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Demonstration of fault detection and diagnosis methods of air-handling units (ASHRAE 1020-RP).

Author(s) : NORFORD L. K., WRIGHT J. A., BUSWELL R. A., et al.

Type of article: Article

Summary

Results are presented from controlled field tests of two methods for detecting and diagnosing faults in HVAC equipment. The tests were conducted in a unique research building that featured two air-handling units serving matched sets of unoccupied rooms with adjustable internal loads. Tests were also conducted in the same building on a third air handler serving areas used for instruction and by building staff. One of the two fault detection and diagnosis (FDD) methods used first-principles-based models of system components. The data used by this approach were obtained from sensors typically installed for control purposes. The second method was based on semi empirical correlations of submetered electrical power with flow rates or process control signals. The tests are related. Both methods were found to require further work in three principal areas: to reduce the number of parameters to be identified; to assess the impact of less expensive or fewer sensors; and to further automate their implementation. The first-principles-based models also require further work to improve the robustness of predictions.

Details

  • Original title: Demonstration of fault detection and diagnosis methods of air-handling units (ASHRAE 1020-RP).
  • Record ID : 2003-1953
  • 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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