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Wind Turbine Blade Design

Author

Listed:
  • Peter J. Schubel

    (Faculty of Engineering, Division of Materials, Mechanics and Structures, University of Nottingham, University Park, Nottingham NG7 2RD, UK)

  • Richard J. Crossley

    (Faculty of Engineering, Division of Materials, Mechanics and Structures, University of Nottingham, University Park, Nottingham NG7 2RD, UK)

Abstract

A detailed review of the current state-of-art for wind turbine blade design is presented, including theoretical maximum efficiency, propulsion, practical efficiency, HAWT blade design, and blade loads. The review provides a complete picture of wind turbine blade design and shows the dominance of modern turbines almost exclusive use of horizontal axis rotors. The aerodynamic design principles for a modern wind turbine blade are detailed, including blade plan shape/quantity, aerofoil selection and optimal attack angles. A detailed review of design loads on wind turbine blades is offered, describing aerodynamic, gravitational, centrifugal, gyroscopic and operational conditions.

Suggested Citation

  • Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:9:p:3425-3449:d:19900
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    References listed on IDEAS

    as
    1. Kong, C. & Bang, J. & Sugiyama, Y., 2005. "Structural investigation of composite wind turbine blade considering various load cases and fatigue life," Energy, Elsevier, vol. 30(11), pages 2101-2114.
    2. Maalawi, K.Y. & Badr, M.A, 2003. "A practical approach for selecting optimum wind rotors," Renewable Energy, Elsevier, vol. 28(5), pages 803-822.
    3. Kishinami, Koki & Taniguchi, Hiroshi & Suzuki, Jun & Ibano, Hiroshi & Kazunou, Takashi & Turuhami, Masato, 2005. "Theoretical and experimental study on the aerodynamic characteristics of a horizontal axis wind turbine," Energy, Elsevier, vol. 30(11), pages 2089-2100.
    4. Yurdusev, M.A. & Ata, R. & Çetin, N.S., 2006. "Assessment of optimum tip speed ratio in wind turbines using artificial neural networks," Energy, Elsevier, vol. 31(12), pages 2153-2161.
    Full references (including those not matched with items on IDEAS)

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