IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v254y2025ics096014812501211x.html

Performance analysis and geometric optimization of bladeless wind turbines using wake oscillator model

Author

Listed:
  • Breen, Janis
  • Mallik, Wrik
  • Adhikari, Sondipon

Abstract

This study addresses the critical challenge of optimizing bladeless wind turbines (BWTs) for maximum power extraction while maintaining structural integrity. BWTs represent an innovative approach to wind energy harvesting from vortex-induced vibrations, but their performance characteristics and design constraints remain poorly understood. We present a comprehensive analytical framework combining a nonlinear wake oscillator model with fully coupled elastic-rigid body dynamics to investigate BWT behaviour across a wide parameter space. Unlike previous studies relying on high-fidelity computational modelling or simplified analytical models, our approach enables rapid exploration of complex relationships between BWT geometry, power output, and structural safety. The results reveal a previously unrecognized trade-off: while increasing mast diameter enhances both power extraction and efficiency, maximum power (600 Watts) and peak efficiency (6%) are achieved through distinct geometric configurations. Notably, configurations optimized solely for power output often exceed structural safety limits, while those maximizing efficiency deliver suboptimal power generation. The optimal BWT configuration (mast diameter 0.65 m, length 0.8 m) achieves 460 Watts output while maintaining structural integrity - a significant finding for practical BWT implementation. This study provides the first comprehensive BWT design methodology that balances performance optimization with structural constraints, establishing a foundation for scaling up these promising renewable energy devices.

Suggested Citation

  • Breen, Janis & Mallik, Wrik & Adhikari, Sondipon, 2025. "Performance analysis and geometric optimization of bladeless wind turbines using wake oscillator model," Renewable Energy, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:renene:v:254:y:2025:i:c:s096014812501211x
    DOI: 10.1016/j.renene.2025.123549
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812501211X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2025.123549?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Chizfahm, A. & Yazdi, E. Azadi & Eghtesad, M., 2018. "Dynamic modeling of vortex induced vibration wind turbines," Renewable Energy, Elsevier, vol. 121(C), pages 632-643.
    2. Issam Bahadur, 2022. "Dynamic Modeling and Investigation of a Tunable Vortex Bladeless Wind Turbine," Energies, MDPI, vol. 15(18), pages 1-18, September.
    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. Afsharfard, Aref & Shahsavari, Amirreza & Chen, Guanbin & Chen, Wen-Li & Kim, Kyung Chun, 2025. "Enhancing oscillations of bladeless wind energy harvesters with a downstream obstacle for bluff body," Energy, Elsevier, vol. 337(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. Wang, Junlei & Geng, Linfeng & Ding, Lin & Zhu, Hongjun & Yurchenko, Daniil, 2020. "The state-of-the-art review on energy harvesting from flow-induced vibrations," Applied Energy, Elsevier, vol. 267(C).
    2. Meng, Qingshen & Yu, Wei & Wu, Faming & Hua, Xugang & Chen, Chao, 2025. "Stall-induced aeroelastic instability of floating offshore wind turbines: Comparison of frequency domain and time domain quasi-steady approaches," Renewable Energy, Elsevier, vol. 251(C).
    3. Igor Ansoategui & Ekaitz Zulueta & Unai Fernandez-Gamiz & Jose Manuel Lopez-Guede, 2019. "Mechatronic Modeling and Frequency Analysis of the Drive Train of a Horizontal Wind Turbine," Energies, MDPI, vol. 12(4), pages 1-14, February.
    4. Liu, Shibo & Zhang, Lijun & Lu, Jiahui & Zhang, Xu & Wang, Kaifei & Gan, Zhenwei & Liu, Xiao & Jing, Zhengjun & Cui, Xudong & Wang, Hang, 2025. "Advances in urban wind resource development and wind energy harvesters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    5. Hasan Hamdan & Sharul Sham Dol & Abdelrahman Hosny Gomaa & Aghyad Belal Al Tahhan & Ahmad Al Ramahi & Haya Fares Turkmani & Mohammad Alkhedher & Rahaf Ajaj, 2023. "Experimental and Numerical Study of Novel Vortex Bladeless Wind Turbine with an Economic Feasibility Analysis and Investigation of Environmental Benefits," Energies, MDPI, vol. 17(1), pages 1-30, December.
    6. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    7. John Zuluaga & Santiago Ricardo & Andrés Oostra & Gilberto Materano & Apostolos Spanelis, 2023. "Assessment of Aerodynamic Plates Subjected to Von Kármán Vortex Street for Enhancing the Wind Energy Generation in Blade-Less Devices," Resources, MDPI, vol. 12(8), pages 1-22, August.
    8. Issam Bahadur, 2022. "Dynamic Modeling and Investigation of a Tunable Vortex Bladeless Wind Turbine," Energies, MDPI, vol. 15(18), pages 1-18, September.
    9. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.
    10. Jafari, Mohammad & Razavi, Alireza & Mirhosseini, Mojtaba, 2018. "Effect of airfoil profile on aerodynamic performance and economic assessment of H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 165(PA), pages 792-810.
    11. Luis Zanon-Martinez & Conrado Carrascosa-Lopez, 2025. "The Key Constituents, Research Trends, and Future Directions of the Circular Economy Applied to Wind Turbines Using a Bibliometric Approach," Energies, MDPI, vol. 18(15), pages 1-23, July.
    12. Hu, Gang & Tse, K.T. & Wei, Minghai & Naseer, R. & Abdelkefi, A. & Kwok, K.C.S., 2018. "Experimental investigation on the efficiency of circular cylinder-based wind energy harvester with different rod-shaped attachments," Applied Energy, Elsevier, vol. 226(C), pages 682-689.

    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:eee:renene:v:254:y:2025:i:c:s096014812501211x. 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.