Abstract Machine learning is rapidly becoming a core technology for scientific computing,
with numerous opportunities to advance the field of computational fluid dynamics. Here we …

Surface roughness can significantly influence the fluid dynamics and heat transfer in
convective flows by inducing perturbations in the velocity profile which affect surface drag …

Wake effects within a wind farm are identified as one of the main factors impacting wind farm
power production and fatigue loading on wind turbines' structural elements. An efficient …

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 …

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 …

Reducing wake losses in wind farms by deflecting the wakes through turbine yawing has
been shown to be a feasible wind farm controls approach. Nonetheless, the effectiveness of …

We review wall-bounded turbulent flows, particularly high–Reynolds number, zero–pressure
gradient boundary layers, and fully developed pipe and channel flows. It is apparent that the …

Over the last 50 years the large-eddy simulation (LES) technique has developed into one of
the most prominent numerical tools used to study transport processes in the atmospheric …

It is well known that when wind turbines are deployed in large arrays, their efficiency
decreases due to complex interactions among themselves and with the atmospheric …

Abstract Large-eddy simulation (LES), coupled with a wind-turbine model, is used to
investigate the characteristics of a wind-turbine wake in a neutral turbulent boundary-layer …