Dexing Liu

Mr. Dexing Liu's research focuses on applying techniques in dimensionality reduction, compressed sensing, and machine learning for wind farm flow control and other wind engineering problems. He is also interested in how wind LiDAR can be used for wind farm control to extend wind turbine lifetime and increase energy production and so forth.

He is developing a practical super-controller for wind farm flow control based on the accumulated knowledge and experience from research projects OWEA Loads and VAMOS. Since operation of wind turbines that are clustered together in a farm is coupled through the flow, research and development on control for wind energy applications has increasingly shifted to the farm level — where the overall performance, reliability and cost of the fleet of turbines is considered.