IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v204y2023icp197-217.html
   My bibliography  Save this article

Jellyfish search algorithm based optimal thermoelectric generation array reconfiguration under non-uniform temperature distribution condition

Author

Listed:
  • Yang, Bo
  • Wu, Shaocong
  • Li, Qiang
  • Yan, Yingjie
  • Li, Danyang
  • Luo, Enbo
  • Zeng, Chunyuan
  • Chen, Yijun
  • Guo, Zhengxun
  • Shu, Hongchun
  • Li, Zilin
  • Wang, Jingbo

Abstract

Thermoelectric generators (TEGs) can convert heat to electricity based on the temperature difference between their hot and cold sides. However, during practical operations, low thermoelectric conversion efficiency is usually caused by non-uniform temperature difference (NTD) conditions; thus, reliable and effective maximum power point tracking (MPPT) under NTD conditions is imperative for TEG arrays. Therefore, in this study, a jellyfish search (JS) algorithm-based TEG array reconfiguration strategy is proposed to realise MPPT under NTD conditions, upon which the overall power loss is effectively decreased, the energy conversion efficiency is efficiently enhanced, and the MPPT speed is improved. In particular, the simulation results demonstrate that the JS algorithm-based TEG array reconfiguration using a random pattern can enhance the maximum output power by 23.32% for 9 × 9 symmetric TEG arrays and 15.78% for 10 × 15 asymmetric TEG arrays. Finally, a hardware-in-the-loop (HIL) test was conducted on the RTLAB platform to verify its feasibility for hardware implementation.

Suggested Citation

  • Yang, Bo & Wu, Shaocong & Li, Qiang & Yan, Yingjie & Li, Danyang & Luo, Enbo & Zeng, Chunyuan & Chen, Yijun & Guo, Zhengxun & Shu, Hongchun & Li, Zilin & Wang, Jingbo, 2023. "Jellyfish search algorithm based optimal thermoelectric generation array reconfiguration under non-uniform temperature distribution condition," Renewable Energy, Elsevier, vol. 204(C), pages 197-217.
    • Handle: RePEc:eee:renene:v:204:y:2023:i:c:p:197-217
    DOI: 10.1016/j.renene.2022.12.067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122018584
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.12.067?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. Compadre Torrecilla, Marcos & Montecucco, Andrea & Siviter, Jonathan & Knox, Andrew R. & Strain, Andrew, 2019. "Novel model and maximum power tracking algorithm for thermoelectric generators operated under constant heat flux," Applied Energy, Elsevier, vol. 256(C).
    2. Daraban, Stefan & Petreus, Dorin & Morel, Cristina, 2014. "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, Elsevier, vol. 74(C), pages 374-388.
    3. Liu, Yi-Hua & Chiu, Yi-Hsun & Huang, Jia-Wei & Wang, Shun-Chung, 2016. "A novel maximum power point tracker for thermoelectric generation system," Renewable Energy, Elsevier, vol. 97(C), pages 306-318.
