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Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines

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  1. Wang, Yifei & Dong, Guangzhong & Yu, Jincheng & Qin, Caiyan & Feng, Yu & Deng, Yanfei & Zhang, Mingming, 2025. "In-situ green hydrogen production from offshore wind farms, a prospective review," Renewable Energy, Elsevier, vol. 239(C).
  2. Xu, Zongyuan & Gao, Xiaoxia & Zhang, Huanqiang & Lv, Tao & Han, Zhonghe & Zhu, Xiaoxun & Wang, Yu, 2023. "Analysis of the anisotropy aerodynamic characteristics of downstream wind turbine considering the 3D wake expansion based on coupling method," Energy, Elsevier, vol. 263(PD).
  3. Peng, Wangxuan & Li, Baoliang & Ge, Mingwei & Li, Xintao & Ding, Wei & Li, Bo, 2025. "Layout optimization for offshore wind farms considering both fatigue damage and power generation," Renewable Energy, Elsevier, vol. 246(C).
  4. Hannah Darling & David P. Schmidt, 2024. "The Role of Fully Coupled Computational Fluid Dynamics for Floating Wind Applications: A Review," Energies, MDPI, vol. 17(19), pages 1-32, September.
  5. Yang, Kun & Zhang, Mingming & Yang, Shanghui & Song, Yuwei & Dong, Xinhui & Deng, Yanfei & Deng, Xiaowei, 2025. "Pareto frontier for multi-objective wind farm layout optimization balancing power production and turbine fatigue life," Renewable Energy, Elsevier, vol. 252(C).
  6. Deng, Li-Rong & Ding, Zhi-Li & Fu, Yang, 2025. "From macro to micro: A multi-scale method for assessing coastal wind energy potential in China," Applied Energy, Elsevier, vol. 389(C).
  7. Lin, Hai & Wu, Yan & Cui, Ziyuan & Yang, Sen & Yu, Xinhai & Wang, Yufei, 2025. "An integrated optimization method for distributed wind farm design considering three-dimensional complex terrain," Renewable Energy, Elsevier, vol. 255(C).
  8. Travaglini, Riccardo & Papi, Francesco & Bianchini, Alessandro, 2025. "Floating wind farms in sea basins with moderate wind speeds: a critical assessment of the potential of low-specific-power turbines in reducing the LCoE," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
  9. Wang, Han & Li, Yunzhou & Yan, Jie & Xiao, Wuyang & Han, Shuang & Liu, Yongqian, 2025. "A novel minute-scale prediction method of incoming wind conditions with limited LiDAR data," Renewable Energy, Elsevier, vol. 240(C).
  10. Zhang, Xiaofeng & Wang, Qiang & Ye, Shitong & Luo, Kun & Fan, Jianren, 2024. "Efficient layout optimization of offshore wind farm based on load surrogate model and genetic algorithm," Energy, Elsevier, vol. 309(C).
  11. Ling, Ziyan & Zhao, Zhenzhou & Liu, Yige & Liu, Huiwen & Ali, Kashif & Liu, Yan & Wen, Yifan & Wang, Dingding & Li, Shijun & Su, Chunhao, 2024. "Multi-objective layout optimization for wind farms based on non-uniformly distributed turbulence and a new three-dimensional multiple wake model," Renewable Energy, Elsevier, vol. 227(C).
  12. Tian, Sheng & Liu, Yongqian & Tian, Xinshou & Li, Baoliang & Chi, Yongning, 2024. "A wind farm control strategy for frequency regulation reserve: Optimize wake loss and frequency support capability," Renewable Energy, Elsevier, vol. 237(PB).
  13. Zheng, Yidan & Liu, Huiwen & Chamorro, Leonardo P. & Zhao, Zhenzhou & Li, Ye & Zheng, Yuan & Tang, Kexin, 2023. "Impact of turbulence level on intermittent-like events in the wake of a model wind turbine," Renewable Energy, Elsevier, vol. 203(C), pages 45-55.
  14. Zhang, Yujun & Zhang, Zihang & Zhong, Rui & Yu, Jun & Houssein, Essam H. & Zhao, Juan & Gao, Zhengming, 2025. "Under complex wind scenarios: Considering large-scale wind turbines in wind farm layout optimization via self-adaptive optimal fractional-order guided differential evolution," Energy, Elsevier, vol. 323(C).
  15. Franke, Katja & Garcia, Joshua Fragoso & Kleinschmitt, Christoph & Sensfuß, Frank, 2024. "Assessing worldwide future potentials of renewable electricity generation: Installable capacity, full load hours and costs," Renewable Energy, Elsevier, vol. 226(C).
  16. 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).
  17. Li, Jiayi & Zhang, Zihang & Zheng, Tao & Tang, Jun & Lei, Zhenyu & Gao, Shangce, 2025. "Discrete bi-population differential evolution for optimizing complex wind farm layouts in diverse terrains," Energy, Elsevier, vol. 335(C).
  18. Xu, Zongyuan & Gao, Xiaoxia & Zhang, Huanqiang & Lu, Hongkun & Han, Zhonghe & Zhu, Xiaoxun & Wang, Yu & Zhao, Wensheng, 2025. "Coupled effects of 3D wake expansion and terrain anisotropy on downstream wind turbine power performance and fatigue load," Energy, Elsevier, vol. 334(C).
  19. Wang, Qiulei & Ti, Zilong & Yang, Shanghui & Yang, Kun & Wang, Jiaji & Deng, Xiaowei, 2025. "Hierarchical dynamic wake modeling of wind turbine based on physics-informed generative deep learning," Applied Energy, Elsevier, vol. 378(PA).
  20. Yuan, Quanmu & Wang, Shu & Wang, Bo & Jing, Rui & Chen, Bicheng, 2026. "The influence of wave steepness and age on wake dynamics and power performance of offshore wind farms," Applied Energy, Elsevier, vol. 404(C).
  21. Dinçer, A.E. & Demir, A. & Yılmaz, K., 2024. "Multi-objective turbine allocation on a wind farm site," Applied Energy, Elsevier, vol. 355(C).
  22. 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).
  23. Yu, Xiaobing & Wu, Zhuolin & Zhang, Hongqian & Li, Yifei, 2025. "Wind farm layout optimization through multi-strategy differential evolution-based reinforcement learning algorithm," Energy, Elsevier, vol. 335(C).
  24. Xiaomei Ma & Mengxue Li & Wenquan Li & Yongqian Liu, 2025. "Overview of Offshore Wind Power Technologies," Sustainability, MDPI, vol. 17(2), pages 1-16, January.
  25. Meng, Hang & Chen, Tao & Chen, Xiaodong & Ge, Mingwei & Han, Yunzhou & Liu, Yongqian, 2024. "Simplified Polynomial-asymptotic-distribution Actuator Disc (SPAD) method for wind turbine wake simulation based on k-ϵ-fP turbulence model," Renewable Energy, Elsevier, vol. 236(C).
  26. Rahmatian, Mohammad Ali & Nazarian Shahrbabaki, Amin & Moeini, Seyed Peyman, 2023. "Single-objective optimization design of convergent-divergent ducts of ducted wind turbine using RSM and GA, to increase power coefficient of a small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 269(C).
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