Wind farm control has been a topic of research for more than two decades. It has been
identified as a core component of grand challenges in wind energy science to support …

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 …

We propose a methodology for generating time-dependent turbulent inflow data with the aid
of machine learning (ML), which has the possibility to replace conventional driver …

The basic problems of transition in both incompressible and compressible boundary layers
are reviewed. Flow structures in low-speed transitional and developed turbulent boundary …

This study proposes a newly developed deep-learning-based method to generate turbulent
inflow conditions for spatially develo** turbulent boundary layer (TBL) simulations. A …

In this paper, we propose an efficient method for generating turbulent inflow conditions
based on deep neural networks. We utilise the combination of a multiscale convolutional …

A realistic inflow boundary condition is essential for successful simulation of the develo**
turbulent boundary layer or channel flows. In the present work, we applied generative …

Wind energy plays a vital role in the development sustainable energy due to its vast
availability, commercially ready technology, low cost, and great contribution to CO 2 …

Two observations drawn from a thoroughly validated direct numerical simulation of the
canonical spatially develo**, zero-pressure gradient, smooth, flat-plate boundary layer are …

In many engineering applications, aerofoils experience elevated free-stream turbulence
levels. The present work experimentally investigates the effect of free-stream turbulence on …