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Performance analysis of a thermally regenerative electrochemical refrigerator

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  • Li, Baode
  • Long, Rui
  • Liu, Zhichun
  • Liu, Wei

Abstract

Performance analysis and optimization of a thermally regenerative electrochemical refrigerator (TRER) are investigated based on finite time analysis. The general expressions of some important parameters of TRER are derived. The χ figure of merit considers both the coefficient of performance (COP) and cooling load rate, which can be seen as a compromise between maximum cooling load rate and maximum COP. Based on this, the traditional region between both can be divided into two more specific performance regions that represent two different operating demands. Under the maximum χ figure of merit, the impacts of the cell material's characteristics, heat conductance of heat exchangers, and heat reservoir temperature ratio on the corresponding cooling load rate and COP are analyzed in detail. Results reveal that materials with larger isothermal coefficient, specific charging/discharging capacity, lower internal resistance, and specific heat correspond to higher cooling load rate and extracted COP. Better heat exchange performance of the regenerator increases cooling load rate and power input; however, it does not guarantee a higher corresponding COP. We expect this work to contribute to designing and operating high performance TRER devices.

Suggested Citation

  • Li, Baode & Long, Rui & Liu, Zhichun & Liu, Wei, 2016. "Performance analysis of a thermally regenerative electrochemical refrigerator," Energy, Elsevier, vol. 112(C), pages 43-51.
  • Handle: RePEc:eee:energy:v:112:y:2016:i:c:p:43-51
    DOI: 10.1016/j.energy.2016.06.045
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    3. Al-Nimr, Moh'd A. & Dawahdeh, Ahmad I. & Ali, Hussain A., 2022. "Power generation by integrating a thermally regenerative electrochemical cycle (TREC) with a solar pond and underground heat exchanger," Renewable Energy, Elsevier, vol. 189(C), pages 663-675.
    4. Dawahdeh, Ahmad I. & Al-Nimr, Moh'd.A., 2023. "A novel energy harvesting and battery thermal management in hybrid vehicles using a thermally regenerative electrochemical device," Energy, Elsevier, vol. 270(C).
    5. Tang, Xin & Li, Guiqiang & Zhao, Xudong & Shi, Kai & Lao, Li, 2022. "Simulation analysis and experimental validation of enhanced photovoltaic thermal module by harnessing heat," Applied Energy, Elsevier, vol. 309(C).

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