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A comparison of empirically based steady-state models for vapor-compression liquid chillers.

Author(s) : SWIDER D. J.

Type of article: Article

Summary

A multilayer perceptron neural network model is introduced. The models predict the coefficient of performance by only using input variables that are readily known to the operating engineer. They were applied to two different chillers operating at the University of Auckland, New Zealand. The comparison demonstrated that neural networks show higher generalization abilities and at least equal forecast results compared with the regression models.

Details

  • Original title: A comparison of empirically based steady-state models for vapor-compression liquid chillers.
  • Record ID : 2003-2756
  • Languages: English
  • Source: Applied Thermal Engineering - vol. 23 - n. 5
  • Publication date: 2003/04

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