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Design of segmented high-performance thermoelectric generators with cost in consideration

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  • Ouyang, Zhongliang
  • Li, Dawen

Abstract

In this study, state-of-the-art thermoelectric (TE) materials working between 300 K and 1000 K are cautiously selected, including materials in categories of Chalcogenides, SiGe alloy, Skutterudites and Half-Heuslers. The selection principle is an overall reflection of the figure of merit (ZT), compatibility factors and power factors of TE materials. These chosen TE materials are divided into four groups for construction of two kinds of segmented p-type TEG legs and two kinds of segmented n-type TEG legs. Built on different combinations of these segmented TE groups, thermoelectric generators (TEGs) have been systematically modelled to find out the best cost-performance ratios and the corresponding efficiencies, output power densities and TEG geometries as well. All the TE material properties input in the simulation are temperature-dependent and the electrical & thermal contact resistances have been taken into account for every TE-TE and TE-electrode interfaces. The results demonstrate that the successful segmentation of high-ZT TE materials rather than their counterparts with large power factors can offer a cost-performance ratio of ∼0.86 $ W−1, less than the commercially desired cost-effectiveness of 1 $ W−1, while maintaining an efficiency of 17.8% and delivering a power density over 3 Watt cm−2. These results not only confirm ZT as indeed the top criterion for choosing TE materials, but also predict the commercial feasibility and competitiveness of segmented TEGs in the same dollar per watt metrics as other renewable energy sources.

Suggested Citation

  • Ouyang, Zhongliang & Li, Dawen, 2018. "Design of segmented high-performance thermoelectric generators with cost in consideration," Applied Energy, Elsevier, vol. 221(C), pages 112-121.
    • Handle: RePEc:eee:appene:v:221:y:2018:i:c:p:112-121
    DOI: 10.1016/j.apenergy.2018.03.106
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    References listed on IDEAS

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    5. Alaa A. Zaky & Mohamed N. Ibrahim & Ibrahim B. M. Taha & Bedir Yousif & Peter Sergeant & Evangelos Hristoforou & Polycarpos Falaras, 2022. "Perovskite Solar Cells and Thermoelectric Generator Hybrid Array Feeding a Synchronous Reluctance Motor for an Efficient Water Pumping System," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    6. Ge, Ya & Lin, Yousheng & He, Qing & Wang, Wenhao & Chen, Jiechao & Huang, Si-Min, 2021. "Geometric optimization of segmented thermoelectric generators for waste heat recovery systems using genetic algorithm," Energy, Elsevier, vol. 233(C).
    7. Yang, Huizhu & Li, Mingxuan & Wang, Zehui & Ren, Fengsheng & Yang, Yue & Ma, Bijian & Zhu, Yonggang, 2023. "Performance optimization for a novel two-stage thermoelectric generator with different PCMs embedding modes," Energy, Elsevier, vol. 281(C).
    8. Zhang, Feng & Wang, Xinhe & Hou, Xinting & Han, Cheng & Wu, Mingying & Liu, Zhongbing, 2022. "Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system," Applied Energy, Elsevier, vol. 307(C).
    9. 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.
    10. Shittu, Samson & Li, Guiqiang & Xuan, Qindong & Zhao, Xudong & Ma, Xiaoli & Cui, Yu, 2020. "Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux," Energy, Elsevier, vol. 199(C).
    11. Chen, Wei-Hsin & Chiou, Yi-Bin, 2020. "Geometry design for maximizing output power of segmented skutterudite thermoelectric generator by evolutionary computation," Applied Energy, Elsevier, vol. 274(C).

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