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Design of segmented thermoelectric Peltier coolers by topology optimization

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  • Lundgaard, Christian
  • Sigmund, Ole

Abstract

A density-based topology optimization approach is used to optimize the cooling power and efficiency (coefficient of performance) of thermoelectric coolers by spatially distributing two different thermoelectric materials in a two dimensional design space. With basis in three numerical examples we identify important model parameters, such as the choice of objective function, the temperatures of the thermal reservoirs, the heat transfer rates and the available electrical energy. By using the topology optimization approach, we demonstrate that the cooling power and efficiency of thermoelectric coolers can be improved by 48.7% and 11.4%, respectively, compared to optimization results from in the literature.

Suggested Citation

  • Lundgaard, Christian & Sigmund, Ole, 2019. "Design of segmented thermoelectric Peltier coolers by topology optimization," Applied Energy, Elsevier, vol. 239(C), pages 1003-1013.
    • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:1003-1013
    DOI: 10.1016/j.apenergy.2019.01.247
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    References listed on IDEAS

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    1. 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.
    2. Chen, Wei-Hsin & Wu, Po-Hua & Lin, Yu-Li, 2018. "Performance optimization of thermoelectric generators designed by multi-objective genetic algorithm," Applied Energy, Elsevier, vol. 209(C), pages 211-223.
    3. Lundgaard, Christian & Sigmund, Ole, 2019. "Design of segmented off-diagonal thermoelectric generators using topology optimization," Applied Energy, Elsevier, vol. 236(C), pages 950-960.
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    4. 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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