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Thermal cycling of thermoelectric generators: The effect of heating rate

Author

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  • Merienne, R.
  • Lynn, J.
  • McSweeney, E.
  • O'Shaughnessy, S.M.

Abstract

Thermoelectric generators, or TEGs, are solid state devices which can convert heat directly into electricity according to the Seebeck effect. When thermoelectric generators are subjected to thermal cycling they can undergo severe performance degradation. In this study, an experimental rig is constructed which is capable of thermally cycling the heat delivered to commercially available thermoelectric generators. An experimental investigation is undertaken to elucidate the effects of the cycling and heating rate on the power generation performance of the generators over time. Three generator modules of the same specifications were subjected to different heating rates. The figure of merit, the electrical power output, the effective Seebeck coefficient and the internal resistance of the generators are measured to assess the evolution of the modules’ performance over 600 heating and cooling cycles. It is determined that all thermoelectric generators display power generation performance reductions, and that faster thermal cycling rates lead to both faster performance degradation and an overall greater performance drop. It is observed that the reduction of the figure of merit and power generation performance is primarily due to the increase of the internal resistance of the thermoelectric generators.

Suggested Citation

  • Merienne, R. & Lynn, J. & McSweeney, E. & O'Shaughnessy, S.M., 2019. "Thermal cycling of thermoelectric generators: The effect of heating rate," Applied Energy, Elsevier, vol. 237(C), pages 671-681.
  • Handle: RePEc:eee:appene:v:237:y:2019:i:c:p:671-681
    DOI: 10.1016/j.apenergy.2019.01.041
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    References listed on IDEAS

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    5. Gao, Junling & Tang, Kechen & Yan, Yonggao & Zhang, Shimin, 2020. "New method for quickly measuring the maximum conversion power of a thermoelectric module/generator," Energy, Elsevier, vol. 197(C).
    6. Yang, Bo & Zeng, Chunyuan & Li, Danyang & Guo, Zhengxun & Chen, Yijun & Shu, Hongchun & Cao, Pulin & Li, Zilin, 2022. "Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 325(C).

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