IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v96y2016ipap824-831.html
   My bibliography  Save this article

Improved blade element momentum theory for wind turbine aerodynamic computations

Author

Listed:
  • Sun, Zhenye
  • Chen, Jin
  • Shen, Wen Zhong
  • Zhu, Wei Jun

Abstract

Blade element momentum (BEM) theory is widely used in aerodynamic performance predictions and design applications for wind turbines. However, the classic BEM method is not quite accurate which often tends to under-predict the aerodynamic forces near root and over-predict its performance near tip. The reliability of the aerodynamic calculations and design optimizations is greatly reduced due to this problem. To improve the momentum theory, in this paper the influence of pressure drop due to wake rotation and the effect of radial velocity at the rotor disc in the momentum theory are considered. Thus the axial induction factor in far downstream is not simply twice of the induction factor at disc. To calculate the performance of wind turbine rotors, the improved momentum theory is considered together with both Glauert’s tip correction and Shen’s tip correction. Numerical tests have been performed for the MEXICO rotor. Results show that the improved BEM theory gives a better prediction than the classic BEM method, especially in the blade tip region, when comparing to the MEXICO measurements.

Suggested Citation

  • Sun, Zhenye & Chen, Jin & Shen, Wen Zhong & Zhu, Wei Jun, 2016. "Improved blade element momentum theory for wind turbine aerodynamic computations," Renewable Energy, Elsevier, vol. 96(PA), pages 824-831.
    • Handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:824-831
    DOI: 10.1016/j.renene.2016.05.035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116304463
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.05.035?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. Iván Herráez & Bernhard Stoevesandt & Joachim Peinke, 2014. "Insight into Rotational Effects on a Wind Turbine Blade Using Navier–Stokes Computations," Energies, MDPI, vol. 7(10), pages 1-25, October.
    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. Zh. Zhang, 2022. "Conceptual Errors in Actuator Disc Theory and Betz’s Law for Wind Turbines," Energies, MDPI, vol. 15(16), pages 1-15, August.
    2. 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.
    3. Hailay Kiros Kelele & Lars Frøyd & Mulu Bayray Kahsay & Torbjørn Kristian Nielsen, 2022. "Characterization of Aerodynamics of Small Wind Turbine Blade for Enhanced Performance and Low Cost of Energy," Energies, MDPI, vol. 15(21), pages 1-23, October.
    4. Wenbin Su & Hongbo Wei & Penghua Guo & Qiao Hu & Mengyuan Guo & Yuanjie Zhou & Dayu Zhang & Zhufeng Lei & Chaohui Wang, 2021. "Research on Hydraulic Conversion Technology of Small Ocean Current Turbines for Low-Flow Current Energy Generation," Energies, MDPI, vol. 14(20), pages 1-19, October.
    5. Huilai Ren & Xiaodong Zhang & Shun Kang & Sichao Liang, 2018. "Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy," Energies, MDPI, vol. 12(1), pages 1-19, December.
    6. 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.

    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. Abutunis, A. & Taylor, G. & Fal, M. & Chandrashekhara, K., 2020. "Experimental evaluation of coaxial horizontal axis hydrokinetic composite turbine system," Renewable Energy, Elsevier, vol. 157(C), pages 232-245.
    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. J. G. Schepers & S. J. Schreck, 2019. "Aerodynamic measurements on wind turbines," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(1), January.
    4. Kiran Siddappaji & Mark Turner, 2022. "Improved Prediction of Aerodynamic Loss Propagation as Entropy Rise in Wind Turbines Using Multifidelity Analysis," Energies, MDPI, vol. 15(11), pages 1-44, May.
    5. Abutunis, Abdulaziz & Hussein, Rafid & Chandrashekhara, K., 2019. "A neural network approach to enhance blade element momentum theory performance for horizontal axis hydrokinetic turbine application," Renewable Energy, Elsevier, vol. 136(C), pages 1281-1293.
    6. Matthias Schramm & Hamid Rahimi & Bernhard Stoevesandt & Kim Tangager, 2017. "The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations," Energies, MDPI, vol. 10(9), pages 1-15, September.
    7. Müller-Vahl, Hanns Friedrich & Nayeri, Christian Navid & Paschereit, Christian Oliver & Greenblatt, David, 2016. "Dynamic stall control via adaptive blowing," Renewable Energy, Elsevier, vol. 97(C), pages 47-64.
    8. Dose, B. & Rahimi, H. & Herráez, I. & Stoevesandt, B. & Peinke, J., 2018. "Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD," Renewable Energy, Elsevier, vol. 129(PA), pages 591-605.
    9. Abdulaziz Abutunis & Venkata Gireesh Menta, 2022. "Comprehensive Parametric Study of Blockage Effect on the Performance of Horizontal Axis Hydrokinetic Turbines," Energies, MDPI, vol. 15(7), pages 1-22, April.
    10. Amini, Shayesteh & Golzarian, Mahmood Reza & Mahmoodi, Esmail & Jeromin, Andres & Abbaspour-Fard, Mohammad Hossein, 2021. "Numerical simulation of the Mexico wind turbine using the actuator disk model along with the 3D correction of aerodynamic coefficients in OpenFOAM," Renewable Energy, Elsevier, vol. 163(C), pages 2029-2036.
    11. Shantanu Purohit & Ijaz Fazil Syed Ahmed Kabir & E. Y. K. Ng, 2021. "On the Accuracy of uRANS and LES-Based CFD Modeling Approaches for Rotor and Wake Aerodynamics of the (New) MEXICO Wind Turbine Rotor Phase-III," Energies, MDPI, vol. 14(16), pages 1-26, August.
    12. Zhong, Junwei & Li, Jingyin, 2020. "Aerodynamic performance prediction of NREL phase VI blade adopting biplane airfoil," Energy, Elsevier, vol. 206(C).

    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:96:y:2016:i:pa:p:824-831. 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.