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Trial on Artificial Intelligence based Energy Management System for Air-conditioning Installations

Trial Project Trial on Artificial Intelligence based Energy Management System for Air-conditioning Installations
(REF: P-0096)
Matched I&T Wish Energy Management System on Air Side System with Artificial Intelligence Algorithms
(REF: W-0208)
Matched I&T Solution AI Energy Optimization Solution (“AI-EOS”) for HVAC System
(REF: S-0219)
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.
Trial Information
Trial Site : North Point Government Offices
Trial Scale : Project under planning
Trial Duration : Mar 2020 to May 2021
Final Report EMSD-M&V-P0096-W0208-S0219_Final.pdf
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
Position:Manager
Tel:2619 8820
Email: kwlai@rec-eng.com
Webpage: www.rec-gt.com
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