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A study on the inclusion of forest canopy morphology data in numerical simulations for the purpose of wind resource assessment
journal contribution
posted on 2015-06-08, 08:24 authored by Cian Desmond, Simon Watson, Sandrine Aubrun, Sergio Avila, Philip Hancock, Adam SayerA series of numerical simulations of the flow over a forest stand have been conducted using two different turbulence closure models along with various levels of canopy morphology data. Simulations have been validated against Stereoscopic Particle Image Velocimetry measurements from a wind tunnel study using one hundred architectural model trees, the porosities of which have been assessed using a photographic technique.
It has been found that an accurate assessment of the porosity of the canopy, and specifically the variability with height, improves simulation quality regardless of the turbulence closure model used or the level of canopy geometry included. The observed flow field and recovery of the wake is in line with characteristic canopy flows published in the literature and it was found that the Shear Stress Transport turbulence model was best able to capture this detail numerically.
Funding
This work was supported by the EU FP7-PEOPLE program.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Journal of Wind Engineering and Industrial AerodynamicsVolume
126Pages
24 - 37Citation
DESMOND, C. ... et al., 2014. A study on the inclusion of forest canopy morphology data in numerical simulations for the purpose of wind resource assessment. Journal of Wind Engineering and Industrial Aerodynamics, 126, pp.24-37.Publisher
© Elsevier Ltd (Crown copyright)Version
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2013-12-26Publication date
2014-02-01ISSN
0167-6105Publisher version
Language
- en