Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm

@inproceedings{Ma2011SupervisoryAO,
  title={Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm},
  author={Zhenjun Ma and Shengwei Wang},
  year={2011}
}
This paper presents a model-based supervisory and optimal control strategy for central chiller plants to enhance their energy efficiency and control performance. The optimal strategy is formulated using simplified models of major components and the genetic algorithm (GA). The simplified models are used as the performance predictors to estimate the system energy performance and response to the changes of control settings and working conditions. Since the accuracy of the models has significant… CONTINUE READING

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