IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v97y2016icp162-168.html
   My bibliography  Save this article

Investigating the influence of dimensional scaling on aerodynamic characteristics of wind turbine using CFD simulation

Author

Listed:
  • Giahi, Mohammad Hossein
  • Jafarian Dehkordi, Ali

Abstract

Wind turbines are used in a variety of applications with different performance requirements. Investigating the influence of scaling on wind turbine characteristics can pave the way to utilize the experience gained from a smaller turbine for a larger one. In this paper, the effects of wind turbine size on aerodynamic characteristics of a rotor blade are examined using CFD simulation. NREL phase VI wind turbine rotor was simulated in order to validate the results and ensure the accuracy of the CFD model. A 2 MW wind turbine was then chosen as a large turbine and a scaled down model of its rotor was simulated numerically. The results of the simulation were introduced to Similarity Theory relations in order to predict the aerodynamic characteristics of the 2 MW wind turbine. The 2 MW turbine was also simulated and the results of the simulation were compared to predictions of Similarity Theory. It was observed that the results of the simulation completely follow the values predicted by Similarity Theory. Both Similarity Theory predictions and simulation results demonstrated that the torque increases with the cube of change in rotor diameter whereas the thrust value and aerodynamic forces grow with the square of change in diameter.

Suggested Citation

  • Giahi, Mohammad Hossein & Jafarian Dehkordi, Ali, 2016. "Investigating the influence of dimensional scaling on aerodynamic characteristics of wind turbine using CFD simulation," Renewable Energy, Elsevier, vol. 97(C), pages 162-168.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:162-168
    DOI: 10.1016/j.renene.2016.05.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116304694
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.05.059?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. Singh, Ronit K. & Ahmed, M. Rafiuddin, 2013. "Blade design and performance testing of a small wind turbine rotor for low wind speed applications," Renewable Energy, Elsevier, vol. 50(C), pages 812-819.
    2. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    3. Ramos-García, Néstor & Sørensen, Jens Nørkær & Shen, Wen Zhong, 2014. "Validation of a three-dimensional viscous–inviscid interactive solver for wind turbine rotors," Renewable Energy, Elsevier, vol. 70(C), pages 78-92.
    4. Make, Michel & Vaz, Guilherme, 2015. "Analyzing scaling effects on offshore wind turbines using CFD," Renewable Energy, Elsevier, vol. 83(C), pages 1326-1340.
    5. Lanzafame, R. & Messina, M., 2013. "Advanced brake state model and aerodynamic post-stall model for horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 415-420.
    Full references (including those not matched with items on IDEAS)

    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. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2020. "URANS simulations of a horizontal axis wind turbine under stall condition using Reynolds stress turbulence models," Energy, Elsevier, vol. 213(C).
    2. Yilmaz, Oktay, 2023. "Low-speed, low induction multi-blade rotor for energy efficient small wind turbines," Energy, Elsevier, vol. 282(C).
    3. 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.
    4. Talavera, Miguel & Shu, Fangjun, 2017. "Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel," Renewable Energy, Elsevier, vol. 109(C), pages 363-371.
    5. 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.
    6. 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).
    7. Fei Zhao & Yihan Gao & Tengyuan Wang & Jinsha Yuan & Xiaoxia Gao, 2020. "Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    8. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "A case study on the calibration of the k–ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils," Energy, Elsevier, vol. 97(C), pages 144-150.
    9. N. Aravindhan & M. P. Natarajan & S. Ponnuvel & P.K. Devan, 2023. "Recent developments and issues of small-scale wind turbines in urban residential buildings- A review," Energy & Environment, , vol. 34(4), pages 1142-1169, June.
    10. Jinghua Lin & You-Lin Xu & Yong Xia & Chao Li, 2019. "Structural Analysis of Large-Scale Vertical-Axis Wind Turbines, Part I: Wind Load Simulation," Energies, MDPI, vol. 12(13), pages 1-31, July.
    11. Ikeda, Teruaki & Tanaka, Hiroto & Yoshimura, Ryosuke & Noda, Ryusuke & Fujii, Takeo & Liu, Hao, 2018. "A robust biomimetic blade design for micro wind turbines," Renewable Energy, Elsevier, vol. 125(C), pages 155-165.
    12. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    13. Xiao, Han & Liu, Zhenwei & Zhang, Ran & Kelham, Andrew & Xu, Xiangyang & Wang, Xu, 2021. "Study of a novel rotational speed amplified dual turbine wheel wave energy converter," Applied Energy, Elsevier, vol. 301(C).
    14. Liu, Pengyin & Yu, Guohua & Zhu, Xiaocheng & Du, Zhaohui, 2014. "Unsteady aerodynamic prediction for dynamic stall of wind turbine airfoils with the reduced order modeling," Renewable Energy, Elsevier, vol. 69(C), pages 402-409.
    15. Dallatu Abbas Umar & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Ammar Ahmed Alkahtani & Talal Yusaf, 2022. "Design and Optimization of a Small-Scale Horizontal Axis Wind Turbine Blade for Energy Harvesting at Low Wind Profile Areas," Energies, MDPI, vol. 15(9), pages 1-22, April.
    16. Ali, Qazi Shahzad & Kim, Man-Hoe, 2021. "Design and performance analysis of an airborne wind turbine for high-altitude energy harvesting," Energy, Elsevier, vol. 230(C).
    17. Garzozi, A. & Greenblatt, D., 2022. "Exploiting the Coandă effect for wind-driven reciprocating RO desalination," Energy, Elsevier, vol. 238(PC).
    18. Ying, P. & Chen, Y.K. & Xu, Y.G. & Tian, Y., 2015. "Computational and experimental investigations of an omni-flow wind turbine," Applied Energy, Elsevier, vol. 146(C), pages 74-83.
    19. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
    20. Bontempo, R. & Manna, M., 2014. "Performance analysis of open and ducted wind turbines," Applied Energy, Elsevier, vol. 136(C), pages 405-416.

    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:97:y:2016:i:c:p:162-168. 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.