IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v105y2017icp625-636.html

A revised theoretical analysis of aerodynamic optimization of horizontal-axis wind turbines based on BEM theory

Author

Listed:
  • Pinto, Ricardo Luiz Utsch de Freitas
  • Gonçalves, Bruna Patrícia Furtado

Abstract

This article presents a revised theoretical analysis of aerodynamic optimization of horizontal-axis wind turbines, including drag effects, based on Blade Element-Momentum theory. It is demonstrated that horizontal-axis wind turbines can never reach Betz limit, even in the absence of drag effects. Formulating the optimization problem as a nonlinear programming problem with equality and inequality constraints, it is confirmed that, in order to reach maximum performance, all blade sections have to operate under maximum lift-to-drag ratio condition. This condition has been adopted in the literature, but without a mathematical proof that is indeed true. The optimal distributions of axial and tangential induction factors are determined adopting a different approach from those found in the literature. The results include a diagram where both, the optimal operating tip speed ratio and the maximum power coefficient, can be quickly found as functions of the maximum airfoil lift-to-drag ratio.

Suggested Citation

  • Pinto, Ricardo Luiz Utsch de Freitas & Gonçalves, Bruna Patrícia Furtado, 2017. "A revised theoretical analysis of aerodynamic optimization of horizontal-axis wind turbines based on BEM theory," Renewable Energy, Elsevier, vol. 105(C), pages 625-636.
  • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:625-636
    DOI: 10.1016/j.renene.2016.12.076
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116311363
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2016.12.076?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. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    2. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    3. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    4. David G. Luenberger & Yinyu Ye, 2008. "Linear and Nonlinear Programming," International Series in Operations Research and Management Science, Springer, edition 0, number 978-0-387-74503-9, December.
    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. Mauro, S. & Lanzafame, R. & Messina, M., 2025. "Detailed CFD-BEM analysis about the effects of twist and taper of HAWTs on the rotational augmentation phenomenon," Energy, Elsevier, vol. 314(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. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    2. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
    3. Rongyu Zha & Siyuan Wu & Chang Cai & Xiaohui Liu & Dian Wang & Chaoyi Peng & Xuebin Feng & Qiuhua Chen & Xiaohui Zhong & Qing’an Li, 2025. "A Review on Performance Calculation and Design Methodologies for Horizontal-Axis Wind Turbine Blades," Energies, MDPI, vol. 18(2), pages 1-23, January.
    4. Silva, Paulo Augusto Strobel Freitas & Shinomiya, Léo Daiki & de Oliveira, Taygoara Felamingo & Vaz, Jerson Rogério Pinheiro & Amarante Mesquita, André Luiz & Brasil Junior, Antonio Cesar Pinho, 2017. "Analysis of cavitation for the optimized design of hydrokinetic turbines using BEM," Applied Energy, Elsevier, vol. 185(P2), pages 1281-1291.
    5. Veisi, Amin Allah & Shafiei Mayam, Mohammad Hossein, 2017. "Effects of blade rotation direction in the wake region of two in-line turbines using Large Eddy Simulation," Applied Energy, Elsevier, vol. 197(C), pages 375-392.
    6. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
    7. Margielewicz, Jerzy & Gąska, Damian & Litak, Grzegorz & Wolszczak, Piotr & Yurchenko, Daniil, 2022. "Nonlinear dynamics of a new energy harvesting system with quasi-zero stiffness," Applied Energy, Elsevier, vol. 307(C).
    8. Shahmohammadi, Ali & Sioshansi, Ramteen & Conejo, Antonio J. & Afsharnia, Saeed, 2018. "Market equilibria and interactions between strategic generation, wind, and storage," Applied Energy, Elsevier, vol. 220(C), pages 876-892.
    9. Jae-Sung Oh & Taehak Kang & Seokgyun Ham & Kwan-Sup Lee & Yong-Jun Jang & Hong-Sun Ryou & Jaiyoung Ryu, 2019. "Numerical Analysis of Aerodynamic Characteristics of Hyperloop System," Energies, MDPI, vol. 12(3), pages 1-17, February.
    10. Xie, Lie-jun & Zhou, Cai-lian & Xu, Song, 2018. "An effective computational method for solving linear multi-point boundary value problems," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 255-266.
    11. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    12. Arthur Medeiros & Thales Ramos & José Tavares de Oliveira & Manoel F. Medeiros Júnior, 2020. "Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy," Energies, MDPI, vol. 13(3), pages 1-28, February.
    13. Ivorra, Benjamin & Mohammadi, Bijan & Manuel Ramos, Angel, 2015. "A multi-layer line search method to improve the initialization of optimization algorithms," European Journal of Operational Research, Elsevier, vol. 247(3), pages 711-720.
    14. Christoph Hametner & Markus Stadlbauer & Maxime Deregnaucourt & Stefan Jakubek, 2013. "Incremental optimal process excitation for online system identification based on evolving local model networks," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(6), pages 505-525, December.
    15. Longfu Luo & Xiaofeng Zhang & Dongran Song & Weiyi Tang & Jian Yang & Li Li & Xiaoyu Tian & Wu Wen, 2018. "Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-17, October.
    16. Tanaka, Ken'ichiro & Toda, Alexis Akira, 2015. "Discretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis," University of California at San Diego, Economics Working Paper Series qt7g23r5kh, Department of Economics, UC San Diego.
    17. Frikha Noufel & Sagna Abass, 2012. "Quantization based recursive importance sampling," Monte Carlo Methods and Applications, De Gruyter, vol. 18(4), pages 287-326, December.
    18. Ashrafi, M. & Khanjani, M.J. & Fadaei-Kermani, E. & Barani, G.A., 2015. "Farm drainage channel network optimization by improved modified minimal spanning tree," Agricultural Water Management, Elsevier, vol. 161(C), pages 1-8.
    19. Simone Aparecida Rocha & Rodrigo Tomas Nogueira Cardoso & Eduardo Gonzaga Da Silveira & Alex-Sander Amavel Luiz, 2023. "Application of Nonlinear Optimization for Fault Location in Transmission Lines with Series Compensation Protected by Varistors," Energies, MDPI, vol. 16(15), pages 1-20, July.
    20. Gao, Linyue & Liu, Yang & Ma, Liqun & Hu, Hui, 2019. "A hybrid strategy combining minimized leading-edge electric-heating and superhydro-/ice-phobic surface coating for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 140(C), pages 943-956.

    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:105:y:2017:i:c:p:625-636. 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.