IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p15823-d986575.html
   My bibliography  Save this article

Legs Geometry Influence on the Performance of the Thermoelectric Module

Author

Listed:
  • Abdelkader Rjafallah

    (Electrical Engineering and Computer Science Faculty, Transilvania University of Brasov, 500036 Brasov, Romania)

  • Daniel Tudor Cotfas

    (Electrical Engineering and Computer Science Faculty, Transilvania University of Brasov, 500036 Brasov, Romania)

  • Petru Adrian Cotfas

    (Electrical Engineering and Computer Science Faculty, Transilvania University of Brasov, 500036 Brasov, Romania)

Abstract

The performance of the thermoelectric module highly depends on the geometry of the legs, the module area, and implicitly on the number of the pairs, besides the properties of the materials. The geometry of the legs consists of the shape, the dimensions on three axes, and whether the legs are filled or are hollow. The legs can have one hollow or more, the hole can be from the top to bottom or not. This paper studies and compares the performance of different thermoelectric modules in function of the shape: square, triangular, trapezoid, reverse trapezoid, hourglass, inverse hourglass (filled and with the hollow from the top to the bottom or not), and with different dimensions of the length and width. The simulations are performed using the COMSOL Multiphysics software, where 3D numerical models are developed and solved using the finite element method. The results are compared with others from the specialized literature for a one pair square shape. The current-voltage and power-voltage characteristics have a good matching, which proves the simulations are good and the model can be used for other shapes. A steady-state heating condition is applied to the hot side of the thermoelectric generators, while the cold side is subjected to steady state, natural convection, and forced convection heating conditions. The square shape with an internal hollow is studied first. The best performance when the length and width are 1 mm × 1 mm, 1.5 mm × 1.5 mm, and 2 mm × 2 mm is obtained for the thermoelectric generator with filled square legs. The highest maximum power is obtained for thermoelectric generator with the sizes 2 mm × 2 mm. The gain in power for the square shape in comparison with the worst value of the TEG (Inverse Hourglass for filled and Triangular for hollow) for the three dimensions considered is for those filled 199%, 202%, and 204%, respectively, and for those that are hollow 198%, 232%, and 243%, respectively. The reduction in maximum power is 5%, for the thermoelectric generator with square legs (2 mm × 2 mm) and with hollow legs, in comparison with one filled. The maximum power increases for the thermoelectric generator with square legs which have a hollow interior, in this case 2 mm × 2 mm, with 0.2% and 1% for the thermoelectric generator with sizes of 1 mm × 1 mm. Additionally, the results obtained for the square filled shape are compared with the real ones obtained for a thermoelectric generator with sizes 40 mm × 40 mm × 4 mm. The matching is very good, which confirms that the model can be used for different geometry of the thermoelectric generators in order to help the manufacturers improve their performance.

Suggested Citation

  • Abdelkader Rjafallah & Daniel Tudor Cotfas & Petru Adrian Cotfas, 2022. "Legs Geometry Influence on the Performance of the Thermoelectric Module," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15823-:d:986575
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/15823/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/15823/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fateh, Haiyan & Baker, Chad A. & Hall, Matthew J. & Shi, Li, 2014. "High fidelity finite difference model for exploring multi-parameter thermoelectric generator design space," Applied Energy, Elsevier, vol. 129(C), pages 373-383.
    2. 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.
    3. Saim Memon & Khawaja Noman Tahir, 2018. "Experimental and Analytical Simulation Analyses on the Electrical Performance of Thermoelectric Generator Modules for Direct and Concentrated Quartz-Halogen Heat Harvesting," Energies, MDPI, vol. 11(12), pages 1-17, November.
    4. Sajjad Mahmoudinezhad & Petru Adrian Cotfas & Daniel Tudor Cotfas & Enok Johannes Haahr Skjølstrup & Kjeld Pedersen & Lasse Rosendahl & Alireza Rezania, 2021. "An Experimental Study on Transient Response of a Hybrid Thermoelectric–Photovoltaic System with Beam Splitter," Energies, MDPI, vol. 14(23), pages 1-12, December.
    5. Petru Adrian Cotfas & Daniel Tudor Cotfas, 2020. "Comprehensive Review of Methods and Instruments for Photovoltaic–Thermoelectric Generator Hybrid System Characterization," Energies, MDPI, vol. 13(22), pages 1-32, November.
    6. Ni, Dan & Song, Haijun & Chen, Yuanxun & Cai, Kefeng, 2019. "Free-standing highly conducting PEDOT films for flexible thermoelectric generator," Energy, Elsevier, vol. 170(C), pages 53-61.
    7. Mahmoudinezhad, S. & Cotfas, P.A. & Cotfas, D.T. & Rosendahl, L.A. & Rezania, A., 2020. "Response of thermoelectric generators to Bi2Te3 and Zn4Sb3 energy harvester materials under variant solar radiation," Renewable Energy, Elsevier, vol. 146(C), pages 2488-2498.
    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. 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.

