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Parameter analysis and optimal design for two-stage thermoelectric cooler

Author

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  • Wang, Tian-Hu
  • Wang, Qiu-Hong
  • Leng, Chuan
  • Wang, Xiao-Dong

Abstract

The objective of this work is to examine the parameter sensitivity and optimize the cooling performance of two-stage thermoelectric cooler (TEC). Firstly, a multiphysics model is used to investigate the effects of geometry parameters and applied currents on the performance of a two-stage TEC. Specially, cross-sectional area ratio of the p-type leg to the leg pair χ and height ratio of the cold stage leg to the two stage legs δ are explored, which have never been investigated in previous studies. Secondly, a simplified conjugated-gradient method is coupled into the multiphysics model to optimize the four key geometric parameters and two applied currents supplied to hold and cold stages, for seeking the maximum cooling capacity. The results of individual parameter analysis mainly show that the optimal χ does not depend on the geometric structure and applied currents of TEC, while it is only determined by the p-type and n-type semiconductor materials. The height ratio δ always plays the role to adjust the temperature between the cold and hot stages, resulting in that the both stages could operate at the proper temperature differences matching with their respective applied current. The optimization results show that the maximum cooling capacity Qc,c at ΔT=0, 20, 40, and 60K is enhanced by 19.62%, 21.30%, 25.49%, and 43.83%, respectively, as compared with the initial design. When ΔT increases from 0K to 40K, the change for each parameter in the optimal set is not larger than 1.8%, indicating that once the optimal design is obtained at a specific ΔT, it can be safely used at any other ΔT.

Suggested Citation

  • Wang, Tian-Hu & Wang, Qiu-Hong & Leng, Chuan & Wang, Xiao-Dong, 2015. "Parameter analysis and optimal design for two-stage thermoelectric cooler," Applied Energy, Elsevier, vol. 154(C), pages 1-12.
    • Handle: RePEc:eee:appene:v:154:y:2015:i:c:p:1-12
    DOI: 10.1016/j.apenergy.2015.04.104
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    7. Lv, Hao & Wang, Xiao-Dong & Wang, Tian-Hu & Cheng, Chin-Hsiang, 2016. "Improvement of transient supercooling of thermoelectric coolers through variable semiconductor cross-section," Applied Energy, Elsevier, vol. 164(C), pages 501-508.
    8. Liu, Di & Zhao, Fu-Yun & Yang, Hongxing & Tang, Guang-Fa, 2015. "Theoretical and experimental investigations of thermoelectric heating system with multiple ventilation channels," Applied Energy, Elsevier, vol. 159(C), pages 458-468.
    9. Yin, Tao & He, Zhi-Zhu, 2021. "Analytical model-based optimization of the thermoelectric cooler with temperature-dependent materials under different operating conditions," Applied Energy, Elsevier, vol. 299(C).
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    12. Erro, I. & Aranguren, P. & Alzuguren, I. & Chavarren, D. & Astrain, D., 2023. "Experimental analysis of one and two-stage thermoelectric heat pumps to enhance the performance of a thermal energy storage," Energy, Elsevier, vol. 285(C).
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    15. Liu, Xun & Zhang, Chen-Feng & Zhou, Jian-Gang & Xiong, Xin & Wang, Yi-Ping, 2022. "Thermal performance of battery thermal management system using fins to enhance the combination of thermoelectric Cooler and phase change Material," Applied Energy, Elsevier, vol. 322(C).
    16. Shittu, Samson & Li, Guiqiang & Zhao, Xudong & Ma, Xiaoli, 2020. "Review of thermoelectric geometry and structure optimization for performance enhancement," Applied Energy, Elsevier, vol. 268(C).
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    18. Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Integrated TEG-TEC and variable coolant flow rate controller for temperature control and energy harvesting," Energy, Elsevier, vol. 159(C), pages 448-456.

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