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The Aerodynamic Performance of Horizontal Axis Wind Turbines under Rotation Condition

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  • Wenyan Li

    (GD Power Inner Mongolia New Energy Development Co., Ltd., Hohhot 010010, China)

  • Yuxuan Xiong

    (School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Guoliang Su

    (GD Power Inner Mongolia New Energy Development Co., Ltd., Hohhot 010010, China)

  • Zuyang Ye

    (School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Guowu Wang

    (GD Power Inner Mongolia New Energy Development Co., Ltd., Hohhot 010010, China)

  • Zhao Chen

    (GD Power Inner Mongolia New Energy Development Co., Ltd., Hohhot 010010, China)

Abstract

The near-surface unsteady incoming flow in the atmospheric boundary layer has a great influence on the aerodynamic performance of horizontal axis wind turbines. To consider the effect of the rotation of the blade on the aerodynamic state of a wind turbine near the ground, the fluid-structure interaction (FSI) method based on the shear stress transfer (SST) turbulence model is applied to analyze the unsteady aerodynamic interaction characteristics including solving the velocity field, pressure field, structural response state, variation of deformation, and output power in the flow field of the wind turbine. The deformation fluctuation points of different blades in the upwind and downwind regions were observed to move towards the blade tips with increasing rotational speed. The variations of flow velocity and pressure that occur along the radial direction of the wind turbine are observed. The velocity increases from the root to the tip of the blade. The tower shadow effect causes the blade deformation in the upper and lower wind areas to fluctuate. It is more obvious when the blade overlaps with the tower; the overall displacement under the effect of rotation has a large increase compared with the shutdown. The peak increments reach 2.1437 mm to 0.8674 mm; under the effect of inter-action wind speed increased, wind turbine output power increased from 68.33 kW to 84.33 kW, respectively. It helps to better understand the aerodynamic performance of wind turbines, prolong the service life, and optimize the design.

Suggested Citation

  • Wenyan Li & Yuxuan Xiong & Guoliang Su & Zuyang Ye & Guowu Wang & Zhao Chen, 2023. "The Aerodynamic Performance of Horizontal Axis Wind Turbines under Rotation Condition," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12553-:d:1220034
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    References listed on IDEAS

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    1. Regodeseves, P. García & Morros, C. Santolaria, 2020. "Unsteady numerical investigation of the full geometry of a horizontal axis wind turbine: Flow through the rotor and wake," Energy, Elsevier, vol. 202(C).
    2. Youjin Kim & Galih Bangga & Antonio Delgado, 2020. "Investigations of HAWT Airfoil Shape Characteristics and 3D Rotational Augmentation Sensitivity Toward the Aerodynamic Performance Improvement," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    3. Dai, Kaoshan & Bergot, Anthony & Liang, Chao & Xiang, Wei-Ning & Huang, Zhenhua, 2015. "Environmental issues associated with wind energy – A review," Renewable Energy, Elsevier, vol. 75(C), pages 911-921.
    4. Bai, Chi-Jeng & Wang, Wei-Cheng, 2016. "Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 506-519.
    5. Shaler, Kelsey & Kecskemety, Krista M. & McNamara, Jack J., 2019. "Benchmarking of a Free Vortex Wake Model for Prediction of Wake Interactions," Renewable Energy, Elsevier, vol. 136(C), pages 607-620.
    6. Zhang, Lei & Li, Xingxing & Li, Shuang & Bai, Jingyan & Xu, Jin, 2019. "Unstable aerodynamic performance of a very thick wind turbine airfoil CAS-W1-450," Renewable Energy, Elsevier, vol. 132(C), pages 1112-1120.
    7. 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.
    8. Hércules Araújo Oliveira & José Gomes de Matos & Luiz Antonio de Souza Ribeiro & Osvaldo Ronald Saavedra & Jerson Rogério Pinheiro Vaz, 2023. "Assessment of Correction Methods Applied to BEMT for Predicting Performance of Horizontal-Axis Wind Turbines," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    9. Danao, Louis Angelo & Edwards, Jonathan & Eboibi, Okeoghene & Howell, Robert, 2014. "A numerical investigation into the influence of unsteady wind on the performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 116(C), pages 111-124.
    10. Jing Dong & Axelle Viré & Carlos Simao Ferreira & Zhangrui Li & Gerard van Bussel, 2019. "A Modified Free Wake Vortex Ring Method for Horizontal-Axis Wind Turbines," Energies, MDPI, vol. 12(20), pages 1-24, October.
    11. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    12. Li, Y. & Castro, A.M. & Sinokrot, T. & Prescott, W. & Carrica, P.M., 2015. "Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence," Renewable Energy, Elsevier, vol. 76(C), pages 338-361.
    13. Sikandar Khan, 2023. "A Modeling Study Focused on Improving the Aerodynamic Performance of a Small Horizontal Axis Wind Turbine," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    14. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
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