IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i3p545-d204625.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/3/545/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/3/545/
    Download Restriction: no
    ---><---

    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hongzeng Ji & Jinchen Pei & Jingyang Cai & Chen Ding & Fen Guo & Yichun Wang, 2023. "Review of Recent Advances in Transcritical CO 2 Heat Pump and Refrigeration Cycles and Their Development in the Vehicle Field," Energies, MDPI, vol. 16(10), pages 1-21, May.
    2. 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.
    3. Ignacio López Paniagua & Ángel Jiménez Álvaro & Javier Rodríguez Martín & Celina González Fernández & Rafael Nieto Carlier, 2019. "Comparison of Transcritical CO 2 and Conventional Refrigerant Heat Pump Water Heaters for Domestic Applications," Energies, MDPI, vol. 12(3), pages 1-17, February.
    4. Minglu, Qu & Rao, Zhang & Jianbo, Chen & Yuanda, Cheng & Xudong, Zhao & Tongyao, Zhang & Zhao, Li, 2020. "Experimental analysis of heat coupling during TES based reverse cycle defrosting method for cascade air source heat pumps," Renewable Energy, Elsevier, vol. 147(P1), pages 35-42.
    5. Jun Kwon Hwang & Patrick Nzivugira Duhirwe & Geun Young Yun & Sukho Lee & Hyeongjoon Seo & Inhan Kim & Mat Santamouris, 2020. "A Novel Hybrid Deep Neural Network Model to Predict the Refrigerant Charge Amount of Heat Pumps," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    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. Liu, Jiangyan & Wang, Jiangyu & Li, Guannan & Chen, Huanxin & Shen, Limei & Xing, Lu, 2017. "Evaluation of the energy performance of variable refrigerant flow systems using dynamic energy benchmarks based on data mining techniques," Applied Energy, Elsevier, vol. 208(C), pages 522-539.
    8. 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.
    9. Gao, Peng & Shao, Liang-Liang & Zhang, Chun-Lu, 2019. "Pressure boost thermochemical sorption heat pump cycle," Energy, Elsevier, vol. 169(C), pages 1090-1100.
    10. Yulong Song & Hongsheng Xie & Mengying Yang & Xiangyu Wei & Feng Cao & Xiang Yin, 2023. "A Comprehensive Assessment of the Refrigerant Charging Amount on the Global Performance of a Transcritical CO 2 -Based Bus Air Conditioning and Heat Pump System," Energies, MDPI, vol. 16(6), pages 1-21, March.
    11. Jiang, Ziqi & Tian, Yafen & Li, Kang & Zhao, Zhaorui & Liu, Ni & Zhang, Hua, 2024. "Research on refrigerant charge determination under different compressor speed and its effects on the performance of transcritical CO2 air-conditioning heat pump system in electric vehicle," Energy, Elsevier, vol. 296(C).
    12. Rajib Uddin Rony & Huojun Yang & Sumathy Krishnan & Jongchul Song, 2019. "Recent Advances in Transcritical CO 2 (R744) Heat Pump System: A Review," Energies, MDPI, vol. 12(3), pages 1-35, January.
    13. Kang Li & Jun Yu & Mingkang Liu & Dan Xu & Lin Su & Yidong Fang, 2020. "A Study of Optimal Refrigerant Charge Amount Determination for Air-Conditioning Heat Pump System in Electric Vehicles," Energies, MDPI, vol. 13(3), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:545-:d:204625. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.