The design and development of floating offshore wind turbines (FOWTs) is an attractive
issue in the wind energy harvesting field. In this study, the research related to the high …

Results obtained from CFD simulations are sensitive to many numerical settings, such as
grid spacing, time increment, turbulence models, etc. Therefore, rigorous quantification of …

The main objective of this study is to employ the Extreme Gradient Boosting (XGBoost)
machine learning algorithm to predict the power, wake, and turbulent characteristics of …

Super-large-scale particle image velocimetry using natural snowfall is used to investigate
the influence of nacelle and tower generated flow structures on the near-wake of an …

Downstream wind turbines in a wind farm are affected by the wake of the upstream turbine.
Therefore, wake steering has been introduced to alleviate the wake effect by yawing the …

The development of personal aerial vehicles (PAVs) using electric power distributed
propulsion methods is rapidly growing. As the aerodynamic performance and flight stability …

Wind energy has become one of the most commercially prospective renewable energies.
However, the wake effect of wind turbine can reduce the power generation efficiency and …

The wake characteristics of a utility-scale wind turbine under realistic atmospheric boundary
layer conditions are affected by the continuously changing wind direction arriving at the wind …

The complexity and associated uncertainties involved with atmospheric-turbine-wake
interactions produce challenges for accurate wind farm predictions of generator power and …

On a wind farm, the wake has an important impact on the performance of the wind turbines.
For example, the wake of an upstream wind turbine affects the blade load and output power …