Model-based optimal control of VAV air-conditioning system using genetic algorithm

Shengwei Wang, Xinqiao Jin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

232 Citations (Scopus)


A control strategy using a system approach based on predicting the responses of overall system environment and energy performance to the changes of control settings of VAV air-conditioning systems is developed. Incremental dynamic models with 'self-tuning' of the VAV system are developed and used. A genetic algorithm is used by the strategy to solve the on-line optimisation problem of multiple parameters. The strategy is tested and evaluated in a simulated 'living' environment under various weather conditions.
Original languageEnglish
Pages (from-to)471-487
Number of pages17
JournalBuilding and Environment
Issue number6
Publication statusPublished - 1 Aug 2000

ASJC Scopus subject areas

  • Environmental Engineering
  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Building and Construction


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