3 papers
physics.flu-dyn2026
A machine-learned probability distribution in the phase space of turbulent channel flow for synthetic turbulence and flow reconstruction
Frederik Aerts, Dirk Nuyens, Johan Meyers
Although a complete characterisation of the probability distribution in the phase space of turbulent flows remains elusive, accurately sampling this distribution is essential for b…
physics.flu-dyn2024
Wind-farm wake recovery mechanisms in conventionally neutral boundary layers
Luca Lanzilao, Johan Meyers
Synthetic-aperture radar images and mesoscale model results show that wind-farm wakes behave very differently than single-turbine wakes, e.g. with wakes that seemingly narrow and d…
physics.flu-dyn2023
A meso-micro atmospheric perturbation model for wind farm blockage
Koen Devesse, Luca Lanzilao, Johan Meyers
As wind farms continue to grow in size, mesoscale effects such as blockage and gravity waves become increasingly important. Allaerts & Meyers (J. Fluid Mech., 2019) proposed an atm…