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Advancement of an analytical double-Gaussian full wind turbine wake model

Citations

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Cited by:

  1. Wang, Yu & Wei, Shanbi & Yang, Wei & Chai, Yi, 2023. "Adaptive economic predictive control for offshore wind farm active yaw considering generation uncertainty," Applied Energy, Elsevier, vol. 351(C).
  2. 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).
  3. Dongqin Zhang & Yang Liang & Chao Li & Yiqing Xiao & Gang Hu, 2022. "Applicability of Wake Models to Predictions of Turbine-Induced Velocity Deficit and Wind Farm Power Generation," Energies, MDPI, vol. 15(19), pages 1-26, October.
  4. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
  5. Hu, Weicheng & Liu, Zhenqing & Li, Tian & Deng, Yangchen & Guo, Wenjie, 2025. "A double Gaussian wake model for single and multiple yawed wind turbines," Energy, Elsevier, vol. 324(C).
  6. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
  7. Zhou, Pinhan & Shen, Lian & Han, Yan & Hu, Peng & Xu, Renze & Mi, Lihua & Cai, C.S., 2026. "A novel three-dimensional yaw wake analytical model and experimental validation using particle image velocimetry," Energy, Elsevier, vol. 344(C).
  8. Wang, Mingwei & Zhang, Mingming & Qin, Caiyan & Sun, Haiying & Deng, Xiaowei, 2026. "A data-driven double-Gaussian wake model reflecting the wake evolution process," Renewable Energy, Elsevier, vol. 257(C).
  9. Sadek, Zein & Scott, Ryan & Hamilton, Nicholas & Cal, Raúl Bayoán, 2023. "A three-dimensional, analytical wind turbine wake model: Flow acceleration, empirical correlations, and continuity," Renewable Energy, Elsevier, vol. 209(C), pages 298-309.
  10. Zhang, Shaohai & Gao, Xiaoxia & Ma, Wanli & Lu, Hongkun & Lv, Tao & Xu, Shinai & Zhu, Xiaoxun & Sun, Haiying & Wang, Yu, 2023. "Derivation and verification of three-dimensional wake model of multiple wind turbines based on super-Gaussian function," Renewable Energy, Elsevier, vol. 215(C).
  11. Liu, Haixiao & Fu, Jianing & Liang, Zetao & Liang, Zhichang & Zhang, Yuming & Xiao, Zhong, 2022. "A simple method of fast evaluating full-field wake velocities for arbitrary wind turbine arrays on complex terrains," Renewable Energy, Elsevier, vol. 201(P1), pages 961-976.
  12. Qian, Guo-Wei & Ishihara, Takeshi, 2025. "A novel double-Gaussian full wake model for wind turbines considering dependence on thrust coefficient and ambient turbulence intensity," Applied Energy, Elsevier, vol. 391(C).
  13. Hamilton, Nicholas & Doubrawa, Paula & Moriarty, Patrick & Letizia, Stefano & Thedin, Regis, 2025. "Modal dynamics of wind turbine wake meandering from lidar observations," Renewable Energy, Elsevier, vol. 254(C).
  14. Ma, Gaosheng & Zheng, Quan & Li, Deshun & Wang, Pengqi & Kong, Lingduo, 2026. "Interaction between wind turbine wakes and sand transport in a wind-sand environment," Renewable Energy, Elsevier, vol. 256(PH).
  15. Bao, Yuanyi & Ling, Ziyan & Zhao, Zhenzhou & Jin, Heping & Shen, Yangwu & Xiao, Yu & Xiang, Xingchen & Lu, Yanlie & Wang, Yingke & Liu, Ting, 2026. "A novel three-dimensional dual-cosine wake model for wind turbine full wake predictions," Renewable Energy, Elsevier, vol. 259(C).
  16. Dong, Guodan & Qin, Jianhua & Wu, Chutian & Xu, Chang & Yang, Xiaolei, 2026. "Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization," Renewable Energy, Elsevier, vol. 259(C).
  17. Zhang, Shaohai & Duan, Huanfeng & Lu, Lin & He, Ruiyang & Gao, Xiaoxia & Zhu, Songye, 2024. "Quantification of three-dimensional added turbulence intensity for the horizontal-axis wind turbine considering the wake anisotropy," Energy, Elsevier, vol. 294(C).
  18. Ouro, Pablo & Ghobrial, Mina & Ali, Karim & Stallard, Tim, 2025. "Numerical modelling of offshore wind-farm cluster wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
  19. Song, Mengyang & Huang, Jiancai & Shao, Xuqiang & Zhao, Shiao & Ma, Chenyu & Qi, Zaishan, 2025. "A three-dimensional dynamic wake prediction framework for multiple turbine operating states based on diffusion model," Energy, Elsevier, vol. 333(C).
  20. Gao, Xiaoxia & Zhang, Shaohai & Li, Luqing & Xu, Shinai & Chen, Yao & Zhu, Xiaoxun & Sun, Haiying & Wang, Yu & Lu, Hao, 2022. "Quantification of 3D spatiotemporal inhomogeneity for wake characteristics with validations from field measurement and wind tunnel test," Energy, Elsevier, vol. 254(PA).
  21. Shen, Lian & Zhou, Pinhan & Han, Yan & Mi, Lihua & Xu, Wenxiang & Xu, Jialu, 2025. "Wind farm layout optimization based on dynamic Levy sparrow search algorithm: A multi-parameter analysis with active yaw control," Energy, Elsevier, vol. 324(C).
  22. Zhou, Huanyu & Qiu, Yingning & Feng, Yanhui & Liu, Jing, 2022. "Power prediction of wind turbine in the wake using hybrid physical process and machine learning models," Renewable Energy, Elsevier, vol. 198(C), pages 568-586.
  23. Zhu, Xiaoxun & Chen, Yao & Xu, Shinai & Zhang, Shaohai & Gao, Xiaoxia & Sun, Haiying & Wang, Yu & Zhao, Fei & Lv, Tiancheng, 2023. "Three-dimensional non-uniform full wake characteristics for yawed wind turbine with LiDAR-based experimental verification," Energy, Elsevier, vol. 270(C).
  24. Xiao, Pengcheng & Tian, Linlin & Zhao, Ning & Song, Yilei & Wang, Zhenming & Lu, Xiyun, 2026. "An integrated model for predicting wind turbine wake velocity and turbulence intensity under different atmospheric stability regimes," Renewable Energy, Elsevier, vol. 256(PA).
  25. González-Hernández, José Genaro & Salas-Cabrera, Rubén & Vázquez-Bautista, Roberto & Ong-de-la-Cruz, Luis Manuel & Rodríguez-Guillén, Joel, 2021. "A novel MPPT PI discrete reverse-acting controller for a wind energy conversion system," Renewable Energy, Elsevier, vol. 178(C), pages 904-915.
  26. Hu, Weicheng & Yang, Qingshan & Yuan, Ziting & Yang, Fucheng, 2024. "Wind farm layout optimization in complex terrain based on CFD and IGA-PSO," Energy, Elsevier, vol. 288(C).
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