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On-site fault experiment and diagnosis research of the carbon dioxide transcritical heat pump system for energy saving

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  • Guo, Yabin
  • Li, Yuduo
  • Li, Weilin

Abstract

Carbon dioxide transcritical heat pump air conditioning has an excellent performance in heating conditions, and is a very potential heating alternative, which will help to improve the energy saving level of buildings. The occurrence of the fault will lead to an increase of energy consumption, damage of system components and other consequences. However, the current research focuses on the heat pump system with Freon as refrigerant, and the experimental research on the fault of the carbon dioxide transcritical heat pump system has not been studied. Therefore, this research carried out the operation experiment of the carbon dioxide heat pump with eight fault types under the actual conditions in winter. The operation characteristics under different fault conditions are analyzed. Based on the fault characteristics, a causality table is proposed, which can quickly identify the fault type when there are at least 6 characteristic variables. Besides, it is concluded that after the fault occurs, the energy consumption will increase directly or indirectly. Most of the faults will directly cause the decrease of system heating capacity and reduce indoor thermal comfort. The research results will contribute to the early identification of carbon dioxide system faults and the improvement of building energy efficiency.

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  • Guo, Yabin & Li, Yuduo & Li, Weilin, 2023. "On-site fault experiment and diagnosis research of the carbon dioxide transcritical heat pump system for energy saving," Energy, Elsevier, vol. 274(C).
  • Handle: RePEc:eee:energy:v:274:y:2023:i:c:s0360544223007995
    DOI: 10.1016/j.energy.2023.127405
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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. Guo, Yabin & Tan, Zehan & Chen, Huanxin & Li, Guannan & Wang, Jiangyu & Huang, Ronggeng & Liu, Jiangyan & Ahmad, Tanveer, 2018. "Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving," Applied Energy, Elsevier, vol. 225(C), pages 732-745.
    3. Austin, Brian T. & Sumathy, K., 2011. "Transcritical carbon dioxide heat pump systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4013-4029.
    4. Zhong, Fangliang & Calautit, John Kaiser & Wu, Yupeng, 2022. "Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change," Energy, Elsevier, vol. 258(C).
    5. Winkler, Jon & Das, Saptarshi & Earle, Lieko & Burkett, Lena & Robertson, Joseph & Roberts, David & Booten, Charles, 2020. "Impact of installation faults in air conditioners and heat pumps in single-family homes on U.S. energy usage," Applied Energy, Elsevier, vol. 278(C).
    6. Jiang, Jiatong & Hu, Bin & Wang, R.Z. & Deng, Na & Cao, Feng & Wang, Chi-Chuan, 2022. "A review and perspective on industry high-temperature heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    7. Aguilera, José Joaquín & Meesenburg, Wiebke & Ommen, Torben & Markussen, Wiebke Brix & Poulsen, Jonas Lundsted & Zühlsdorf, Benjamin & Elmegaard, Brian, 2022. "A review of common faults in large-scale heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Chen, Jianli & Zhang, Liang & Li, Yanfei & Shi, Yifu & Gao, Xinghua & Hu, Yuqing, 2022. "A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Livio de Santoli & Gianluigi Lo Basso & Davide Astiaso Garcia & Giuseppe Piras & Giulia Spiridigliozzi, 2019. "Dynamic Simulation Model of Trans-Critical Carbon Dioxide Heat Pump Application for Boosting Low Temperature Distribution Networks in Dwellings," Energies, MDPI, vol. 12(3), pages 1-20, February.
    10. Adamson, Keri-Marie & Walmsley, Timothy Gordon & Carson, James K. & Chen, Qun & Schlosser, Florian & Kong, Lana & Cleland, Donald John, 2022. "High-temperature and transcritical heat pump cycles and advancements: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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    1. Jia, Fan & Yin, Xiang & Cao, Feng & Fang, Jianmin & Wang, Anci & Wang, Xixi & Yang, Lichen, 2024. "A novel control method for the automotive CO2 heat pumps under inappropriate refrigerant charge conditions," Energy, Elsevier, vol. 286(C).

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