Boundary-layer transition model for icing simulations of rotating wind turbine blades
Chankyu Son,
Mark Kelly and
Taeseong Kim
Renewable Energy, 2021, vol. 167, issue C, 172-183
Abstract:
Icing simulations for wind turbine blades should consider the roughness-induced flow transition. Adding a transport equation for ‘roughness amplification’ to the Langtry-Menter model, the roughness-induced transition can be predicted for rough flat plates. However, this approach exhibits a limitation that it cannot predict the skin friction in the shadow zone of blunt bodies. Such an approach depends on the boundary condition(s) of specific dissipation rate (ω). Typically boundary conditions for turbulent kinetic energy (k) and ω have been investigated for various roughness heights, but have been applied only for fully turbulent conditions. This study introduces an approach to predict the flow transition and the skin friction for a roughened surface, whereby the Langtry-Menter model including roughness amplification is coupled with the k and ω boundary conditions. The proposed method shows good agreement with the experiments for turbulent onset and the distributions of skin friction and heat convection for a roughened flat plate and a circular cylinder. Using the turbulent models under fully turbulent and transitional assumptions, the effects of the flow transition on the ice accretion shape on a rotating wind turbine are compared. The modified turbulent model showed better performance for the icing simulations without any tuning.
Keywords: Flow transition; γ-Reθ model; Surface roughness; Roughened cylinder; Reynolds-averaged Navier-Stokes equations; Wind turbine icing (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096014812031819X
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:167:y:2021:i:c:p:172-183
DOI: 10.1016/j.renene.2020.11.070
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 ().