EconPapers    
Economics at your fingertips  
 

Role of subgrid-scale modeling in large eddy simulation of wind turbine wake interactions

H. Sarlak, C. Meneveau and J.N. Sørensen

Renewable Energy, 2015, vol. 77, issue C, 386-399

Abstract: A series of simulations are carried out to evaluate specific features of the Large Eddy Simulation (LES) technique in wind turbine wake interactions. We aim to model wake interactions of two aligned model rotors. The effects of the rotor resolution, actuator line force filter size, and Reynolds number are investigated at certain tip speed ratios. The numerical results are validated against wind tunnel measurements in terms of the mean velocity, turbulence intensity and the power and thrust coefficients. Special emphasis is placed on the role played by subgrid scale (SGS) models in affecting the flow structures and turbine loading, as this has been studied less in prior investigations. It is found that, compared with the effects of rotor resolution and force kernel size, the SGS models have only a minor impact on the wake and predicted power performance. These observations confirm the usual expectations in the field of LES about insensitivity of wake-dominated flows to SGS modeling. However, the observed insensitivity of the near-rotor tip vortices, the thin shear layer structures, and their respective instability phenomena to SGS models are surprising and encouraging as far as accuracy levels to be expected from LES results for wind energy applications, are concerned.

Keywords: Large eddy simulation; Subgrid scale modeling; Wind turbine wake; Actuator line technique (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148114008635
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:77:y:2015:i:c:p:386-399

DOI: 10.1016/j.renene.2014.12.036

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:77:y:2015:i:c:p:386-399