IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4473-d1161809.html
   My bibliography  Save this article

Performance Analysis of Variable Cross-Section TEGs under Constant Heat Flux Conditions

Author

Listed:
  • Junpeng Liu

    (Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China)

  • Yajing Sun

    (Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China)

  • Gang Chen

    (Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China)

  • Pengcheng Zhai

    (Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Wuhan University of Technology, Wuhan 430070, China
    State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China)

Abstract

In this paper, five shapes of thermoelectric generator (TEG) models (cylindrical, barrel shaped, hourglass shaped, cup shaped, and inverse cup shaped) are built under the boundary conditions of heat flux at the hot end and convection at the cold end of the TEGs. Based on the numerical simulation results, the configuration of the variable cross-section can effectively boost the performance of TEGs. Remarkably, the hourglass-shaped TEG generated the maximum output power and efficiency, which were 69.62% and 70.96% higher than that of the conventional cylindrical TEG, respectively. The results indicate that the hourglass shape is beneficial to enlarge the temperature difference between the two ends of the TEG, which results in performance improvement. In addition, the effects of heat flux and convection on the performance of TEGs are explored and discussed. After choosing the appropriate boundary conditions, the relationships between the maximum output power and efficiency and the shape factor of the hourglass-shaped TEG are obtained according to the fitting results. Finally, some conclusions are drawn to provide guidance for TEG applications.

Suggested Citation

  • Junpeng Liu & Yajing Sun & Gang Chen & Pengcheng Zhai, 2023. "Performance Analysis of Variable Cross-Section TEGs under Constant Heat Flux Conditions," Energies, MDPI, vol. 16(11), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4473-:d:1161809
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4473/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/11/4473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhu, WenChao & Weng, Zebin & Li, Yang & Zhang, Leiqi & Zhao, Bo & Xie, Changjun & Shi, Ying & Huang, Liang & Yan, Yonggao, 2022. "Theoretical analysis of shape factor on performance of annular thermoelectric generators under different thermal boundary conditions," Energy, Elsevier, vol. 239(PD).
    2. Ge, Ya & Liu, Zhichun & Sun, Henan & Liu, Wei, 2018. "Optimal design of a segmented thermoelectric generator based on three-dimensional numerical simulation and multi-objective genetic algorithm," Energy, Elsevier, vol. 147(C), pages 1060-1069.
    3. Ibeagwu, Onyebuchi Isreal, 2019. "Modelling and comprehensive analysis of TEGs with diverse variable leg geometry," Energy, Elsevier, vol. 180(C), pages 90-106.
    4. Chen, Wei-Hsin & Wang, Chien-Chang & Hung, Chen-I. & Yang, Chang-Chung & Juang, Rei-Cheng, 2014. "Modeling and simulation for the design of thermal-concentrated solar thermoelectric generator," Energy, Elsevier, vol. 64(C), pages 287-297.
    5. Khalil, ALkhadher & Elhassnaoui, Ahmed & Yadir, Said & Abdellatif, Obbadi & Errami, Youssef & Sahnoun, Smail, 2021. "Performance comparison of TEGs for diverse variable leg geometry with the same leg volume," Energy, Elsevier, vol. 224(C).
    6. Jia, Xiaodong & Guo, Qiuting, 2020. "Design study of Bismuth-Telluride-based thermoelectric generators based on thermoelectric and mechanical performance," Energy, Elsevier, vol. 190(C).
    7. Liu, Hai-Bo & Wang, Shuo-Lin & Yang, Yan-Ru & Chen, Wei-Hsin & Wang, Xiao-Dong, 2020. "Theoretical analysis of performance of variable cross-section thermoelectric generators: Effects of shape factor and thermal boundary conditions," Energy, Elsevier, vol. 201(C).
    8. Karana, Dhruv Raj & Sahoo, Rashmi Rekha, 2019. "Influence of geometric parameter on the performance of a new asymmetrical and segmented thermoelectric generator," Energy, Elsevier, vol. 179(C), pages 90-99.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ye-Qi Zhang & Jiao Sun & Guang-Xu Wang & Tian-Hu Wang, 2022. "Advantage of a Thermoelectric Generator with Hybridization of Segmented Materials and Irregularly Variable Cross-Section Design," Energies, MDPI, vol. 15(8), pages 1-18, April.
    2. Yang, Wenlong & Zhu, WenChao & Du, Banghua & Wang, Han & Xu, Lamei & Xie, Changjun & Shi, Ying, 2023. "Power generation of annular thermoelectric generator with silicone polymer thermal conductive oil applied in automotive waste heat recovery," Energy, Elsevier, vol. 282(C).
    3. Zhu, WenChao & Yang, Wenlong & Yang, Yang & Li, Yang & Li, Hao & Shi, Ying & Yan, Yonggao & Xie, Changjun, 2022. "Economic configuration optimization of onboard annual thermoelectric generators under multiple operating conditions," Renewable Energy, Elsevier, vol. 197(C), pages 486-499.
    4. 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).
    5. Lan, Yuncheng & Lu, Junhui & Wang, Suilin, 2023. "Study of the geometry and structure of a thermoelectric leg with variable material properties and side heat dissipation based on thermodynamic, economic, and environmental analysis," Energy, Elsevier, vol. 282(C).
    6. Zou, Wen-Jiang & Shen, Kun-Yang & Jung, Seunghun & Kim, Young-Bae, 2021. "Application of thermoelectric devices in performance optimization of a domestic PEMFC-based CHP system," Energy, Elsevier, vol. 229(C).
    7. 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.
    8. Chen, Wei-Hsin & Lin, Yen-Kuan & Luo, Ding & Jin, Liwen & Hoang, Anh Tuan & Saw, Lip Huat & Nižetić, Sandro, 2023. "Effects of material doping on the performance of thermoelectric generator with/without equal segments," Applied Energy, Elsevier, vol. 350(C).
    9. 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).
    10. Yin, Tao & Li, Zhen-Ming & Peng, Peng & Liu, Wei & Shao, Yu-Ying & He, Zhi-Zhu, 2021. "Performance analysis and design optimization of a compact thermoelectric generator with T-Shaped configuration," Energy, Elsevier, vol. 229(C).
    11. Chen, Lingen & Lorenzini, Giulio, 2023. "Heating load, COP and exergetic efficiency optimizations for TEG-TEH combined thermoelectric device with Thomson effect and external heat transfer," Energy, Elsevier, vol. 270(C).
    12. Ge, Ya & Xiao, Qiyin & Wang, Wenhao & Lin, Yousheng & Huang, Si-Min, 2022. "Design of high-performance photovoltaic-thermoelectric hybrid systems using multi-objective genetic algorithm," Renewable Energy, Elsevier, vol. 200(C), pages 136-145.
    13. 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).
    14. Weng, Zebin & Liu, Furong & Zhu, Wenchao & Li, Yang & Xie, Changjun & Deng, Jian & Huang, Liang, 2022. "Performance improvement of variable-angle annular thermoelectric generators considering different boundary conditions," Applied Energy, Elsevier, vol. 306(PA).
    15. 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).
    16. Nan, Bohang & Guo, Tao & Deng, Hao & Zhang, Guangbing & Shi, Ran & Xin, Jiakai & Tang, Chen & Xu, Guiying, 2024. "Output performance improvement for thermoelectric transistor with the consideration of the Thomson effect and geometry optimization," Applied Energy, Elsevier, vol. 357(C).
    17. Kong, Li & Yu, Jia & Zhu, Hongji & Zhu, Qingshan & Yan, Qing, 2022. "Effect of three parameters of the periodic rectangular pulsed heat flux on the electrical performance improvement to a thermoelectric generator," Energy, Elsevier, vol. 261(PA).
    18. 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).
    19. Khalil, ALkhadher & Elhassnaoui, Ahmed & Yadir, Said & Abdellatif, Obbadi & Errami, Youssef & Sahnoun, Smail, 2021. "Performance comparison of TEGs for diverse variable leg geometry with the same leg volume," Energy, Elsevier, vol. 224(C).
    20. Maduabuchi, Chika & Eneh, Chibuoke & Alrobaian, Abdulrahman Abdullah & Alkhedher, Mohammad, 2023. "Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators," Energy, Elsevier, vol. 263(PC).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4473-:d:1161809. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.