Modelling uncertainty in t-RANS simulations of thermally stratified forest canopy flows for wind energy studies

Files in this item

Icon
Name: energies-11-01703.pdf
Size: 7.004Mb
Format: PDF
Description: Published Version
View/Open

Modelling uncertainty in t-RANS simulations of thermally stratified forest canopy flows for wind energy studies

Desmond, Cian J.; Watson, Simon; Montavon, Christiane; Murphy, Jimmy
Date: 2018
Copyright: © 2018, by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Copyright information: http://creativecommons.org/licenses/by/4.0/
Related: http://www.mdpi.com/1996-1073/11/7/1703
Citation: Desmond, C., Watson, S., Montavon, C. and Murphy, J. (2018) 'Modelling uncertainty in t-RANS simulations of thermally stratified forest canopy flows for wind energy studies', Energies, 11(7), 1703 (25pp). doi: 10.3390/en11071703
Published Version: 10.3390/en11071703

Abstract:

The flow over densely forested terrain under neutral and non-neutral conditions is considered using commercially available computational fluid dynamics (CFD) software. Results are validated against data from a site in Northeastern France. It is shown that the effects of both neutral and stable atmospheric stratifications can be modelled numerically using state of the art methodologies whilst unstable stratifications will require further consideration. The sensitivity of the numerical model to parameters such as canopy height and canopy density is assessed and it is shown that atmospheric stability is the prevailing source of modelling uncertainty for the study.

Show full item record

This item appears in the following Collection(s)

© 2018, by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2018, by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement