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A study of the wake effects on the wind characteristics and fatigue loads for the turbines in a wind farm

Citations

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  1. Jae-ho Jeong & Kwangtae Ha, 2020. "Evaluation of Wind Flow Characteristics by RANS-Based Numerical Site Calibration (NSC) Method with Met-Tower Measurements and Its Application to a Complex Terrain," Energies, MDPI, vol. 13(19), pages 1-16, October.
  2. Croonenbroeck, Carsten & Ambach, Daniel, 2014. "Censored spatial wind power prediction with random effects," Discussion Papers 362, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
  3. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
  4. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
  5. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
  6. Ren, Guorui & Liu, Jinfu & Wan, Jie & Li, Fei & Guo, Yufeng & Yu, Daren, 2018. "The analysis of turbulence intensity based on wind speed data in onshore wind farms," Renewable Energy, Elsevier, vol. 123(C), pages 756-766.
  7. Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2020. "Experimental study on wind speeds in a complex-terrain wind farm and analysis of wake effects," Applied Energy, Elsevier, vol. 272(C).
  8. Wang, Yan & Lu, Pan & Zhou, Yongze & Ge, Mingwei & Li, Rennian, 2025. "Impact of atmospheric stability on wind farm performance: Insights from internal boundary layer dynamics," Energy, Elsevier, vol. 321(C).
  9. Khadijah Barashid & Amr Munshi & Ahmad Alhindi, 2023. "Wind Farm Power Prediction Considering Layout and Wake Effect: Case Study of Saudi Arabia," Energies, MDPI, vol. 16(2), pages 1-22, January.
  10. Ge, Mingwei & Wu, Ying & Liu, Yongqian & Li, Qi, 2019. "A two-dimensional model based on the expansion of physical wake boundary for wind-turbine wakes," Applied Energy, Elsevier, vol. 233, pages 975-984.
  11. Hongbin Liu & Ziyan Wang & Yizhuo Liu & Jie Zhou & Chen Chen & Haoyuan Ma & Xi Huang & Hongqing Wang & Xiaodong Ji, 2025. "A Transformer-Based Hybrid Neural Network Integrating Multiresolution Turbulence Intensity and Independent Modeling of Multiple Meteorological Features for Wind Speed Forecasting," Energies, MDPI, vol. 18(17), pages 1-38, August.
  12. Lu, Pan & Wang, Yan & Zhou, Yongze & Ge, Mingwei & Li, Rennian, 2025. "Large-eddy simulation of wind farm wake behavior and power efficiency: Effects of atmospheric stratification and staggered configurations," Renewable Energy, Elsevier, vol. 249(C).
  13. Zhang, Xiaojuan & Zhang, Chen & Cai, Xipeng & Zhu, Yihua & Luo, Chao, 2025. "A novel spatiotemporal Fourier neural operator for dynamic wake prediction," Energy, Elsevier, vol. 341(C).
  14. De-Zhi Wei & Ni-Na Wang & De-Cheng Wan, 2021. "Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model," Energies, MDPI, vol. 14(15), pages 1-26, July.
  15. Kang, Yujoo & Kim, Hyebin & Lee, Sang, 2023. "Benefits of individual pitch control on offshore wind turbine submerged in upstream wake," Renewable Energy, Elsevier, vol. 217(C).
  16. Díaz, H. & Silva, D. & Bernardo, C. & Guedes Soares, C., 2023. "Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework," Renewable Energy, Elsevier, vol. 204(C), pages 449-474.
  17. Liu, Yige & Zhao, Zhenzhou & Liu, Yan & Ali, Kashif & Liu, Huiwen & Ma, Yuanzhuo & Wei, Shangshang, 2026. "An optimized management strategy for wind turbines under wind curtailment condition considering wake effect," Renewable Energy, Elsevier, vol. 260(C).
  18. Croonenbroeck, Carsten & Hüttel, Silke, 2017. "Quantifying the economic efficiency impact of inaccurate renewable energy price forecasts," Energy, Elsevier, vol. 134(C), pages 767-774.
  19. Shid-Moosavi, Sina & Di Cioccio, Fabrizio & Haghi, Rad & Tronci, Eleonora Maria & Moaveni, Babak & Liberatore, Sauro & Hines, Eric, 2025. "Modeling and experimentally-driven sensitivity analysis of wake-induced power loss in offshore wind farms: Insights from Block Island Wind Farm," Renewable Energy, Elsevier, vol. 241(C).
  20. Croonenbroeck, Carsten & Ambach, Daniel, 2015. "Censored spatial wind power prediction with random effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 613-622.
  21. Meng, Hang & Li, Li & Zhang, Jinhua, 2020. "A preliminary numerical study of the wake effects on the fatigue load for wind farm based on elastic actuator line model," Renewable Energy, Elsevier, vol. 162(C), pages 788-801.
  22. Jiang, Yuhang & Shen, WenZhong & Lin, Jianwei & Zhu, Weijun & Sun, Zhenye & Feng, Ju, 2026. "An advanced fatigue load model and comparison of newly developed algorithms for wind farm layout optimization," Renewable Energy, Elsevier, vol. 259(C).
  23. Muhammad Bin Ali & Zeshan Ahmad & Saad Alshahrani & Muhammad Rizwan Younis & Irsa Talib & Muhammad Imran, 2022. "A Case Study: Layout Optimization of Three Gorges Wind Farm Pakistan, Using Genetic Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
  24. Francesco Castellani & Marco Buzzoni & Davide Astolfi & Gianluca D’Elia & Giorgio Dalpiaz & Ludovico Terzi, 2017. "Wind Turbine Loads Induced by Terrain and Wakes: An Experimental Study through Vibration Analysis and Computational Fluid Dynamics," Energies, MDPI, vol. 10(11), pages 1-19, November.
  25. Wang, Yan & Lu, Pan & Zhou, Yongze & Guan, Ronghu & Li, Rennian, 2025. "Insight into the impact of turbine-array configurations on the power output and wake effects of a finite-size wind farm," Renewable Energy, Elsevier, vol. 255(C).
  26. Kuichao Ma & Huanqiang Zhang & Xiaoxia Gao & Xiaodong Wang & Heng Nian & Wei Fan, 2024. "Research on Evaluation Method of Wind Farm Wake Energy Efficiency Loss Based on SCADA Data Analysis," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
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