Share

Evaluation of the suitability of empirically based models for the prediction of energy performance of liquid chillers.

Author(s) : LEE T. S., LU W. C.

Summary

This paper presents the results of comparing the suitability of six reported chiller performance models to be used for energy analysis. The data adopted to validate the models comprise of two broad classes including constant and variable chilled water flow rates. There are 373 sets of data in total. The optimal regression coefficient for each empirically based model is obtained by using the least square method. Criteria for evaluating the model suitability are based on the coefficient of variation of root-mean-square error (CVRMSE). The results show that among the six empirically based performance models for liquid chillers chosen in the study, the multivariate polynomial regression model possesses the best prediction accuracy. Its average CVRMSE value is around 0.66%. The results of the study could serve as a reference for the selection of empirically based models for liquid chillers when applied to the energy analysis of buildings.

Available documents

Format PDF

Pages: pp. 641-646

Available

  • Public price

    20 €

  • Member price*

    15 €

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Evaluation of the suitability of empirically based models for the prediction of energy performance of liquid chillers.
  • Record ID : 2010-0874
  • Languages: English
  • Source: ACRA-2009. The proceedings of the 4th Asian conference on refrigeration and air conditioning: May 20-22, 2009, Taipei, R.O.C.
  • Publication date: 2009/05/20

Links


See other articles from the proceedings (102)
See the conference proceedings

Indexing