scholarly journals Large-eddy simulation of thermally stratified forest canopy flow for wind energy studies purposes

2017 ◽  
Vol 136 ◽  
pp. 501-506 ◽  
Author(s):  
José C. Lopes da Costa ◽  
Fernando A. Castro ◽  
C. Silva Santos
2014 ◽  
Vol 44 (12) ◽  
pp. 1534-1544 ◽  
Author(s):  
Eric Mueller ◽  
William Mell ◽  
Albert Simeoni

Large eddy simulation (LES) based computational fluid dynamics (CFD) simulators have obtained increasing attention in the wildland fire research community, as these tools allow the inclusion of important driving physics. However, due to the complexity of the models, individual aspects must be isolated and tested rigorously to ensure meaningful results. As wind is a driving force that can significantly dictate the behavior of a wildfire, the simulation of wind is studied in the context of a particular LES CFD model, the Wildland–urban interface Fire Dynamics Simulator (WFDS). As WFDS has yet to be tested extensively with regard to wind flow within and above forest canopies, a study of its ability to do so is carried out. First, three simulations are conducted using periodic boundary conditions. Two of these assume a spatially heterogeneous forest and one models wind downstream of a canopy edge. Second, two simulations are conducted with specified “inflow” conditions using two inflow profiles: one static and one dynamic (driven by a precursor simulation). Using periodic boundary conditions, the model is found to generate profiles of mean velocity and turbulent statistics that are representative of experimental measurements. The dynamic inflow scenario is found to perform better than the static case.


2015 ◽  
Vol 156 (2) ◽  
pp. 253-276 ◽  
Author(s):  
Bastian Nebenführ ◽  
Lars Davidson

2004 ◽  
Vol 112 (1) ◽  
pp. 107-127 ◽  
Author(s):  
Li Fitzmaurice ◽  
Roger H. Shaw ◽  
Kyaw Tha Paw U ◽  
Edward G. Patton

Author(s):  
Georgios Deskos ◽  
Joseph C. Y. Lee ◽  
Caroline Draxl ◽  
Michael A. Sprague

AbstractWe present a review of existing wind-wave coupling models and parameterizations used for large-eddy simulation of the marine atmospheric boundary layer. The models are classified into two main categories: (i) the wave phaseaveraged, sea-surface-roughness models and (ii) the wave phase-resolved models. Both categories are discussed from their implementation, validity, and computational efficiency viewpoints with emphasis given on their applicability in offshore wind energy problems. In addition to the various models discussed, a review of laboratory-scale and field-measurement databases are presented thereafter. The majority of the presented data have been gathered over many decades of studying air-sea interaction phenomena, with the most recent ones compiled to reflect an offshore wind energy perspective. Both provide valuable data for model validation. Finally, we also discuss the modeling knowledge gaps and computational challenges ahead.


2020 ◽  
Vol 207 ◽  
pp. 02010
Author(s):  
George Pitchurov ◽  
Christof Gromke ◽  
Jordan A. Denev ◽  
Flavio Cesar Cunha Galeazzo

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.


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