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An evaluation of classical steady-state off-line linear parameter estimation methods applied to chiller performance data.

Author(s) : REDDY T. A., ANDERSEN K. K.

Type of article: Article

Summary

The authors evaluated different inverse methods with application to off-line model parameter estimation using data from a field-operated chiller. In HVAC&R data analysis, there is sometimes a need to evaluate and use estimation techniques that are more subtle than the ordinary least square (OLS) method. One example is in fault detection and diagnosis of HVAC&R equipment and systems using performance data obtained from field monitoring. By identifying a better performance model, the fault detection process is more likely to be refined and accurate. In the paper a number of exploratory, diagnostic, and classical estimation methods are reviewed to determine the circumstances in which they are likely to be superior to the OLS method. These methods are then evaluated using monitored data from a field-operated chiller. The study provides a reference on parameter estimation methods for the HVAC&R community.

Details

  • Original title: An evaluation of classical steady-state off-line linear parameter estimation methods applied to chiller performance data.
  • Record ID : 2003-1977
  • Languages: English
  • Source: HVAC&R Research - vol. 8 - n. 1
  • Publication date: 2002/01
  • Document available for consultation in the library of the IIR headquarters only.

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