Tengyuan Wang

TL;DR: Wang et al. as mentioned in this paper proposed a three-dimensional Jensen-Gaussian (3DJG) wake model for horizontal-axis wind turbines, which does not need multiple trial calculations to determine some empirical parameters, such as the wake expansion rate.

TL;DR: In this article, the power generation of four wind turbines coupled with the wake and topography effects with field measurements and SCADA (Supervisory Control and Data Acquisition) data was investigated, and two LiDARs (Light Detection and Ranging) were adopted for the four turbines' wake detections which lasted for 6 months.

TL;DR: In this article, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China.

TL;DR: Wang et al. as discussed by the authors used the Actuator Line Method and theoretical analysis to investigate the wake characteristics of NREL 5 MW wind turbine in yaw and revealed the wake evolution mechanism of yawed wind turbine and established the corresponding theoretical model, which was conducive to the development of high-precision engineering wake model and the optimization of wind farm cooperative control.

TL;DR: In this article , a new wake model with new turbulence intensity model is proposed to evaluate the power loss caused by turbine wake for the optimization of wind farm layout, which has a more suitable wind speed distribution.