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Dynamic performance analysis of a cascaded thermoelectric generator

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  • Shen, Rong
  • Gou, Xiaolong
  • Xu, Haoyu
  • Qiu, Kuanrong

Abstract

Due to its advantages of small size, wide adaptability and high reliability, thermoelectric power generation (TEG) technology is attracting more and more attention in the application prospects of distributed energy, waste heat recovering and clean electricity supply. However, the promotion of the TEG is hindered by its low energy conversion efficiency which has become the most urgent problem in the TEG system. In order to achieve higher efficiency, a novel cascaded thermoelectric generator system (CTEG) with three-stage thermoelectric generators and its dynamic models based on the energy conservation equation, unsteady heat conduction theory and fluid dynamics were proposed and built. Through experimental data and numerical results, the system dynamic performance and the key parameters which affect the characteristics of the TEG system were analyzed. The results show that the efficiency of the new cascaded TEG system is greatly improved by 21.56% compared with the system with single-stage TEG. Furthermore, this study puts forward guidance for system improvement, and it is encouraging that a more appropriate system configuration could be an important means to further increase the system efficiency. Moreover, this dynamic simulation model can be used in the system design and operating improvement.

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  • Shen, Rong & Gou, Xiaolong & Xu, Haoyu & Qiu, Kuanrong, 2017. "Dynamic performance analysis of a cascaded thermoelectric generator," Applied Energy, Elsevier, vol. 203(C), pages 808-815.
    • Handle: RePEc:eee:appene:v:203:y:2017:i:c:p:808-815
    DOI: 10.1016/j.apenergy.2017.06.108
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    References listed on IDEAS

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    Cited by:

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    2. Fernández-Yáñez, P. & Armas, O. & Kiwan, R. & Stefanopoulou, A.G. & Boehman, A.L., 2018. "A thermoelectric generator in exhaust systems of spark-ignition and compression-ignition engines. A comparison with an electric turbo-generator," Applied Energy, Elsevier, vol. 229(C), pages 80-87.
    3. Yin, Ershuai & Li, Qiang & Xuan, Yimin, 2019. "Feasibility analysis of a concentrating photovoltaic-thermoelectric-thermal cogeneration," Applied Energy, Elsevier, vol. 236(C), pages 560-573.
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    5. Zhu, Xingzhuang & Zuo, Zhengxing & Wang, Wei & Jia, Boru & Zhan, Tianzhuo, 2023. "Experimental research and optimization of a thermoelectric generator excited by pulsed combustion mode under limited heat dissipation for combined heat and power supply," Applied Energy, Elsevier, vol. 349(C).
    6. Fan, Shifa & Gao, Yuanwen, 2019. "Numerical analysis on the segmented annular thermoelectric generator for waste heat recovery," Energy, Elsevier, vol. 183(C), pages 35-47.
    7. Aljaghtham, Mutabe & Celik, Emrah, 2022. "Design of cascade thermoelectric generation systems with improved thermal reliability," Energy, Elsevier, vol. 243(C).
    8. Ma, Xiaonan & Shu, Gequn & Tian, Hua & Xu, Wen & Chen, Tianyu, 2019. "Performance assessment of engine exhaust-based segmented thermoelectric generators by length ratio optimization," Applied Energy, Elsevier, vol. 248(C), pages 614-625.
    9. Liu, Junrong & Wang, Zhe & Shi, Kaiyuan & Li, Yiqiang & Liu, Longxu & Wu, Xingru, 2020. "Analysis and modeling of thermoelectric power generation in oil wells: A potential power supply for downhole instruments using in-situ geothermal energy," Renewable Energy, Elsevier, vol. 150(C), pages 561-569.

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