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The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade

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  1. 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.
  2. Davide Astolfi & Francesco Castellani & Matteo Becchetti & Andrea Lombardi & Ludovico Terzi, 2020. "Wind Turbine Systematic Yaw Error: Operation Data Analysis Techniques for Detecting It and Assessing Its Performance Impact," Energies, MDPI, vol. 13(9), pages 1-17, May.
  3. 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.
  4. 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.
  5. Huang, Wei & Tang, Rongjiang & Ma, Huihuan, 2024. "The review of Vortex lattice method for offshore wind turbines," Renewable Energy, Elsevier, vol. 236(C).
  6. Huanran Guo & Liru Zhang & Jing Jia & Ding Du & Anhao Wei & Tianhao Liu, 2025. "Structural Characteristics of Wind Turbines with Different Blade Materials Under Yaw Condition," Energies, MDPI, vol. 18(21), pages 1-19, October.
  7. Shuting Wan & Lifeng Cheng & Xiaoling Sheng, 2015. "Effects of Yaw Error on Wind Turbine Running Characteristics Based on the Equivalent Wind Speed Model," Energies, MDPI, vol. 8(7), pages 1-16, June.
  8. Wu, Guangxing & Zhang, Chaoyu & Cai, Chang & Yang, Ke & Shi, Kezhong, 2020. "Uncertainty prediction on the angle of attack of wind turbine blades based on the field measurements," Energy, Elsevier, vol. 200(C).
  9. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
  10. Weimin Wu & Xiongfei Liu & Jingcheng Liu & Shunpeng Zeng & Chuande Zhou & Xiaomei Wang, 2021. "Investigation into Yaw Motion Influence of Horizontal-Axis Wind Turbine on Wake Flow Using LBM-LES," Energies, MDPI, vol. 14(17), pages 1-37, August.
  11. Jing, Bo & Qian, Zheng & Pei, Yan & Zhang, Lizhong & Yang, Tingyi, 2020. "Improving wind turbine efficiency through detection and calibration of yaw misalignment," Renewable Energy, Elsevier, vol. 160(C), pages 1217-1227.
  12. He, Ruiyang & Yang, Hongxing & Lu, Lin, 2023. "Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control," Applied Energy, Elsevier, vol. 337(C).
  13. Shi, Zijie & Gao, Chuanqiang & Zhang, Weiwei, 2025. "Dynamic stall modeling of the wind turbine blade with a data-knowledge-driven method," Energy, Elsevier, vol. 324(C).
  14. Davide Astolfi & Ravi Pandit & Linyue Gao & Jiarong Hong, 2022. "Individuation of Wind Turbine Systematic Yaw Error through SCADA Data," Energies, MDPI, vol. 15(21), pages 1-5, November.
  15. Dai, Juchuan & He, Tao & Li, Mimi & Long, Xin, 2021. "Performance study of multi-source driving yaw system for aiding yaw control of wind turbines," Renewable Energy, Elsevier, vol. 163(C), pages 154-171.
  16. 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.
  17. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
  18. Ke, Shitang & Yu, Wenlin & Wang, Tongguang & Ge, Yaojun, 2019. "Aerodynamic performance and wind-induced effect of large-scale wind turbine system under yaw and wind-rain combination action," Renewable Energy, Elsevier, vol. 136(C), pages 235-253.
  19. Liu, Songyang & Xin, Zhiqiang & Wang, Lei & Xu, Yanming & Cai, Zhiming, 2025. "Fluid–structure interaction simulation of the effect of static yaw control on the aerodynamic responses and wake characteristics of floating offshore wind turbines," Energy, Elsevier, vol. 330(C).
  20. Yang, Jian & Wang, Li & Song, Dongran & Huang, Chaoneng & Huang, Liansheng & Wang, Junlei, 2022. "Incorporating environmental impacts into zero-point shifting diagnosis of wind turbines yaw angle," Energy, Elsevier, vol. 238(PA).
  21. 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.
  22. 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.
  23. Yan Pei & Zheng Qian & Bo Jing & Dahai Kang & Lizhong Zhang, 2018. "Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection," Energies, MDPI, vol. 11(3), pages 1-14, March.
  24. Škvorc, Petar & Kozmar, Hrvoje, 2021. "Wind energy harnessing on tall buildings in urban environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  25. Qian Li & Danyang Chen & Hangbing Lin & Xiaolei Yang, 2025. "A Review of Diagnostic Methods for Yaw Errors in Horizontal Axis Wind Turbines," Energies, MDPI, vol. 18(3), pages 1-17, January.
  26. Jeong, Min-Soo & Cha, Myung-Chan & Kim, Sang-Woo & Lee, In, 2015. "Numerical investigation of optimal yaw misalignment and collective pitch angle for load imbalance reduction of rigid and flexible HAWT blades under sheared inflow," Energy, Elsevier, vol. 84(C), pages 518-532.
  27. Wang, Yibo & Cai, Chang & Liao, Caicai & Hu, Zhiqiang & Zhang, Lei & Sun, Xiangyu & Zhong, Xiaohui & Li, Qing'an, 2025. "Aeroelastic stability analysis of large-scale wind turbine blades under different operating conditions based on system identification and Floquet theory," Energy, Elsevier, vol. 326(C).
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