New Search

Export article
Open Access

Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics

, Piljae Im, Yeonjin Bae, Jeff Munk, Teja Kuruganti, Brian Fricke
Published: 27 May 2021
Scientific Data , Volume 8, pp 1-10; doi:10.1038/s41597-021-00927-6

Abstract: HVAC and refrigeration system fault detection and diagnostics (FDD) has attracted extensive studies for decades; however, FDD of supermarket refrigeration systems has not gained significant attention. Supermarkets consume around 50 kWh/ft2 of electricity annually. The biggest consumer of energy in a supermarket is its refrigeration system, which accounts for 40%–60% of its total electricity usage and is equivalent to about 2%–3% of the total energy consumed by commercial buildings in the United States. Also, the supermarket refrigeration system is one of the biggest consumers of refrigerants. Reducing refrigerant usage or using environmentally friendly alternatives can result in significant climate benefits. A challenge is the lack of publicly available data sets to benchmark the system performance and record the faulted performance. This paper identifies common faults of supermarket refrigeration systems and conducts an experimental study to collect the faulted performance data and analyze these faults. This work provides a foundation for future research on the development of FDD methods and field automated FDD implementation.
Keywords: Energy conservation / Energy efficiency / Science / Humanities and Social Sciences / multidisciplinary

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

Share this article

Click here to see the statistics on "Scientific Data" .
References (13)
    Cited by 1 articles
      Back to Top Top