Refrigerant charge fault detection and diagnosis algorithm for water-to-water heat pump unit

Samuel Boahen, Kwang Ho Lee, Jong Min Choi

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Refrigerant charge faults have a great adverse effect on the performance of heat pumps and must therefore be detected and diagnosed early in real time. In this study, the effect of refrigerant charge faults on a water-to-water heat pump is experimentally investigated in cooling mode and heating mode at various outdoor entering water temperature conditions. The study showed that refrigerant undercharge affects the performance of water-to-water heat pump more in heating mode than in cooling mode. Results from the study are used to develop a refrigerant charge fault detection and diagnosis (FDD) algorithm that works using correlations and rule-based refrigerant fault characteristic charts. The FDD algorithm is able to detect refrigerant charge faults in the water-to-water heat pump within an error threshold of ±4.5% and ±1.1% in cooling mode and heating mode respectively.

Original languageEnglish
Article number545
JournalEnergies
Volume12
Issue number3
DOIs
Publication statusPublished - 2019 Feb 10
Externally publishedYes

Bibliographical note

Funding Information:
This research was funded by the Korea Government Ministry of Trade, Industry & Energy [No. 20163010111840]. This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (No. 20163010111840, Development of a high density and capacity geothermal heating and cooling system adopting SCWs for residential cluster homes).

Publisher Copyright:
© 2019 by the authors.

Keywords

  • Algorithm
  • Fault detection and diagnosis
  • Heat pump
  • Outdoor entering water temperature
  • Refrigerant charge

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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