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Geometry optimization of two-stage thermoelectric generators using simplified conjugate-gradient method

Author

Listed:
  • Liu, Zhichun
  • Zhu, Shiping
  • Ge, Ya
  • Shan, Feng
  • Zeng, Lingping
  • Liu, Wei

Abstract

Thermoelectric devices can convert thermal energy directly into electrical energy. The aim of this study was to develop an approach for integrating computer-aided analysis with an optimization method that could be applied to the design and optimization of thermoelectric generators. The optimization framework consisted of a model generator, a direct solver, and a numerical optimizer. The simplified conjugate-gradient method (SCGM) was used to build the optimizer, and the general-purpose finite-element code was used for the direct solver and model generator. This approach was applied to the multi-objective and multi-parameter optimization of geometric thermoelectric generators to design an optimal structure for both a two-stage bismuth-telluride (BiTe)-based and skutterudite-based thermoelectric generator (TEG) module. The leg length and the ratio between the cross-sectional areas (i.e., footprint) of the semiconductor columns and the TEG module were found to significantly affect the TEG performance; hence, all were incorporated into the present optimization study. Multi-objective optimization was used to realize a design that properly balanced the power output and conversion efficiency so that both improved simultaneously.

Suggested Citation

  • Liu, Zhichun & Zhu, Shiping & Ge, Ya & Shan, Feng & Zeng, Lingping & Liu, Wei, 2017. "Geometry optimization of two-stage thermoelectric generators using simplified conjugate-gradient method," Applied Energy, Elsevier, vol. 190(C), pages 540-552.
    • Handle: RePEc:eee:appene:v:190:y:2017:i:c:p:540-552
    DOI: 10.1016/j.apenergy.2017.01.002
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    References listed on IDEAS

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