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A prediction method for overall economic value of fault detection and diagnostic tools for rooftop and split systems.

Number: pap. 2364

Author(s) : YUILL D. P., BRAUN J. E.

Summary

Fault detection and diagnostics (FDD) tools for air-conditioning application may perform well or poorly, but it is difficult to characterize this performance in a meaningful way. Some recently proposed evaluation techniques have provided various statistics to characterize FDD performance, but these results can be difficult for a potential adopter of FDD to understand. A new method of characterizing FDD performance by predicting the overall economic value of the FDD tool is proposed in this paper. It is applicable to FDD tools intended for air-cooled unitary air-conditioners, such as rooftop units (RTU) and split systems. The method gives an estimated dollar value, normalized per nominal ton of capacity, for a specific FDD tool when applied in a typical scenario. This is accomplished by considering a large set of variables that affect the tool’s value: probabilities of fault occurrence (both type and intensity) and operating conditions during FDD deployment; energy impact of each fault scenario; fault-induced loss of equipment life, and costs associated with addressing faults. Some case studies of FDD tools currently in use are presented to demonstrate the method. These tools have a surprising range of value.

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Pages: 8 p.

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Details

  • Original title: A prediction method for overall economic value of fault detection and diagnostic tools for rooftop and split systems.
  • Record ID : 30018793
  • Languages: English
  • Source: 2016 Purdue Conferences. 16th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2016/07/11

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