Preprints
https://doi.org/10.5194/wes-2025-181
https://doi.org/10.5194/wes-2025-181
20 Oct 2025
 | 20 Oct 2025
Status: this preprint is currently under review for the journal WES.

Large Eddy Simulation of Thermally Stratified Atmospheric Boundary Layers with a Lattice Boltzmann Method

Henry Korb, Henrik Asmuth, Martin Schönherr, Martin Geier, and Stefan Ivanell

Abstract. Thermal stratification plays an important role in wind farm flows and must therefore be included in simulations of such flows. Meanwhile, wind farms are covering larger areas, requiring very large domains and leading to exceptional computational costs for Large Eddy Simulation (LES). The lattice Boltzmann method (LBM) is a novel approach to LES of wind farm flows that is particularly efficient and suitable for massively parallel hardware, such as GPUs (graphics processing units). In this work we present a novel model for LES-LBM of stratified atmospheric boundary layers, using a so-called double distribution function approach. We develop a novel boundary condition to apply Monin-Obukhov similarity theory and implement a number of other components required for simulations of stratified boundary layers in the GPU-resident version of the open-source LBM solver VirtualFluids. The model is validated for conventionally neutral and stably stratified boundary layers. Results agree closely with numerical references and the model is able to simulate conventionally neutral boundary layers at around realtime on a single GPU. Future work will include development of a precursor-successor method for wind farm flow simulations and improvements to the collision operator of temperature model.

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Henry Korb, Henrik Asmuth, Martin Schönherr, Martin Geier, and Stefan Ivanell

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Henry Korb, Henrik Asmuth, Martin Schönherr, Martin Geier, and Stefan Ivanell

Model code and software

VirtualFluids Sören Peters et al. https://git.rz.tu-bs.de/irmb/VirtualFluids

Henry Korb, Henrik Asmuth, Martin Schönherr, Martin Geier, and Stefan Ivanell

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Short summary
This study presents a new way to simulate the wind in the lower atmosphere while taking into account the changes in temperature. The model is much faster than previous models while having the same level of accuracy. This study is a step in making highly accurate software to predict the output of wind farms fast enough for use in the wind industry, ultimately reducing making electricity from wind energy cheaper and more reliable.
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