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physics.flu-dyn2025
Data-driven modeling of wind farm wake flow based on multi-scale feature recognition
Dong Xu, Zhaobin Li, Xiaolei Yang +3
Accurate, efficient prediction of wind flow with wake effects is crucial for wind-farm layout and power forecasting. Existing approaches-physical measurements, numerical simulation…
physics.flu-dyn2025
Self-consistent model for active control of wind turbine wakes
Zhaobin Li, Xiaolei Yang
Active wake control (AWC) has emerged as a promising strategy for enhancing wind turbine wake recovery, but accurately modelling its underlying fluid mechanisms remains challenging…
physics.flu-dyn2024
A wall model for separated flows: embedded learning to improve a posteriori performance
Zhideng Zhou, Xin-lei Zhang, Guo-wei He +1
The development of a wall model using machine learning methods for the large-eddy simulation (LES) of separated flows is still an unsolved problem. Our approach is to leverage the…