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An Energy Graph-Based Approach to Fault Diagnosis of a Transcritical CO 2 Heat Pump

Author

Listed:
  • Kenneth R. Uren

    (School of Electrical, Electronic and Computer Engineering, North-West University, Potchefstroom 2520, South Africa)

  • George van Schoor

    (Unit for Energy and Technology Systems, Faculty of Engineering, Potchefstroom 2520, South Africa)

  • Martin van Eldik

    (School of Mechanical Engineering, North-West University, Potchefstroom 2520, South Africa)

  • Johannes J. A. de Bruin

    (School of Electrical, Electronic and Computer Engineering, North-West University, Potchefstroom 2520, South Africa)

Abstract

The objective of this paper is to describe an energy-based approach to visualize, identify, and monitor faults that may occur in a water-to-water transcritical CO 2 heat pump system. A representation using energy attributes allows the abstraction of all physical phenomena present during operation into a compact and easily interpretable form. The use of a linear graph representation, with heat pump components represented as nodes and energy interactions as links, is investigated. Node signature matrices are used to present the energy information in a compact mathematical form. The resulting node signature matrix is referred to as an attributed graph and is populated in such a way as to retain the structural information, i.e., where the attribute points to in the physical system. To generate the energy and exergy information for the compilation of the attributed graphs, a descriptive thermal–fluid model of the heat pump system is developed. The thermal–fluid model is based on the specifications of and validated to the actual behavioral characteristics of a physical transcritical CO 2 heat pump test facility. As a first step to graph-matching, cost matrices are generated to represent a characteristic residual between a normal system node signature matrix and a faulty system node signature matrix. The variation in the eigenvalues and eigenvectors of the characteristic cost matrices from normal conditions to a fault condition was used for fault characterization. Three faults, namely refrigerant leakage, compressor failure and gas cooler fouling, were considered. The paper only aims to introduce an approach, with the scope limited to illustration at one operating point and considers only three relatively large faults. The results of the proposed method show promise and warrant further work to evaluate its sensitivity and robustness for small faults.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1783-:d:342567
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    References listed on IDEAS

    as
    1. 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.
    2. Zhao, Yang & Li, Tingting & Zhang, Xuejun & Zhang, Chaobo, 2019. "Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 85-101.
    3. Chung-Won Cho & Ho-Seong Lee & Jong-Phil Won & Moo-Yeon Lee, 2012. "Measurement and Evaluation of Heating Performance of Heat Pump Systems Using Wasted Heat from Electric Devices for an Electric Bus," Energies, MDPI, vol. 5(3), pages 1-12, March.
    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.
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