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

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  • 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
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    References listed on IDEAS

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    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.
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    Citations

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    Cited by:

    1. 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).
    2. 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.
    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. Qian, XiaoYi & Sun, TianHe & Zhang, YuXian & Wang, BaoShi & Awad Gendeel, Mohammed Altayeb, 2023. "Wind turbine fault detection based on spatial-temporal feature and neighbor operation state," Renewable Energy, Elsevier, vol. 219(P1).
    6. de Oliveira, Marielle & Puraca, Rodolfo C. & Carmo, Bruno S., 2023. "A study on the influence of the numerical scheme on the accuracy of blade-resolved simulations employed to evaluate the performance of the NREL 5 MW wind turbine rotor in full scale," Energy, Elsevier, vol. 283(C).
    7. 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).
    8. Liu, Ding Peng & Ferri, Giulio & Heo, Taemin & Marino, Enzo & Manuel, Lance, 2024. "On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model," Renewable Energy, Elsevier, vol. 225(C).

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