    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. Cotfas, D.T. & Enesca, A. & Cotfas, P.A., 2024. "Enhancing the performance of the solar thermoelectric generator in unconcentrated and concentrated light," Renewable Energy, Elsevier, vol. 221(C).
    2. 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).
    3. AL-Wesabi Ibrahim & Hassan M. Hussein Farh & Abdullrahman A. Al-Shamma’a, 2025. "A Comprehensive Review of MPPT Strategies for Hybrid PV–TEG Systems: Advances, Challenges, and Future Directions," Mathematics, MDPI, vol. 13(17), pages 1-63, September.
    4. Abdelrahman Lashin & Mohammad Al Turkestani & Mohamed Sabry, 2019. "Concentrated Photovoltaic/Thermal Hybrid System Coupled with a Thermoelectric Generator," Energies, MDPI, vol. 12(13), pages 1-12, July.
    5. Daniel Sanin-Villa & Oscar D. Monsalve-Cifuentes & Elkin E. Henao-Bravo, 2021. "Evaluation of Thermoelectric Generators under Mismatching Conditions," Energies, MDPI, vol. 14(23), pages 1-20, December.
    6. 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.
    7. Sun, Henan & Ge, Ya & Liu, Wei & Liu, Zhichun, 2019. "Geometric optimization of two-stage thermoelectric generator using genetic algorithms and thermodynamic analysis," Energy, Elsevier, vol. 171(C), pages 37-48.
    8. 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).
    9. 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).
    10. Yuan, Jinfeng & Zhu, Rong, 2020. "A fully self-powered wearable monitoring system with systematically optimized flexible thermoelectric generator," Applied Energy, Elsevier, vol. 271(C).
    11. Wang, Yiping & Li, Shuai & Xie, Xu & Deng, Yadong & Liu, Xun & Su, Chuqi, 2018. "Performance evaluation of an automotive thermoelectric generator with inserted fins or dimpled-surface hot heat exchanger," Applied Energy, Elsevier, vol. 218(C), pages 391-401.
    12. He, Zhi-Zhu, 2020. "A coupled electrical-thermal impedance matching model for design optimization of thermoelectric generator," Applied Energy, Elsevier, vol. 269(C).
    13. Dusan Maga & Jaromir Hrad & Jiri Hajek & Akeel Othman, 2021. "Application of Minimum Energy Effect to Numerical Reconstruction of Insolation Curves," Energies, MDPI, vol. 14(17), pages 1-18, August.
    14. Maduabuchi, Chika & Okoli, Kingsley, 2024. "Transient real-weather 4E optimization of two-stage segmented thermoelectric generators for enhanced solar energy conversion," Applied Energy, Elsevier, vol. 373(C).
    15. Shittu, Samson & Li, Guiqiang & Zhao, Xudong & Ma, Xiaoli, 2019. "Series of detail comparison and optimization of thermoelectric element geometry considering the PV effect," Renewable Energy, Elsevier, vol. 130(C), pages 930-942.
    16. Sajjad Mahmoudinezhad & Petru Adrian Cotfas & Daniel Tudor Cotfas & Enok Johannes Haahr Skjølstrup & Kjeld Pedersen & Lasse Rosendahl & Alireza Rezania, 2021. "An Experimental Study on Transient Response of a Hybrid Thermoelectric–Photovoltaic System with Beam Splitter," Energies, MDPI, vol. 14(23), pages 1-12, December.
    17. Cui, Y.J. & Wang, B.L. & Wang, K.F. & Wang, G.G. & Zhang, A.B., 2022. "An analytical model to evaluate the fatigue crack effects on the hybrid photovoltaic-thermoelectric device," Renewable Energy, Elsevier, vol. 182(C), pages 923-933.
    18. 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.
    19. Wang, Xue & Wang, Hongchao & Su, Wenbin & Mehmood, Fahad & Zhai, Jinze & Wang, Teng & Chen, Tingting & Wang, Chunlei, 2019. "Geometric structural design for lead tellurium thermoelectric power generation application," Renewable Energy, Elsevier, vol. 141(C), pages 88-95.
    20. 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.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:14:y:2022:i:23:p:15823-:d:986575. 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.