• MODELING OF VAPOUR COMPRESSION LIQUID CHILLERS WITH NEURAL NETWORKS
  • 2012-02-28
A new approach to steady state modelling of vapour-compression liquid chillers is presented in thispaper. The model uses a generalised radial basis function (GRBF) neural network to predict chillerperformance. The GRBF chiller model is developed with the objective of requiring only those input parameters that are readily known to the operating engineer, i.e. the chilled water outlet temperature from the evaporator, the cooling water inlet temperature to the condenser, and the evaporator capacity. 附件下载
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