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Wind Energy Modeling and Optimization

Wind-turbine wake modeling, wind-farm micro-siting, and data-driven optimization for renewable energy applications.

This page collects earlier research on wind-turbine wakes, wind-tunnel experiments, icing prediction, and wind-farm layout optimization.

Status: project summaries and visual material will be added in a later revision.

References

  1. Lidong Zhang, Shilin Tian, Tianyu Hu, Yuanjun Guo, Jiangzhe Feng, Huaihui Ren, Haochen Zhang, Zhile Yang, Lei Zhang Investigation of the wake blending of wind turbines with different capacities in a tandem configuration using LES . Journal of Renewable and Sustainable Energy , 2025 .
  2. Lidong Zhang, Zhengcong Feng, Changpeng Song, Wenxin Tian, Tianyu Hu, Yuanjun Guo, Zhile Yang, Xiuyong Zhao, Jiangzhe Feng, Huaihui Ren, Qiaozi Wang, Duanmei Zhang Wind tunnel experimental investigation of wake characteristics and turbulent mixing in tandem-arranged wind turbines . Ocean Engineering , 2025 .
  3. Lidong Zhang, Yuze Zhao, Yunfeng Guo, Tianyu Hu, Xiandong Xu, Duanmei Zhang, Changpeng Song, Yuanjun Guo, Yuanchi Ma Research on wind turbine icing prediction data processing and accuracy of machine learning algorithm . Renewable Energy , 2024 .
  4. Y. Zhu, Y. Guo, T. Hu, C. Wu, L. Zhang Wind farm layout optimization based on dynamic opposite learning-enhanced sparrow search algorithm . International Journal of Energy Research , 2024 .
  5. X. Zhao, T. Hu, L. Zhang, Z. Liu, S. Wang, W. Tian, Z. Yang, Y. Guo Experimental study on the characteristics of wind turbine wake field considering yaw conditions . Energy Science and Engineering , 2021 .