Central chilled water system optimal supervisory controller and its online evaluation

Hua Meng, Shengwei Wang, Weiding Long

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

A real-time online optimal supervisory controller of a central chilled water system is developed and evaluated on the digital simulator. The controller can quickly forecast the optimal set points of different control variables with a genetic algorithm. The simulator shows that it can minimize the total energy consumed by the system in comparison with the fixed set points controller and the local supervisory controllers while still keeps the control stability.
Original languageChinese (Simplified)
Pages (from-to)808-812
Number of pages5
JournalTongji Daxue Xuebao/Journal of Tongji University
Volume34
Issue number6
Publication statusPublished - 1 Jun 2006

Keywords

  • Central air-conditioning system
  • Genetic algorithm
  • On-line evaluation
  • Supervisory controller

ASJC Scopus subject areas

  • Engineering(all)

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