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Fault Detection Algorithm for Multiple-Simultaneous Refrigerant Charge and Secondary Fluid Flow Rate Faults in Heat Pumps

Author

Listed:
  • Samuel Boahen

    (Department of Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Kumasi AK-039-5028, Ghana)

  • Kwesi Mensah

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

  • Selorm Kwaku Anka

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

  • Kwang Ho Lee

    (Department of Architecture, Korea University, Seoul 02741, Korea)

  • Jong Min Choi

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

Abstract

The detection and diagnosis of faults is becoming necessary in ensuring energy savings in heat pump units. Faults can exist independently or simultaneously in heat pumps at the refrigerant side and secondary fluid flow loops. In this work, we discuss the effects that simultaneous refrigerant charge faults and faults associated with the flow rate of secondary fluids have on the performance of a heat pump operating in summer season and we developed a correlation to detect and diagnose these faults using multiple linear regression. The faults considered include simultaneous refrigerant charge and indoor heat exchanger secondary fluid flow rate faults (IFRFs), simultaneous refrigerant charge and outdoor heat exchanger secondary fluid flow rate faults (OFRFs) and simultaneous refrigerant charge, IFRF and OFRF. The occurrence of simultaneous refrigerant charge fault, IFRF and OFRF caused up to a 5.7% and 8% decrease in cooling capacity compared to simultaneous refrigerant charge and indoor heat exchanger secondary fluid flow rate faults, and simultaneous refrigerant charge and outdoor heat exchanger secondary fluid flow rate faults, respectively. Simultaneous refrigerant charge fault, IFRF and OFRF resulted in up to an 11.6% and 5.9% decrease in COP of the heat pump unit compared to simultaneous refrigerant charge fault and IFRF, and simultaneous refrigerant charge fault and OFRF, respectively. The developed FDD correlations accurately predicted the simultaneous refrigerant charge and faults in the flow rate of the secondary fluid within an error margin of 7.7%.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3877-:d:583601
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    References listed on IDEAS

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    1. Eom, Yong Hwan & Yoo, Jin Woo & Hong, Sung Bin & Kim, Min Soo, 2019. "Refrigerant charge fault detection method of air source heat pump system using convolutional neural network for energy saving," Energy, Elsevier, vol. 187(C).
    2. 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.
    3. 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.
    4. 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.
    5. Antonio Gálvez & Alberto Diez-Olivan & Dammika Seneviratne & Diego Galar, 2021. "Fault Detection and RUL Estimation for Railway HVAC Systems Using a Hybrid Model-Based Approach," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
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