IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v102y2017ipap21-34.html
   My bibliography  Save this article

Design of a wind turbine swept blade through extensive load analysis

Author

Listed:
  • Pavese, Christian
  • Kim, Taeseong
  • Murcia, Juan Pablo

Abstract

The main focus of this work is to offer an extensive investigation regarding the use of backward swept blades for passive load alleviation on wind turbines. Sweeping blades backward produces a structural coupling between flapwise bending towards the tower and torsion towards feathering. This coupling mitigates loads on the wind turbine structure due to a decrease in the angle of attack. The load alleviation can be achieved by changing the blade geometry according to three parameters: starting point for the change of shape along the blade span, blade tip sweep, and blade forward sweep. A parametric study is carried out on a 10 MW wind turbine with the purpose of outlining the relation between load variations and three geometric parameters used to introduce passive control on wind turbine blades. The objective is to estimate and analyze extreme and fatigue loads, formulating suggestions for the design of a wind turbine that employs backward swept blades. From the investigation, it is concluded that mildly and purely backward swept shapes are the best option because they allow the wind turbine to achieve load alleviations without a large increase of the blade root torsional extreme and life-time equivalent fatigue moment. The efficacy of the design procedure provided with this work is proved through its application on a 5 MW wind turbine design.

Suggested Citation

  • Pavese, Christian & Kim, Taeseong & Murcia, Juan Pablo, 2017. "Design of a wind turbine swept blade through extensive load analysis," Renewable Energy, Elsevier, vol. 102(PA), pages 21-34.
    • Handle: RePEc:eee:renene:v:102:y:2017:i:pa:p:21-34
    DOI: 10.1016/j.renene.2016.10.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116309041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.10.039?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. Kim, Taeseong & Hansen, Anders M. & Branner, Kim, 2013. "Development of an anisotropic beam finite element for composite wind turbine blades in multibody system," Renewable Energy, Elsevier, vol. 59(C), pages 172-183.
    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. Gambuzza, Stefano & Pisetta, Gabriele & Davey, Thomas & Steynor, Jeffrey & Viola, Ignazio Maria, 2023. "Model-scale experiments of passive pitch control for tidal turbines," Renewable Energy, Elsevier, vol. 205(C), pages 10-29.
    2. Miriam L. A. Gemaque & Jerson R. P. Vaz & Osvaldo R. Saavedra, 2022. "Optimization of Hydrokinetic Swept Blades," Sustainability, MDPI, vol. 14(21), pages 1-13, October.
    3. Chen, Yanling & Yang, Wenxian & Wei, Kexiang & Qin, Bo, 2024. "Enhancing tidal current turbine efficiency through multi-biomimetic blade design features," Energy, Elsevier, vol. 293(C).
    4. 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.
    5. Dai, Juchuan & Li, Mimi & Zhang, Fan & Zeng, Huifan, 2024. "Field load testing of wind turbines based on the relational model of strain vs load," Renewable Energy, Elsevier, vol. 221(C).
    6. Menegozzo, L. & Dal Monte, A. & Benini, E. & Benato, A., 2018. "Small wind turbines: A numerical study for aerodynamic performance assessment under gust conditions," Renewable Energy, Elsevier, vol. 121(C), pages 123-132.
    7. Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.

    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. 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.
    2. Chen, Z.J. & Stol, K.A. & Mace, B.R., 2017. "Wind turbine blade optimisation with individual pitch and trailing edge flap control," Renewable Energy, Elsevier, vol. 103(C), pages 750-765.
    3. Xu, Jin & Zhang, Lei & Li, Xue & Li, Shuang & Yang, Ke, 2020. "A study of dynamic response of a wind turbine blade based on the multi-body dynamics method," Renewable Energy, Elsevier, vol. 155(C), pages 358-368.
    4. Liew, Jaime & Lio, Wai Hou & Urbán, Albert Meseguer & Holierhoek, Jessica & Kim, Taeseong, 2020. "Active tip deflection control for wind turbines," Renewable Energy, Elsevier, vol. 149(C), pages 445-454.
    5. Shah, Owaisur Rahman & Tarfaoui, Mostapha, 2016. "The identification of structurally sensitive zones subject to failure in a wind turbine blade using nodal displacement based finite element sub-modeling," Renewable Energy, Elsevier, vol. 87(P1), pages 168-181.
    6. Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.
    7. Bei Li & De Tian & Xiaoxuan Wu & Huiwen Meng & Yi Su, 2023. "The Impact of Bend–Twist Coupling on Structural Characteristics and Flutter Limit of Ultra-Long Flexible Wind Turbine Composite Blades," Energies, MDPI, vol. 16(15), pages 1-20, August.
    8. Ozan Gözcü & Taeseong Kim & David Robert Verelst & Michael K. McWilliam, 2022. "Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine," Energies, MDPI, vol. 15(9), pages 1-22, April.
    9. Kim, T. & Madsen, F.J. & Bredmose, H. & Pegalajar-Jurado, A., 2023. "Numerical analysis and comparison study of the 1:60 scaled DTU 10 MW TLP floating wind turbine," Renewable Energy, Elsevier, vol. 202(C), pages 210-221.
    10. Rezaeiha, Abdolrahim & Pereira, Ricardo & Kotsonis, Marios, 2017. "Fluctuations of angle of attack and lift coefficient and the resultant fatigue loads for a large Horizontal Axis Wind turbine," Renewable Energy, Elsevier, vol. 114(PB), pages 904-916.
    11. Kim, Yusik & Madsen, Helge Aa & Aparicio-Sanchez, Maria & Pirrung, Georg & Lutz, Thorsten, 2020. "Assessment of blade element momentum codes under varying turbulence levels by comparing with blade resolved computational fluid dynamics," Renewable Energy, Elsevier, vol. 160(C), pages 788-802.
    12. Hawari, Qusay & Kim, Taeseong & Ward, Christopher & Fleming, James, 2022. "A robust gain scheduling method for a PI collective pitch controller of multi-MW onshore wind turbines," Renewable Energy, Elsevier, vol. 192(C), pages 443-455.
    13. Li, Y. & Castro, A.M. & Martin, J.E. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2017. "Coupled computational fluid dynamics/multibody dynamics method for wind turbine aero-servo-elastic simulation including drivetrain dynamics," Renewable Energy, Elsevier, vol. 101(C), pages 1037-1051.

    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:102:y:2017:i:pa:p:21-34. 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.