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Optimization analysis of a segmented thermoelectric generator based on genetic algorithm

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  • Zhu, Lei
  • Li, Huaqi
  • Chen, Sen
  • Tian, Xiaoyan
  • Kang, Xiaoya
  • Jiang, Xinbiao
  • Qiu, Suizheng

Abstract

Optimizing the geometry structures and operating conditions is an effective way to improve the performance of the segmented thermoelectric generator (STEG). A one-dimensional numerical model combined with genetic algorithm (GA) is presented for performance analysis and design optimization of the STEG. The model’s predictions being in good agreement with experimental data in the published literature confirms the accuracy of the model. According to the compatibility factors, the Ba0.4ln0.4CoSb12, Bi2Te0.7Se0.3, Zn4Sb3 and Bi2Te3 are selected as materials for segments of N1, N2, P1, and P2, respectively. The p-segmented TEG is recommended through performance comparison between STEGs with four different structures. After that, the load following region and rated operating point are given, through load following characteristic analysis. At last, the effect of contact resistance on the performance of the STEG is analyzed. The analysis results show that, by reducing the contact resistance to 50 μΩ cm2 per leg, the peak conversion efficiency of the p-segmented TEG proposed in this paper can reach 9.83% at a temperature difference of 350 K, which is 25.4% higher than that of traditional thermoelectric generator.

Suggested Citation

  • Zhu, Lei & Li, Huaqi & Chen, Sen & Tian, Xiaoyan & Kang, Xiaoya & Jiang, Xinbiao & Qiu, Suizheng, 2020. "Optimization analysis of a segmented thermoelectric generator based on genetic algorithm," Renewable Energy, Elsevier, vol. 156(C), pages 710-718.
    • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:710-718
    DOI: 10.1016/j.renene.2020.04.120
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    References listed on IDEAS

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    1. Saidur, R. & Rezaei, M. & Muzammil, W.K. & Hassan, M.H. & Paria, S. & Hasanuzzaman, M., 2012. "Technologies to recover exhaust heat from internal combustion engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5649-5659.
    2. Li-Dong Zhao & Shih-Han Lo & Yongsheng Zhang & Hui Sun & Gangjian Tan & Ctirad Uher & C. Wolverton & Vinayak P. Dravid & Mercouri G. Kanatzidis, 2014. "Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals," Nature, Nature, vol. 508(7496), pages 373-377, April.
    3. Zhu, Lei & Jiang, Xinbiao & Li, Huaqi & Kang, Xiaoya & Tian, Xiaoyan & Chen, Sen & Qiu, Suizheng, 2020. "Optimization of vapor anode multi-tube alkali metal thermoelectric converter based on an integrated model," Applied Energy, Elsevier, vol. 259(C).
    4. Ming, T. & Wu, Y. & Peng, C. & Tao, Y., 2015. "Thermal analysis on a segmented thermoelectric generator," Energy, Elsevier, vol. 80(C), pages 388-399.
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    6. Demeke, Wabi & Ryu, Byungki & Ryu, Seunghwa, 2024. "Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties," Applied Energy, Elsevier, vol. 355(C).
    7. Zhu, Yuxiao & Newbrook, Daniel W. & Dai, Peng & de Groot, C.H. Kees & Huang, Ruomeng, 2022. "Artificial neural network enabled accurate geometrical design and optimisation of thermoelectric generator," Applied Energy, Elsevier, vol. 305(C).
    8. Yang, Wenlong & Jin, Chenchen & Zhu, Wenchao & Li, Yang & Zhang, Rui & Huang, Liang & Xie, Changjun & Shi, Ying, 2024. "Taguchi optimization and thermoelectrical analysis of a pin fin annular thermoelectric generator for automotive waste heat recovery," Renewable Energy, Elsevier, vol. 220(C).
    9. Maduabuchi, Chika, 2022. "Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data," Applied Energy, Elsevier, vol. 315(C).
    10. Sun, Jinxiang & Zhang, Ruibo & Wang, Mingjun & Zhang, Jing & Qiu, Suizheng & Tian, Wenxi & Su, G.H., 2022. "Multi-objective optimization of helical coil steam generator in high temperature gas reactors with genetic algorithm and response surface method," Energy, Elsevier, vol. 259(C).
    11. Yan, Weichao & Cui, Xin & Meng, Xiangzhao & Yang, Chuanjun & Zhang, Yu & Liu, Yilin & An, Hui & Jin, Liwen, 2024. "Multi-objective optimization of hollow fiber membrane-based water cooler for enhanced cooling performance and energy efficiency," Renewable Energy, Elsevier, vol. 222(C).
    12. Daniel Sanin-Villa & Oscar Danilo Montoya & Luis Fernando Grisales-Noreña, 2023. "Material Property Characterization and Parameter Estimation of Thermoelectric Generator by Using a Master–Slave Strategy Based on Metaheuristics Techniques," Mathematics, MDPI, vol. 11(6), pages 1-19, March.
    13. Ge, Ya & He, Kui & Xiao, Liehui & Yuan, Wuzhi & Huang, Si-Min, 2022. "Geometric optimization for the thermoelectric generator with variable cross-section legs by coupling finite element method and optimization algorithm," Renewable Energy, Elsevier, vol. 183(C), pages 294-303.
    14. Yan, Weichao & Yang, Chuanjun & Liu, Yahui & Zhang, Yu & Liu, Yilin & Cui, Xin & Meng, Xiangzhao & Jin, Liwen, 2024. "A design optimization framework for vacuum-assisted hollow fiber membrane integrated evaporative water coolers," Renewable Energy, Elsevier, vol. 230(C).
    15. Luo, Yang & Li, Linlin & Chen, Yiping & Kim, Chang Nyung, 2022. "Influence of geometric parameter and contact resistances on the thermal-electric behavior of a segmented TEG," Energy, Elsevier, vol. 254(PC).
    16. Wang, Xuejian & Qi, Ji & Deng, Wei & Li, Gongping & Gao, Xudong & He, Luanxuan & Zhang, Shixu, 2021. "An optimized design approach concerning thermoelectric generators with frustum-shaped legs based on three-dimensional multiphysics model," Energy, Elsevier, vol. 233(C).
    17. Al-Sanad, Shaikha & Wang, Lin & Parol, Jafarali & Kolios, Athanasios, 2021. "Reliability-based design optimisation framework for wind turbine towers," Renewable Energy, Elsevier, vol. 167(C), pages 942-953.
    18. Harb, Abd El-Moneim A. & Elsayed, Khairy & Sedrak, Momtaz & Ahmed, Mahmoud & Abdo, Ahmed, 2024. "Enhancing the performance of thermoelectric generators using novel segmental arrangement of multi-functional gradient materials," Renewable Energy, Elsevier, vol. 225(C).
    19. Sourav Bhakta & Balaram Kundu, 2024. "A Review of Thermoelectric Generators in Automobile Waste Heat Recovery Systems for Improving Energy Utilization," Energies, MDPI, vol. 17(5), pages 1-46, February.

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