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 …

While data-based approaches were found to be useful for subgrid scale (SGS) modeling in
Reynolds-averaged Navier-Stokes (RANS) simulations, there have not been many attempts …

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 …

This newest edition adds new material to all chapters, especially in mathematical
propagation models and special applications and inverse techniques. It has updated …

With the ongoing expansion of wind energy onshore and offshore, large-scale wind-farm-
flow effects in a temporally-and spatially-heterogeneous atmosphere become increasingly …

As wind farms grow in number and size worldwide, it is important that their potential impacts
on the environment are studied and understood. The Fitch parameterization implemented in …

With the growing number of wind farms over the last few decades and the availability of
large datasets, research in wind-farm flow modeling—one of the key components in …

Large eddy simulations (LES) of wind farms have the capability to provide valuable and
detailed information about the dynamics of wind turbine wakes. For this reason, their use …

In this study, a new analytical approach is presented and validated to predict wind farm
power production. The new model is an extension of the recently proposed by Bastankhah …