IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v146y2020icp1113-1123.html
   My bibliography  Save this article

Fluid-structure coupled investigations of the NREL 5 MW wind turbine for two downwind configurations

Author

Listed:
  • Dose, B.
  • Rahimi, H.
  • Stoevesandt, B.
  • Peinke, J.

Abstract

This work investigates the performance of a wind turbine in a downwind configuration using two different tower concepts. Being subjected to the tower shadow, wind turbine blades on downwind machines can experience higher loads compared to upwind turbines. Using alternative tower types like truss towers could influence those negative effects and therefore affect the performance of the downwind machines. For this purpose, an in-house framework for fluid-structure coupled CFD computations is used and numerical simulations are conducted on the NREL 5 MW wind turbine for two different tower concepts, namely a tubular and a truss-type tower geometry. To quantify the effect of the tower shadows on the rotor performance, first the isolated tower geometries are investigated. In the second step, the complete wind turbine with flexible blades is simulated. The obtained numerical results indicate, that the truss tower causes a more severe tower shadow than its tubular counterpart, which also recovers slower. Following that, the wind turbine blades experience more pronounced reductions in global and local forces for the truss tower configuration. Furthermore, both downwind turbine types show significant torsional blade vibrations caused by the crossing of the tower shadow. In terms of blade deflections, only small deviations can be observed.

Suggested Citation

  • Dose, B. & Rahimi, H. & Stoevesandt, B. & Peinke, J., 2020. "Fluid-structure coupled investigations of the NREL 5 MW wind turbine for two downwind configurations," Renewable Energy, Elsevier, vol. 146(C), pages 1113-1123.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:1113-1123
    DOI: 10.1016/j.renene.2019.06.110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119309449
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.06.110?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. 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.
    2. Koh, J.H. & Ng, E.Y.K., 2016. "Downwind offshore wind turbines: Opportunities, trends and technical challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 797-808.
    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. Win Naung, Shine & Nakhchi, Mahdi Erfanian & Rahmati, Mohammad, 2021. "High-fidelity CFD simulations of two wind turbines in arrays using nonlinear frequency domain solution method," Renewable Energy, Elsevier, vol. 174(C), pages 984-1005.
    2. de Oliveira, M. & Puraca, R.C. & Carmo, B.S., 2022. "Blade-resolved numerical simulations of the NREL offshore 5 MW baseline wind turbine in full scale: A study of proper solver configuration and discretization strategies," Energy, Elsevier, vol. 254(PB).
    3. Ye, Maokun & Chen, Hamn-Ching & Koop, Arjen, 2023. "High-fidelity CFD simulations for the wake characteristics of the NTNU BT1 wind turbine," Energy, Elsevier, vol. 265(C).
    4. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.
    5. Cai, Yefeng & Zhao, Haisheng & Li, Xin & Liu, Yuanchuan, 2023. "Effects of yawed inflow and blade-tower interaction on the aerodynamic and wake characteristics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 264(C).

    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. Jieyan Chen & Chengxi Li, 2020. "Design Optimization and Coupled Dynamics Analysis of an Offshore Wind Turbine with a Single Swivel Connected Tether," Energies, MDPI, vol. 13(14), pages 1-26, July.
    2. Yang, Yaru & Li, Hua & Yao, Jin & Gao, Wenxiang, 2019. "Research on the characteristic parameters and rotor layout principle of dual-rotor horizontal axis wind turbine," Energy, Elsevier, vol. 189(C).
    3. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    4. Della Posta, Giacomo & Leonardi, Stefano & Bernardini, Matteo, 2022. "A two-way coupling method for the study of aeroelastic effects in large wind turbines," Renewable Energy, Elsevier, vol. 190(C), pages 971-992.
    5. Bhardwaj, U. & Teixeira, A.P. & Soares, C. Guedes, 2019. "Reliability prediction of an offshore wind turbine gearbox," Renewable Energy, Elsevier, vol. 141(C), pages 693-706.
    6. Georgios Malliotakis & Panagiotis Alevras & Charalampos Baniotopoulos, 2021. "Recent Advances in Vibration Control Methods for Wind Turbine Towers," Energies, MDPI, vol. 14(22), pages 1-37, November.
    7. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.
    8. Qin, Chao (Chris) & Loth, Eric & Zalkind, Daniel S. & Pao, Lucy Y. & Yao, Shulong & Griffith, D. Todd & Selig, Michael S. & Damiani, Rick, 2020. "Downwind coning concept rotor for a 25 MW offshore wind turbine," Renewable Energy, Elsevier, vol. 156(C), pages 314-327.
    9. Hornshøj-Møller, Simon D. & Nielsen, Peter D. & Forooghi, Pourya & Abkar, Mahdi, 2021. "Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes," Renewable Energy, Elsevier, vol. 164(C), pages 1550-1558.
    10. Meng, Haoran & Ma, Zhe & Dou, Bingzheng & Zeng, Pan & Lei, Liping, 2020. "Investigation on the performance of a novel forward-folding rotor used in a downwind horizontal-axis turbine," Energy, Elsevier, vol. 190(C).
    11. Tobi Elusakin & Mahmood Shafiee & Tosin Adedipe & Fateme Dinmohammadi, 2021. "A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines," Energies, MDPI, vol. 14(4), pages 1-18, February.
    12. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    13. Wang, Yangwei & Lin, Jiahuan & Zhang, Jun, 2022. "Investigation of a new analytical wake prediction method for offshore floating wind turbines considering an accurate incoming wind flow," Renewable Energy, Elsevier, vol. 185(C), pages 827-849.
    14. Wu, Chutian & Yang, Xiaolei & Zhu, Yaxin, 2021. "On the design of potential turbine positions for physics-informed optimization of wind farm layout," Renewable Energy, Elsevier, vol. 164(C), pages 1108-1120.
    15. Win Naung, Shine & Nakhchi, Mahdi Erfanian & Rahmati, Mohammad, 2021. "High-fidelity CFD simulations of two wind turbines in arrays using nonlinear frequency domain solution method," Renewable Energy, Elsevier, vol. 174(C), pages 984-1005.
    16. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
    17. Druault, Philippe & Germain, Grégory, 2022. "Experimental investigation of the upstream turbulent flow modifications in front of a scaled tidal turbine," Renewable Energy, Elsevier, vol. 196(C), pages 1204-1217.
    18. Zheng, Jiancai & Wang, Nina & Wan, Decheng & Strijhak, Sergei, 2023. "Numerical investigations of coupled aeroelastic performance of wind turbines by elastic actuator line model," Applied Energy, Elsevier, vol. 330(PB).
    19. Zhen Li & Bofeng Xu & Xiang Shen & Hang Xiao & Zhiqiang Hu & Xin Cai, 2022. "Performance Analysis of Ultra-Scale Downwind Wind Turbine Based on Rotor Cone Angle Control," Energies, MDPI, vol. 15(18), pages 1-11, September.
    20. Alexandre Mathern & Christoph von der Haar & Steffen Marx, 2021. "Concrete Support Structures for Offshore Wind Turbines: Current Status, Challenges, and Future Trends," Energies, MDPI, vol. 14(7), pages 1-31, 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:146:y:2020:i:c:p:1113-1123. 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.