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

被引：223
|
作者：
Wang, SW [1 ]
Jin, XQ [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China
来源：
BUILDING AND ENVIRONMENT | 2000年 / 35卷 / 06期
关键词：
D O I：
10.1016/S0360-1323(99)00032-3
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：471 / 487
页数：17
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