| I&T Solution |
AI-based Chiller Optimization for District Cooling System (DCS)
(REF : S-1387)
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| Trial Project |
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| Solution Feature |
- Define energy baseline period and consumption for energy savings IPMVP based measurement and verification (M&V)
- Benchmark performance of system and equipment against past performance and industry best practices
- Identify key factors, gaps, and issues that impact energy consumption and AI model construction
- Plan and design deployment of an AI Data Analytics System (DAS) for DCS
- Manage energy service and bespoke M&V plan for AI Data Analytics System to ensure actual energy savings are realized
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| Trial Application and Expected Outcome |
- Background study report on the chiller plant that includes an analysis of the historical data, energy baseline of the chiller plant and health status verification of all existing sensors
- Supply, installation & setting up of new AI servers. Supply, installation & setting up of weather sensors and passenger flows sensing system in the Passenger Clearance Building.
- Interface works with the existing DCS SCADA system to facilitate data collection from the system and AI-based control signal feeding for system automation
- Setting up and optimize data model including equipment performance data, correlation analysis, accurate prediction of external factors, Reinforced learning of recommendations against energy consumption to improve ongoing ML/AI results and Provide setpoint recommendations and identify issues such as chiller fouling, low refrigerant charge, low water delta T, indoor temperatures
- Measurement and verification report of actual energy savings & Consultancy advice report.
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| Additional Solution Information |
LPS EMSD IT W-0457 proposal v1.1.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | PCCW Technical Services Limited |
| Address | : | Level 1, The Long Beach Commercial Podium, 8 Hoi Fai Road, Kowloon |
| Contact Person | : | Alfred Wong |
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Position | : | Senior Solution Manager
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Tel | : |
95501820
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Email | : |
alfred.sy.wong@pccw.com
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