58 citations · 80 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Time integration schemes based on neural networks for solving partial differential equations on coarse grids
Xinxin Yan, Zhideng Zhou, Xiaohan Cheng +1
The accuracy of solving partial differential equations (PDEs) on coarse grids is greatly affected by the choice of discretization schemes. In this work, we propose to learn time in…
Validation of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes
Irene Rivera-Arreba, Zhaobin Li, Xiaolei Yang +1
This work focuses on the validation of the dynamic wake meandering (DWM) model against large eddy simulation (LES). The wake deficit, mean deflection, and meandering under differen…
Effects of space sizes on the dispersion of cough-generated droplets from a walking person
Zhaobin Li, Hongping Wang, Xinlei Zhang +2
The dispersion of viral droplets plays a key role in the transmission of COVID-19. In this work, we analyze the dispersion of cough-generated droplets in the wake of a walking pers…