Wang, S.; Jin, X.
August 2000
Building and Environment, vol 35-6, p. 471-487
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 optimization problem of multiple parameters. The strategy is tested and evaluated in a simulated `living' environment under various weather conditions.
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