional BMS, where its focus usually on monitoring, scheduling and optimizing set of HVAC equipment independently.
- AI-EOS is to optimize the HVAC System with taking the consideration of the overall plant efficiency and the building cooling/heat load with the outdoor condition and energy input to the associated chillers/heat pumps/chilled water pumps/heating water pumps.
- With a global consideration of HVAC system status, AI-EOS will select optimal set points.
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| Trial Information |
| Trial Site |
: |
North Point Government Offices |
| Trial Scale |
: |
Project under planning |
| Trial Duration |
: |
Mar 2020 to May 2021 |
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| Final Report |
EMSD-M&V-P0096-W0208-S0219_Final.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | REC Green Technologies Company Limited |
| Address | : | Units A-D, 15/F, Goodman Kwai Chung, Logistics Centre, 585-609 Castle Peak Road, Kwai Chung, N.T., HK |
| Contact Person | : | Mr. Alvin Lai Kam Wing |
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Position | : | Manager
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Tel | : |
2619 8820
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Email | : |
kwlai@rec-eng.com
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Webpage | : |
www.rec-gt.com
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