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

A control strategy using a system approach based on predicting the response s of overall system environment and energy performance to the changes of co ntrol settings of VAV air-conditioning systems is developed. Incremental dy namic 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 optimisatio n 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.