Next Article in Journal
Optimal Design of Power-Split HEVs Based on Total Cost of Ownership and CO2 Emission Minimization
Previous Article in Journal
Experimental Assessment of the Energy Performance of a Double-Skin Semi-Transparent PV Window in the Hot-Summer and Cold-Winter Zone of China
Open AccessArticle

Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies

1
MaREI, University College Cork, P43 C573 Cork, Ireland
2
DUWIND, Delft University of Technology, 2629 HS Delft, The Netherlands
3
Energy, DNV-GL, Bristol BS2 0PS, UK
*
Author to whom correspondence should be addressed.
Energies 2018, 11(7), 1703; https://doi.org/10.3390/en11071703
Received: 28 May 2018 / Revised: 20 June 2018 / Accepted: 22 June 2018 / Published: 1 July 2018
(This article belongs to the Section Sustainable Energy)
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. View Full-Text
Keywords: wind energy; computational fluid dynamics (CFD); non-neutral; forest; canopy; site assessment; Vaudeville-le-Haut wind energy; computational fluid dynamics (CFD); non-neutral; forest; canopy; site assessment; Vaudeville-le-Haut
Show Figures

Figure 1

MDPI and ACS Style

Desmond, C.J.; Watson, S.; Montavon, C.; Murphy, J. Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies. Energies 2018, 11, 1703.

AMA Style

Desmond CJ, Watson S, Montavon C, Murphy J. Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies. Energies. 2018; 11(7):1703.

Chicago/Turabian Style

Desmond, Cian J.; Watson, Simon; Montavon, Christiane; Murphy, Jimmy. 2018. "Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies" Energies 11, no. 7: 1703.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop