IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v90y2015ip1p1055-1065.html
   My bibliography  Save this article

Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor

Author

Listed:
  • MacPhee, David W.
  • Beyene, Asfaw

Abstract

Active control of blade pitch for wind turbines is known to increase efficiency, especially for part and over-load operation. An unfortunate consequence of this practice is added upfront and maintenance costs, making these schemes economically viable only in large scale applications. This study investigates a novel concept for wind turbine design, in which the blade is purposefully built of a flexible material which can passively adapt its geometry according to local wind conditions. This design concept therefore acts as a low cost, simplistic passive pitch control mechanism. Using a finite-volume fluid–structure interaction solver, the aeroelastic response of such a turbine is analyzed and compared to experimental data collected from wind tunnel tests as part of this project. The results indicate that the flexible rotor is markedly superior to a geometrically identical rigid one in terms of the size of its operational envelope as well as average and maximal torque production. Using post-processing tools, the performance improvements are attributed to passive deflection of the airfoil, which act to delay blade stall and drastically change surface pressure distribution to improve turbine performance.

Suggested Citation

  • MacPhee, David W. & Beyene, Asfaw, 2015. "Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor," Energy, Elsevier, vol. 90(P1), pages 1055-1065.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p1:p:1055-1065
    DOI: 10.1016/j.energy.2015.08.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215010865
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.08.016?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. Hoogedoorn, Eelco & Jacobs, Gustaaf B. & Beyene, Asfaw, 2010. "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study," Energy, Elsevier, vol. 35(2), pages 778-785.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    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. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    2. Marzec, Łukasz & Buliński, Zbigniew & Krysiński, Tomasz, 2021. "Fluid structure interaction analysis of the operating Savonius wind turbine," Renewable Energy, Elsevier, vol. 164(C), pages 272-284.
    3. Momeni, Farhang & Sabzpoushan, Seyedali & Valizadeh, Reza & Morad, Mohammad Reza & Liu, Xun & Ni, Jun, 2019. "Plant leaf-mimetic smart wind turbine blades by 4D printing," Renewable Energy, Elsevier, vol. 130(C), pages 329-351.
    4. Manfrida, Giampaolo & Talluri, Lorenzo, 2020. "Smart pro-active pitch adjustment for VAWT blades: Potential for performance improvement," Renewable Energy, Elsevier, vol. 152(C), pages 867-875.
    5. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2020. "Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(3), pages 1-20, January.
    6. MacPhee, David W. & Beyene, Asfaw, 2019. "Performance analysis of a small wind turbine equipped with flexible blades," Renewable Energy, Elsevier, vol. 132(C), pages 497-508.
    7. Wang, Yingjie & Wang, Mingjun & Jia, Kang & Tian, Wenxi & Qiu, Suizheng & Su, Guanghui, 2022. "Thermal fatigue analysis of structures subjected to liquid metal jets at different temperatures in the Gen-IV nuclear energy system," Energy, Elsevier, vol. 256(C).
    8. Yang, Yaru & Li, Hua & Yao, Jin & Gao, Wenxiang, 2019. "Research on the characteristic parameters and rotor layout principle of dual-rotor horizontal axis wind turbine," Energy, Elsevier, vol. 189(C).
    9. Zhuang, Chen & Yang, Gang & Zhu, Yawei & Hu, Dean, 2020. "Effect of morphed trailing-edge flap on aerodynamic load control for a wind turbine blade section," Renewable Energy, Elsevier, vol. 148(C), pages 964-974.
    10. Cognet, V. & Courrech du Pont, S. & Thiria, B., 2020. "Material optimization of flexible blades for wind turbines," Renewable Energy, Elsevier, vol. 160(C), pages 1373-1384.
    11. Wang, Longyan & Xu, Jian & Wang, Zilu & Zhang, Bowen & Luo, Zhaohui & Yuan, Jianping & Tan, Andy C.C., 2023. "A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade," Renewable Energy, Elsevier, vol. 208(C), pages 367-384.

    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. Mérida, Jován & Aguilar, Luis T. & Dávila, Jorge, 2014. "Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization," Renewable Energy, Elsevier, vol. 71(C), pages 715-728.
    2. Fan, Zhixin & Zhu, Caichao, 2019. "The optimization and the application for the wind turbine power-wind speed curve," Renewable Energy, Elsevier, vol. 140(C), pages 52-61.
    3. Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
    4. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    5. Nikita Tomin, 2023. "Robust Reinforcement Learning-Based Multiple Inputs and Multiple Outputs Controller for Wind Turbines," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    6. Chen, Jiahao & Hu, Zhiqiang & Liu, Geliang & Wan, Decheng, 2019. "Coupled aero-hydro-servo-elastic methods for floating wind turbines," Renewable Energy, Elsevier, vol. 130(C), pages 139-153.
    7. Han, Chenlu & Nagamune, Ryozo, 2020. "Platform position control of floating wind turbines using aerodynamic force," Renewable Energy, Elsevier, vol. 151(C), pages 896-907.
    8. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    9. Golnary, Farshad & Moradi, Hamed, 2022. "Identification of the dynamics of the drivetrain and estimating its unknown parts in a large scale wind turbine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 50-69.
    10. Gao, Richie & Gao, Zhiwei, 2016. "Pitch control for wind turbine systems using optimization, estimation and compensation," Renewable Energy, Elsevier, vol. 91(C), pages 501-515.
    11. Helsen, Jan & Vanhollebeke, Frederik & Marrant, Ben & Vandepitte, Dirk & Desmet, Wim, 2011. "Multibody modelling of varying complexity for modal behaviour analysis of wind turbine gearboxes," Renewable Energy, Elsevier, vol. 36(11), pages 3098-3113.
    12. Jain, Achin & Schildbach, Georg & Fagiano, Lorenzo & Morari, Manfred, 2015. "On the design and tuning of linear model predictive control for wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 664-673.
    13. Jelaska, Damir & Podrug, Srdjan & Perkušić, Milan, 2015. "A novel hybrid transmission for variable speed wind turbines," Renewable Energy, Elsevier, vol. 83(C), pages 78-84.
    14. Davila-Vilchis, J.M. & Mishra, R.S., 2014. "Performance of a hydrokinetic energy system using an axial-flux permanent magnet generator," Energy, Elsevier, vol. 65(C), pages 631-638.
    15. Rezaei, Mohammad M. & Behzad, Mehdi & Haddadpour, Hassan & Moradi, Hamed, 2015. "Development of a reduced order model for nonlinear analysis of the wind turbine blade dynamics," Renewable Energy, Elsevier, vol. 76(C), pages 264-282.
    16. Pereira, T.R. & Batista, N.C. & Fonseca, A.R.A. & Cardeira, C. & Oliveira, P. & Melicio, R., 2018. "Darrieus wind turbine prototype: Dynamic modeling parameter identification and control analysis," Energy, Elsevier, vol. 159(C), pages 961-976.
    17. Göçmen, Tuhfe & Özerdem, Barış, 2012. "Airfoil optimization for noise emission problem and aerodynamic performance criterion on small scale wind turbines," Energy, Elsevier, vol. 46(1), pages 62-71.
    18. Silvio Simani, 2015. "Overview of Modelling and Advanced Control Strategies for Wind Turbine Systems," Energies, MDPI, vol. 8(12), pages 1-24, November.
    19. Jin, Xin & Li, Lang & Ju, Wenbin & Zhang, Zhaolong & Yang, Xiangang, 2016. "Multibody modeling of varying complexity for dynamic analysis of large-scale wind turbines," Renewable Energy, Elsevier, vol. 90(C), pages 336-351.
    20. Shrabani Sahu & Sasmita Behera, 2022. "A review on modern control applications in wind energy conversion system," Energy & Environment, , vol. 33(2), pages 223-262, March.

    More about this item

    Keywords

    FSI; Morphing; Wind turbine; Flexible;
    All these 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:energy:v:90:y:2015:i:p1:p:1055-1065. 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/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.