Wind energy, together with other renewable energy sources, are expected to grow
substantially in the coming decades and play a key role in mitigating climate change and …

Similar to other renewable energy sources, wind energy is characterized by a low power
density. Hence, for wind energy to make considerable contributions to the world's overall …

In the paper, a novel framework that employs the machine learning and CFD (computational
fluid dynamics) simulation to develop new wake velocity and turbulence models with high …

Wind farm power production is known to be strongly affected by turbine wake effects. The
purpose of this study is to develop and test a new analytical model for the prediction of wind …

We compare wind farm large eddy simulations with the EPFL wind tunnel measurement by
Chamorro and Porté-Agel (Bound-Lay. Meteorol. 136, 515 (2010) and Energies 4, 1916 …

The spatiotemporal flow field in a wind farm determines the wind turbines' energy production
and structural fatigue. However, it is not obtainable by the current measurement, modeling …

Wind turbine (WT) experiments in wind tunnels can benefit the efficient utilization of wind
energy in many aspects, such as the testing of new products, the validation of numerical …

In the wind industry, power prediction of wind farm is commonly implemented by analytical
wake models, which is low-cost but insufficient in accuracy for high-turbulent wake …

In this study, large-eddy simulation is combined with a turbine model to investigate the
influence of atmospheric thermal stability on wind-turbine wakes. The simulation results …

High turbulence intensity induced by the wake effect in wind farms is of great significance to
the fatigue life of wind turbines. However, previous wind farm layout optimization (WFLO) …