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Investigations on the Unsteady Aerodynamic Characteristics of a Horizontal-Axis Wind Turbine during Dynamic Yaw Processes

Author

Listed:
  • Xiaodong Wang

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, North China Electric Power University, Beijing 102206, China)

  • Zhaoliang Ye

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, North China Electric Power University, Beijing 102206, China
    China Huaneng Clean Energy Research Institute, Beijing 102209, China)

  • Shun Kang

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, North China Electric Power University, Beijing 102206, China)

  • Hui Hu

    (Department of Aerospace Engineering, Iowa State University, Ames, IA 50011, USA)

Abstract

Wind turbines inevitably experience yawed flows, resulting in fluctuations of the angle of attack (AOA) of airfoils, which can considerably impact the aerodynamic characteristics of the turbine blades. In this paper, a horizontal-axis wind turbine (HAWT) was modeled using a structured grid with multiple blocks. Then, the aerodynamic characteristics of the wind turbine were investigated under static and dynamic yawed conditions using the Unsteady Reynolds Averaged Navier-Stokes (URANS) method. In addition, start-stop yawing rotations at two different velocities were studied. The results suggest that AOA fluctuation under yawing conditions is caused by two separate effects: blade advancing & retreating and upwind & downwind yawing. At a positive yaw angle, the blade advancing & retreating effect causes a maximum AOA at an azimuth angle of 0°. Moreover, the effect is more dominant in inboard airfoils compared to outboard airfoils. The upwind & downwind yawing effect occurs when the wind turbine experiences dynamic yawing motion. The effect increases the AOA when the blade is yawing upwind and vice versa. The phenomena become more dominant with the increase of yawing rate. The torque of the blade in the forward yawing condition is much higher than in backward yawing, owing to the reversal of the yaw velocity.

Suggested Citation

  • Xiaodong Wang & Zhaoliang Ye & Shun Kang & Hui Hu, 2019. "Investigations on the Unsteady Aerodynamic Characteristics of a Horizontal-Axis Wind Turbine during Dynamic Yaw Processes," Energies, MDPI, vol. 12(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3124-:d:257582
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    References listed on IDEAS

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    1. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.
    2. Song, Dongran & Fan, Xinyu & Yang, Jian & Liu, Anfeng & Chen, Sifan & Joo, Young Hoon, 2018. "Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method," Applied Energy, Elsevier, vol. 224(C), pages 267-279.
    3. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
    4. Guo-Wei Qian & Takeshi Ishihara, 2018. "A New Analytical Wake Model for Yawed Wind Turbines," Energies, MDPI, vol. 11(3), pages 1-24, March.
    5. 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.
    6. Rahimi, H. & Schepers, J.G. & Shen, W.Z. & García, N. Ramos & Schneider, M.S. & Micallef, D. & Ferreira, C.J. Simao & Jost, E. & Klein, L. & Herráez, I., 2018. "Evaluation of different methods for determining the angle of attack on wind turbine blades with CFD results under axial inflow conditions," Renewable Energy, Elsevier, vol. 125(C), pages 866-876.
    7. Qiu, Yong-Xing & Wang, Xiao-Dong & Kang, Shun & Zhao, Ming & Liang, Jun-Yu, 2014. "Predictions of unsteady HAWT aerodynamics in yawing and pitching using the free vortex method," Renewable Energy, Elsevier, vol. 70(C), pages 93-106.
    8. Daniel Micallef & Tonio Sant, 2016. "A Review of Wind Turbine Yaw Aerodynamics," Chapters, in: Abdel Ghani Aissaoui & Ahmed Tahour (ed.), Wind Turbines - Design, Control and Applications, IntechOpen.
    9. Aitor Saenz-Aguirre & Ekaitz Zulueta & Unai Fernandez-Gamiz & Javier Lozano & Jose Manuel Lopez-Guede, 2019. "Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control," Energies, MDPI, vol. 12(3), pages 1-17, January.
    10. Wim Munters & Johan Meyers, 2018. "Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization," Energies, MDPI, vol. 11(1), pages 1-32, January.
    11. Wen, Binrong & Dong, Xingjian & Tian, Xinliang & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2018. "The power performance of an offshore floating wind turbine in platform pitching motion," Energy, Elsevier, vol. 154(C), pages 508-521.
    12. Jeong, Min-Soo & Kim, Sang-Woo & Lee, In & Yoo, Seung-Jae & Park, K.C., 2013. "The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 60(C), pages 256-268.
    13. Chengyong Zhu & Tongguang Wang & Wei Zhong, 2019. "Combined Effect of Rotational Augmentation and Dynamic Stall on a Horizontal Axis Wind Turbine," Energies, MDPI, vol. 12(8), pages 1-20, April.
    14. Yan, Shu & Shi, Shaoping & Chen, Xinming & Wang, Xiaodong & Mao, Linzhi & Liu, Xiaojie, 2018. "Numerical simulations of flow interactions between steep hill terrain and large scale wind turbine," Energy, Elsevier, vol. 151(C), pages 740-747.
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    3. Mahmoud G. Hemeida & Ashraf M. Hemeida & Tomonobu Senjyu & Dina Osheba, 2022. "Renewable Energy Resources Technologies and Life Cycle Assessment: Review," Energies, MDPI, vol. 15(24), pages 1-36, December.
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    7. Guo, Yize & Wang, Xiaodong & Mei, Yuanhang & Ye, Zhaoliang & Guo, Xiaojiang, 2022. "Effect of coupled platform pitch-surge motions on the aerodynamic characters of a horizontal floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 278-297.
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    9. Xiaoling Liang & Zheng Li & Xingxing Han & Shifeng Fu & Weijun Zhu & Tianmei Pu & Zhenye Sun & Hua Yang & Wenzhong Shen, 2024. "Study on Aerodynamic Performance and Wake Characteristics of a Floating Offshore Wind Turbine in Wind–Wave Coupling Field," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
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