Issue |
E3S Web Conf.
Volume 207, 2020
25th Scientific Conference on Power Engineering and Power Machines (PEPM’2020)
|
|
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Article Number | 02010 | |
Number of page(s) | 11 | |
Section | Renewable Energy and Environmental Protection | |
DOI | https://doi.org/10.1051/e3sconf/202020702010 | |
Published online | 18 November 2020 |
Validation study for Large-Eddy Simulation of Forest Flow
1 Technical University of Sofia, Bulgaria
2 Karlsruhe Institute of Technology, Germany
3 High Performance Computing Center Stuttgart (HLRS), Germany
* Corresponding author: george@tu-sofia.bg
The publication presents Large-Eddy Simulation (LES) of flow over a reduced-scale wind tunnel model of a forest canopy. The final aim of the study is to determine factors responsible for damage in forests by strong winds. The wind tunnel forest was represented by an open-porous foam material for the crown layer and wooden dowels for the trunk layer. The forest model was installed in the open test section of a Goettingen-type wind tunnel and Particle Image Velocimetry (PIV) measurements were made for the acquisition of the flow field data. The numerical simulations were performed with OpenFOAM®. The forest was modelled by an additional sink term in the momentum transport equations based on the leaf area density and a characteristic drag coefficient for the underlying tree specimen. Large-eddy simulations with different subgrid-scale (SGS) turbulence models were carried out and compared to wind tunnel data. The Smagorinsky SGS model outperformed the dynamic Lagrangian SGS model in the windward edge region (within a distance of approximately 2 tree heights from the leading edge) whereas the dynamic Lagrangian SGS model showed a better performance for regions farther downstream.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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