IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v107y2017icp542-549.html
   My bibliography  Save this article

Nonlinear blade element-momentum analysis of Betz-Goldstein rotors

Author

Listed:
  • Wood, D.H.
  • Okulov, V.L.

Abstract

Blade element-momentum theory is a fundamental tool of wind turbine aerodynamics but several of its basic assumptions are not easily examined. By applying the theory to ideal Betz-Goldstein (BG) rotors, two important aspects of the theory are investigated. We prove for the first time that Glauert's inclusion of the tip loss factor in the angular and axial momentum equations is exact for BG rotors. Then we derive, also for the first time, the nonlinear contributions to the angular momentum balance when the rotor has a finite number of blades. The most important nonlinearity is the induced azimuthal velocity of the blades combined with that of the trailing vorticitiy. The derivation follows the recent formulation for the tip loss factor (F) by Wood et al. [1] in terms of the azimuthal variations in the induced velocities due to the trailing vortices. Nonlinearity is potentially important when F differs from unity. For a three-bladed BG rotor with the tip speed ratio (λ) varying from 0 to 15, we show that the nonlinear angular momentum peaks at 12% of the blade element torque when λ is in the range 0.8≤λ≤1.5. As λ increases above 1.5, the nonlinear terms reduce in importance. Nonlinearities also arise in the axial momentum equation but are more difficult to analyze. An approximate treatment of them suggests similar behaviour to the nonlinear angular momentum terms, but those in the axial momentum equation arise purely from the trailing vortices.

Suggested Citation

  • Wood, D.H. & Okulov, V.L., 2017. "Nonlinear blade element-momentum analysis of Betz-Goldstein rotors," Renewable Energy, Elsevier, vol. 107(C), pages 542-549.
  • Handle: RePEc:eee:renene:v:107:y:2017:i:c:p:542-549
    DOI: 10.1016/j.renene.2017.02.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117301131
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2017.02.027?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. Wood, D.H. & Okulov, V.L. & Bhattacharjee, D., 2016. "Direct calculation of wind turbine tip loss," Renewable Energy, Elsevier, vol. 95(C), pages 269-276.
    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. Wood, D.H., 2018. "Application of extended vortex theory for blade element analysis of horizontal-axis wind turbines," Renewable Energy, Elsevier, vol. 121(C), pages 188-194.
    2. Yeo, Eng Jet & Kennedy, David M. & O'Rourke, Fergal, 2022. "Tidal current turbine blade optimisation with improved blade element momentum theory and a non-dominated sorting genetic algorithm," Energy, Elsevier, vol. 250(C).
    3. Vaz, Jerson R.P. & Wood, David H., 2018. "Effect of the diffuser efficiency on wind turbine performance," Renewable Energy, Elsevier, vol. 126(C), pages 969-977.
    4. Vaz, Jerson R.P. & Okulov, Valery L. & Wood, David H., 2021. "Finite blade functions and blade element optimization for diffuser-augmented wind turbines," Renewable Energy, Elsevier, vol. 165(P1), pages 812-822.
    5. Hércules Araújo Oliveira & José Gomes de Matos & Luiz Antonio de Souza Ribeiro & Osvaldo Ronald Saavedra & Jerson Rogério Pinheiro Vaz, 2023. "Assessment of Correction Methods Applied to BEMT for Predicting Performance of Horizontal-Axis Wind Turbines," Sustainability, MDPI, vol. 15(8), pages 1-26, April.

    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. Jinming Wu & Yingxue Yao & Dongke Sun & Zhonghua Ni & Malin Göteman, 2019. "Numerical and Experimental Study of the Solo Duck Wave Energy Converter," Energies, MDPI, vol. 12(10), pages 1-19, May.
    2. Dai, Juchuan & Li, Mimi & Chen, Huanguo & He, Tao & Zhang, Fan, 2022. "Progress and challenges on blade load research of large-scale wind turbines," Renewable Energy, Elsevier, vol. 196(C), pages 482-496.
    3. Vaz, Jerson R.P. & Okulov, Valery L. & Wood, David H., 2021. "Finite blade functions and blade element optimization for diffuser-augmented wind turbines," Renewable Energy, Elsevier, vol. 165(P1), pages 812-822.
    4. Wood, D.H., 2018. "Application of extended vortex theory for blade element analysis of horizontal-axis wind turbines," Renewable Energy, Elsevier, vol. 121(C), pages 188-194.
    5. David Wood, 2021. "Wake Expansion and the Finite Blade Functions for Horizontal-Axis Wind Turbines," Energies, MDPI, vol. 14(22), pages 1-12, November.
    6. Hércules Araújo Oliveira & José Gomes de Matos & Luiz Antonio de Souza Ribeiro & Osvaldo Ronald Saavedra & Jerson Rogério Pinheiro Vaz, 2023. "Assessment of Correction Methods Applied to BEMT for Predicting Performance of Horizontal-Axis Wind Turbines," Sustainability, MDPI, vol. 15(8), pages 1-26, April.

    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:107:y:2017:i:c:p:542-549. 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.