    4. Kwan, Trevor Hocksun & Wu, Xiaofeng, 2017. "The Lock-On Mechanism MPPT algorithm as applied to the hybrid photovoltaic cell and thermoelectric generator system," Applied Energy, Elsevier, vol. 204(C), pages 873-886.
    5. Rowe, D.M., 1999. "Thermoelectrics, an environmentally-friendly source of electrical power," Renewable Energy, Elsevier, vol. 16(1), pages 1251-1256.
    6. Yang, Bo & Zeng, Chunyuan & Li, Danyang & Guo, Zhengxun & Chen, Yijun & Shu, Hongchun & Cao, Pulin & Li, Zilin, 2022. "Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 325(C).
    7. Chen, Jian & Yao, Wei & Zhang, Chuan-Ke & Ren, Yaxing & Jiang, Lin, 2019. "Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control," Renewable Energy, Elsevier, vol. 134(C), pages 478-495.
    8. Çetin, Gürcan & Keçebaş, Ali, 2021. "Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant," Renewable Energy, Elsevier, vol. 172(C), pages 968-982.
    9. Ding, L.C. & Akbarzadeh, A. & Tan, L., 2018. "A review of power generation with thermoelectric system and its alternative with solar ponds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 799-812.
    10. Yang, Bo & Yu, Tao & Shu, Hongchun & Zhang, Yuming & Chen, Jian & Sang, Yiyan & Jiang, Lin, 2018. "Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine," Renewable Energy, Elsevier, vol. 119(C), pages 577-589.
    11. Zhang, Xiaoshun & Tan, Tian & Yang, Bo & Wang, Jingbo & Li, Shengnan & He, Tingyi & Yang, Lei & Yu, Tao & Sun, Liming, 2020. "Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 260(C).
    12. Montecucco, A. & Siviter, J. & Knox, A.R., 2017. "Combined heat and power system for stoves with thermoelectric generators," Applied Energy, Elsevier, vol. 185(P2), pages 1336-1342.
    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. Fathy, Ahmed, 2023. "Efficient energy valley optimization approach for reconfiguring thermoelectric generator system under non-uniform heat distribution," Renewable Energy, Elsevier, vol. 217(C).
    2. Qiang Li & Qian Chen & Jiyang Wu & Youqiang Qiu & Changhong Zhang & Yilong Huang & Jianbao Guo & Bo Yang, 2023. "XGBoost-Based Intelligent Decision Making of HVDC System with Knowledge Graph," Energies, MDPI, vol. 16(5), pages 1-21, March.
    3. Satpathy, Priya Ranjan & Aljafari, Belqasem & Thanikanti, Sudhakar Babu & Sharma, Renu, 2023. "An efficient power extraction technique for improved performance and reliability of solar PV arrays during partial shading," Energy, Elsevier, vol. 282(C).
    4. Yang, Bo & Zhang, Zijian & Zhang, Jie & Cheng, Xianlong & Li, Jiale & Shu, Jiale & Wang, Jiana & Wang, Xuetong & Li, Yulin & Wang, Jingbo, 2024. "Optimal reconfiguration design and HIL validation of hybrid PV-TEG systems via improved firefly algorithm," Energy, Elsevier, vol. 286(C).

    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. Yang, Bo & Zeng, Chunyuan & Li, Danyang & Guo, Zhengxun & Chen, Yijun & Shu, Hongchun & Cao, Pulin & Li, Zilin, 2022. "Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 325(C).
    2. Zhang, Xiaoshun & Tan, Tian & Yang, Bo & Wang, Jingbo & Li, Shengnan & He, Tingyi & Yang, Lei & Yu, Tao & Sun, Liming, 2020. "Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 260(C).
    3. Fathy, Ahmed, 2023. "Efficient energy valley optimization approach for reconfiguring thermoelectric generator system under non-uniform heat distribution," Renewable Energy, Elsevier, vol. 217(C).
    4. Hegazy Rezk & Magdy M. Zaky & Mohemmed Alhaider & Mohamed A. Tolba, 2022. "Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications," Energies, MDPI, vol. 15(23), pages 1-19, November.
    5. Zhang, Xiaoshun & Li, Shengnan & He, Tingyi & Yang, Bo & Yu, Tao & Li, Haofei & Jiang, Lin & Sun, Liming, 2019. "Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition," Energy, Elsevier, vol. 174(C), pages 1079-1090.
    6. Huazhen Cao & Chong Gao & Xuan He & Yang Li & Tao Yu, 2020. "Multi-Agent Cooperation Based Reduced-Dimension Q(λ) Learning for Optimal Carbon-Energy Combined-Flow," Energies, MDPI, vol. 13(18), pages 1-22, September.
    7. Yang, Bo & Wang, Junting & Zhang, Xiaoshun & Yu, Lei & Shu, Hongchun & Yu, Tao & Sun, Liming, 2020. "Control of SMES systems in distribution networks with renewable energy integration: A perturbation estimation approach," Energy, Elsevier, vol. 202(C).
    8. Yang, Bo & Zhu, Tianjiao & Zhang, Xiaoshun & Wang, Jingbo & Shu, Hongchun & Li, Shengnan & He, Tingyi & Yang, Lei & Yu, Tao, 2020. "Design and implementation of Battery/SMES hybrid energy storage systems used in electric vehicles: A nonlinear robust fractional-order control approach," Energy, Elsevier, vol. 191(C).
    9. Li, Guoneng & Zheng, Youqu & Hu, Jiangen & Guo, Wenwen, 2019. "Experiments and a simplified theoretical model for a water-cooled, stove-powered thermoelectric generator," Energy, Elsevier, vol. 185(C), pages 437-448.
    10. Yang, Bo & Zhang, Zijian & Zhang, Jie & Cheng, Xianlong & Li, Jiale & Shu, Jiale & Wang, Jiana & Wang, Xuetong & Li, Yulin & Wang, Jingbo, 2024. "Optimal reconfiguration design and HIL validation of hybrid PV-TEG systems via improved firefly algorithm," Energy, Elsevier, vol. 286(C).
    11. Björn Pfeiffelmann & Ali Cemal Benim & Franz Joos, 2021. "Water-Cooled Thermoelectric Generators for Improved Net Output Power: A Review," Energies, MDPI, vol. 14(24), pages 1-29, December.
    12. Ding, L.C. & Akbarzadeh, A. & Tan, L., 2018. "A review of power generation with thermoelectric system and its alternative with solar ponds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 799-812.
    13. Youssef, Abdel-Raheem & Mousa, Hossam H.H. & Mohamed, Essam E.M., 2020. "Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area," Renewable Energy, Elsevier, vol. 154(C), pages 875-893.
    14. Yang, Bo & Wang, Jingbo & Sang, Yiyan & Yu, Lei & Shu, Hongchun & Li, Shengnan & He, Tingyi & Yang, Lei & Zhang, Xiaoshun & Yu, Tao, 2019. "Applications of supercapacitor energy storage systems in microgrid with distributed generators via passive fractional-order sliding-mode control," Energy, Elsevier, vol. 187(C).
    15. González-Hernández, José Genaro & Salas-Cabrera, Rubén & Vázquez-Bautista, Roberto & Ong-de-la-Cruz, Luis Manuel & Rodríguez-Guillén, Joel, 2021. "A novel MPPT PI discrete reverse-acting controller for a wind energy conversion system," Renewable Energy, Elsevier, vol. 178(C), pages 904-915.
    16. Chen, Yifeng & Xie, Changjun & Li, Yang & Zhu, WenChao & Xu, Lamei & Gooi, Hoay Beng, 2023. "An improved metaheuristic-based MPPT for centralized thermoelectric generation systems under dynamic temperature conditions," Energy, Elsevier, vol. 277(C).
    17. Yan, Cai & Yao, Wei & Wen, Jianfeng & Fang, Jiakun & Ai, Xiaomeng & Wen, Jinyu, 2020. "Optimal design of probabilistic robust damping controllers to suppress multiband oscillations of power systems integrated with wind farm," Renewable Energy, Elsevier, vol. 158(C), pages 75-90.
    18. Youcef Belkhier & Abdelyazid Achour & Rabindra Nath Shaw & Nasim Ullah & Md. Shahariar Chowdhury & Kuaanan Techato, 2021. "Energy-Based Combined Nonlinear Observer and Voltage Controller for a PMSG Using Fuzzy Supervisor High Order Sliding Mode in a Marine Current Power System," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    19. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    20. Yin, Linfei & Zhang, Bin, 2021. "Time series generative adversarial network controller for long-term smart generation control of microgrids," Applied Energy, Elsevier, vol. 281(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:204:y:2023:i:c:p:197-217. 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.