Articles | Volume 11, issue 9
https://doi.org/10.5194/wes-11-3213-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-3213-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Sep 2026
Research article |
| 04 Sep 2026
| 04 Sep 2026
Modelling of wind flows over realistic forests with LES
Hugo Olivares-Espinosa
CORRESPONDING AUTHOR
Department of Earth Sciences, Uppsala University, Visby, Sweden
Johan Arnqvist
Department of Earth Sciences, Uppsala University, Visby, Sweden
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This study explores how the height of the atmosphere's boundary layer impacts wind farm performance, focusing on how this factor influences energy output. By simulating different boundary layer heights and conditions, this research reveals that deeper layers promote better energy recovery. The findings highlight the importance of considering atmospheric conditions when simulating wind farms to maximize energy efficiency, offering valuable insights for the wind energy industry.
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Non-idealized wind profiles with negative shear in part of the profile (e.g., low-level jets) frequently occur in coastal environments and are important to take into consideration for offshore wind power. Using observations from a coastal site in the Baltic Sea, we analyze in which meteorological and sea state conditions these profiles occur and study how they alter the turbulence structure of the boundary layer compared to idealized profiles.
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Short summary
This work presents an investigation into varying modelling choices for large-eddy simulation over realistic forests. The focus is on how to represent the impact of upstream forest cover on wind statistics. The work clearly demonstrates the advantage of using an explicit drag formulation together with forest density maps from airborne laser scans over using roughness length and displacement height, mainly because it leverages observable quantities and minimizes the impact uncertain choices.
This work presents an investigation into varying modelling choices for large-eddy simulation...
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