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Refrigerant Charge Fault Detection and Diagnosis Algorithm for Water-to-Water Heat Pump Unit

Author

Listed:
  • Samuel Boahen

    (Graduate School of Mechanical Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Kwang Ho Lee

    (Department of Architectural Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Jong Min Choi

    (Department of Mechanical Engineering, Hanbat National University, Daejeon 34158, Korea)

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.

Suggested Citation

  • Samuel Boahen & Kwang Ho Lee & Jong Min Choi, 2019. "Refrigerant Charge Fault Detection and Diagnosis Algorithm for Water-to-Water Heat Pump Unit," Energies, MDPI, vol. 12(3), pages 1-25, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:545-:d:204625
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    References listed on IDEAS

    as
    1. Choi, Hangseok & Cho, Honghyun & Choi, Jong Min, 2012. "Refrigerant amount detection algorithm for a ground source heat pump unit," Renewable Energy, Elsevier, vol. 42(C), pages 111-117.
    2. Ze Zhang & Xiaojun Dong & Zheng Ren & Tianwei Lai & Yu Hou, 2017. "Influence of Refrigerant Charge Amount and EEV Opening on the Performance of a Transcritical CO 2 Heat Pump Water Heater," Energies, MDPI, vol. 10(10), pages 1-14, October.
    3. Chae, Jung-Hoon & Choi, Jong Min, 2015. "Evaluation of the impacts of high stage refrigerant charge on cascade heat pump performance," Renewable Energy, Elsevier, vol. 79(C), pages 66-71.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Abdellatif Elmouatamid & Brian Fricke & Jian Sun & Philip W. T. Pong, 2023. "Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches," Energies, MDPI, vol. 16(12), pages 1-20, June.
    2. Bode, Gerrit & Thul, Simon & Baranski, Marc & Müller, Dirk, 2020. "Real-world application of machine-learning-based fault detection trained with experimental data," Energy, Elsevier, vol. 198(C).
    3. Antonio Rosato & Marco Savino Piscitelli & Alfonso Capozzoli, 2023. "Data-Driven Fault Detection and Diagnosis: Research and Applications for HVAC Systems in Buildings," Energies, MDPI, vol. 16(2), pages 1-6, January.
    4. Samuel Boahen & Kwesi Mensah & Yujin Nam & Jong Min Choi, 2020. "Fault Detection Methodology for Secondary Fluid Flow Rate in a Heat Pump Unit," Energies, MDPI, vol. 13(11), pages 1-17, June.
    5. Samuel Boahen & Kwesi Mensah & Selorm Kwaku Anka & Kwang Ho Lee & Jong Min Choi, 2021. "Fault Detection Algorithm for Multiple-Simultaneous Refrigerant Charge and Secondary Fluid Flow Rate Faults in Heat Pumps," Energies, MDPI, vol. 14(13), pages 1-19, June.
    6. Kenneth R. Uren & George van Schoor & Martin van Eldik & Johannes J. A. de Bruin, 2020. "An Energy Graph-Based Approach to Fault Diagnosis of a Transcritical CO 2 Heat Pump," Energies, MDPI, vol. 13(7), pages 1-34, April.
    7. Boahen, Samuel & Anka, Selorm Kwaku & Lee, Kwang Ho & Choi, Jong Min, 2021. "Performance analysis of cascade multi-functional heat pump in summer season," Renewable Energy, Elsevier, vol. 163(C), pages 1001-1011.

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