IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v163y2021icp2029-2036.html
   My bibliography  Save this article

Numerical simulation of the Mexico wind turbine using the actuator disk model along with the 3D correction of aerodynamic coefficients in OpenFOAM

Author

Listed:
  • Amini, Shayesteh
  • Golzarian, Mahmood Reza
  • Mahmoodi, Esmail
  • Jeromin, Andres
  • Abbaspour-Fard, Mohammad Hossein

Abstract

A foremost element in aerodynamic behavior analysis of wind turbines is numerical simulation. Actuator disk model is a method which enables us to simulate and analyze the flow fields and wakes behind the rotor by reducing the fluid computation around the rotor and solving the Navier-Stokes equations without considering the blade boundary layer. In addition of the need for constructing a realistic geometrical model, one also must run a simulation with very small grid spacing and time steps to resolve the blade boundary layer dynamics leading to the aerodynamic forces, which is also extremely expensive. In this paper actuator disk model along with a 3D corrected aerodynamic coefficients was implemented in the OpenFOAM software to simulate the MEXICO wind turbine rotor. The simulations were performed under three conditions: turbulent, design and stall conditions. The results of simulation including an estimation of the blade forces and the wakes velocity field were compared with the experimental results. It was found that the 3D corrected aerodynamic coefficients of airfoils led to an improved agreement between the simulation and experimental results, compared to a model implementing original aerodynamic coefficients.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:2029-2036
    DOI: 10.1016/j.renene.2020.10.120
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812031692X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.10.120?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.
    2. Kim, Taewoo & Oh, Sejong & Yee, Kwanjung, 2015. "Improved actuator surface method for wind turbine application," Renewable Energy, Elsevier, vol. 76(C), pages 16-26.
    3. Castellani, Francesco & Vignaroli, Andrea, 2013. "An application of the actuator disc model for wind turbine wakes calculations," Applied Energy, Elsevier, vol. 101(C), pages 432-440.
    4. Yang, Hua & Shen, Wenzhong & Xu, Haoran & Hong, Zedong & Liu, Chao, 2014. "Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD," Renewable Energy, Elsevier, vol. 70(C), pages 107-115.
    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. Hamlaoui, M.N. & Smaili, A. & Dobrev, I. & Pereira, M. & Fellouah, H. & Khelladi, S., 2022. "Numerical and experimental investigations of HAWT near wake predictions using Particle Image Velocimetry and Actuator Disk Method," Energy, Elsevier, vol. 238(PB).

    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, 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.
    2. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    3. 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.
    4. 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).
    5. Ge, Mingwei & Wu, Ying & Liu, Yongqian & Li, Qi, 2019. "A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes," Applied Energy, Elsevier, vol. 233, pages 975-984.
    6. Chen, Bei & Hua, Xugang & Zhang, Zili & Nielsen, Søren R.K. & Chen, Zhengqing, 2021. "Active flutter control of the wind turbines using double-pitched blades," Renewable Energy, Elsevier, vol. 163(C), pages 2081-2097.
    7. Gao, Xiaoxia & Chen, Yao & Xu, Shinai & Gao, Wei & Zhu, Xiaoxun & Sun, Haiying & Yang, Hongxing & Han, Zhonghe & Wang, Yu & Lu, Hao, 2022. "Comparative experimental investigation into wake characteristics of turbines in three wind farms areas with varying terrain complexity from LiDAR measurements," Applied Energy, Elsevier, vol. 307(C).
    8. Brown, S.A. & Ransley, E.J. & Greaves, D.M., 2020. "Developing a coupled turbine thrust methodology for floating tidal stream concepts: Verification under prescribed motion," Renewable Energy, Elsevier, vol. 147(P1), pages 529-540.
    9. Erkan, Onur & Özkan, Musa & Karakoç, T. Hikmet & Garrett, Stephen J. & Thomas, Peter J., 2020. "Investigation of aerodynamic performance characteristics of a wind-turbine-blade profile using the finite-volume method," Renewable Energy, Elsevier, vol. 161(C), pages 1359-1367.
    10. Lapa, Gabriel Vicentin Pereira & Gay Neto, Alfredo & Franzini, Guilherme Rosa, 2023. "Effects of blade torsion on IEA 15MW turbine rotor operation," Renewable Energy, Elsevier, vol. 219(P2).
    11. Cai, Chang & Yang, Yingjian & Jia, Yan & Wu, Guangxing & Zhang, Hairui & Yuan, Feiqi & Qian, Quan & Li, Qing'an, 2023. "Aerodynamic load evaluation of leading edge and trailing edge windward states of large-scale wind turbine blade under parked condition," Applied Energy, Elsevier, vol. 350(C).
    12. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
    13. Francesco Mazzeo & Derek Micheletto & Alessandro Talamelli & Antonio Segalini, 2022. "An Experimental Study on a Wind Turbine Rotor Affected by Pitch Imbalance," Energies, MDPI, vol. 15(22), pages 1-16, November.
    14. J. G. Schepers & S. J. Schreck, 2019. "Aerodynamic measurements on wind turbines," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(1), January.
    15. Li, Qing’an & Xu, Jianzhong & Kamada, Yasunari & Takao, Maeda & Nishimura, Shogo & Wu, Guangxing & Cai, Chang, 2020. "Experimental investigations of airfoil surface flow of a horizontal axis wind turbine with LDV measurements," Energy, Elsevier, vol. 191(C).
    16. Xin Liu & Lailong Li & Shaoping Shi & Xinming Chen & Songhua Wu & Wenxin Lao, 2021. "Three-Dimensional LiDAR Wake Measurements in an Offshore Wind Farm and Comparison with Gaussian and AL Wake Models," Energies, MDPI, vol. 14(24), pages 1-15, December.
    17. Zhong, Hongmin & Du, Pingan & Tang, Fangning & Wang, Li, 2015. "Lagrangian dynamic large-eddy simulation of wind turbine near wakes combined with an actuator line method," Applied Energy, Elsevier, vol. 144(C), pages 224-233.
    18. 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.
    19. Huanqiang, Zhang & Xiaoxia, Gao & Hongkun, Lu & Qiansheng, Zhao & Xiaoxun, Zhu & Yu, Wang & Fei, Zhao, 2024. "Investigation of a new 3D wake model of offshore floating wind turbines subjected to the coupling effects of wind and wave," Applied Energy, Elsevier, vol. 365(C).
    20. Dominguez, Favio & Achard, Jean-Luc & Zanette, Jerônimo & Corre, Christophe, 2016. "Fast power output prediction for a single row of ducted cross-flow water turbines using a BEM-RANS approach," Renewable Energy, Elsevier, vol. 89(C), pages 658-670.

    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:163:y:2021:i:c:p:2029-2036. 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.