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

Shengwei Wang; Xinqiao Jin

doi:10.1016/S0360-1323(99)00032-3

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

Shengwei Wang
, Xinqiao Jin

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

250 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	471-487
Number of pages	17
Journal	Building and Environment
Volume	35
Issue number	6
DOIs	https://doi.org/10.1016/S0360-1323(99)00032-3
Publication status	Published - 1 Aug 2000

ASJC Scopus subject areas

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

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10.1016/S0360-1323(99)00032-3

Cite this

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AB - 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.

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

Abstract

ASJC Scopus subject areas

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