IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v156y2020icp710-718.html
   My bibliography  Save this article

Optimization analysis of a segmented thermoelectric generator based on genetic algorithm

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120306583
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.04.120?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    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. 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).
    2. 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.
    3. Chen, Zhiwei & Zhao, Weicheng & Lin, Xiaoyong & Han, Yongming & Hu, Xuan & Yuan, Kui & Geng, Zhiqiang, 2024. "Load prediction of integrated energy systems for energy saving and carbon emission based on novel multi-scale fusion convolutional neural network," Energy, Elsevier, vol. 290(C).
    4. 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).
    5. 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).
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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).
    12. 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).
    13. 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).
    14. 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).
    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. 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 1-49, 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. Wu, Yongjia & Yang, Jihui & Chen, Shikui & Zuo, Lei, 2018. "Thermo-element geometry optimization for high thermoelectric efficiency," Energy, Elsevier, vol. 147(C), pages 672-680.
    2. Massaguer, E. & Massaguer, A. & Pujol, T. & Comamala, M. & Montoro, L. & Gonzalez, J.R., 2019. "Fuel economy analysis under a WLTP cycle on a mid-size vehicle equipped with a thermoelectric energy recovery system," Energy, Elsevier, vol. 179(C), pages 306-314.
    3. Shen, Zu-Guo & Liu, Xun & Chen, Shuai & Wu, Shuang-Ying & Xiao, Lan & Chen, Zu-Xiang, 2018. "Theoretical analysis on a segmented annular thermoelectric generator," Energy, Elsevier, vol. 157(C), pages 297-313.
    4. Zhi Li & Wenhao Li & Zhen Chen, 2017. "Performance Analysis of Thermoelectric Based Automotive Waste Heat Recovery System with Nanofluid Coolant," Energies, MDPI, vol. 10(10), pages 1-15, September.
    5. Rui Liu & Guangkun Ren & Xing Tan & Yuanhua Lin & Cewen Nan, 2016. "Enhanced Thermoelectric Properties of Cu 3 SbSe 3 -Based Composites with Inclusion Phases," Energies, MDPI, vol. 9(10), pages 1-7, October.
    6. Yihua Zhang & Guyang Peng & Shuankui Li & Haijun Wu & Kaidong Chen & Jiandong Wang & Zhihao Zhao & Tu Lyu & Yuan Yu & Chaohua Zhang & Yang Zhang & Chuansheng Ma & Shengwu Guo & Xiangdong Ding & Jun Su, 2024. "Phase interface engineering enables state-of-the-art half-Heusler thermoelectrics," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Fan, Zeng & Zhang, Yaoyun & Pan, Lujun & Ouyang, Jianyong & Zhang, Qian, 2021. "Recent developments in flexible thermoelectrics: From materials to devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    8. Imran, Muhammad & Haglind, Fredrik & Asim, Muhammad & Zeb Alvi, Jahan, 2018. "Recent research trends in organic Rankine cycle technology: A bibliometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 552-562.
    9. Zhao, Rongchao & Zhuge, Weilin & Zhang, Yangjun & Yin, Yong & Zhao, Yanting & Chen, Zhen, 2016. "Parametric study of a turbocompound diesel engine based on an analytical model," Energy, Elsevier, vol. 115(P1), pages 435-445.
    10. Jia, Xiao-Dong & Wang, Yuan-Jing & Gao, Yuan-Wen, 2017. "Numerical simulation of thermoelectric performance of linear-shaped thermoelectric generators under transient heat supply," Energy, Elsevier, vol. 130(C), pages 276-285.
    11. Zhu, Dengting & Zheng, Xinqian, 2019. "Fuel consumption and emission characteristics in asymmetric twin-scroll turbocharged diesel engine with two exhaust gas recirculation circuits," Applied Energy, Elsevier, vol. 238(C), pages 985-995.
    12. Twaha, Ssennoga & Zhu, Jie & Yan, Yuying & Li, Bo, 2016. "A comprehensive review of thermoelectric technology: Materials, applications, modelling and performance improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 698-726.
    13. Aghaali, Habib & Ångström, Hans-Erik, 2015. "A review of turbocompounding as a waste heat recovery system for internal combustion engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 813-824.
    14. Yulong Li & Xun Shi & Dudi Ren & Jikun Chen & Lidong Chen, 2015. "Investigation of the Anisotropic Thermoelectric Properties of Oriented Polycrystalline SnSe," Energies, MDPI, vol. 8(7), pages 1-11, June.
    15. Massaguer, A. & Massaguer, E. & Comamala, M. & Pujol, T. & Montoro, L. & Cardenas, M.D. & Carbonell, D. & Bueno, A.J., 2017. "Transient behavior under a normalized driving cycle of an automotive thermoelectric generator," Applied Energy, Elsevier, vol. 206(C), pages 1282-1296.
    16. 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.
    17. Hongkun Lv & Guoneng Li & Youqu Zheng & Jiangen Hu & Jian Li, 2018. "Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove," Energies, MDPI, vol. 11(9), pages 1-19, August.
    18. Lincoln Bowen & Jordi Vinolas & José Luis Olazagoitia, 2019. "Design and Potential Power Recovery of Two Types of Energy Harvesting Shock Absorbers," Energies, MDPI, vol. 12(24), pages 1-19, December.
    19. Shu, Gequn & Liu, Lina & Tian, Hua & Wei, Haiqiao & Yu, Guopeng, 2014. "Parametric and working fluid analysis of a dual-loop organic Rankine cycle (DORC) used in engine waste heat recovery," Applied Energy, Elsevier, vol. 113(C), pages 1188-1198.
    20. 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).

    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:eee:renene:v:156:y:2020:i:c:p:710-718. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.