Abstract
This paper proposed a hybrid model for water cooled centrifugal chiller. The modeling method takes advantages of both physical and empirical modeling approaches and can accurately predict performance in wide operating range and in real-time, which can significantly reduce the computational burden and increase the prediction accuracy. The model is verified with the experimental data taken from a testing system. The testing results show that the proposed model can predict accurately the performance of the real-time operating chiller. The developed models will have wide applications in operational optimization, performance assessment, fault detection and diagnosis.
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