Abstract. Modern wind-turbine airfoil design requires robust performance predictions for
varying thicknesses, shapes, and appropriate Reynolds numbers. The airfoils of
current large offshore wind turbines operate with chord-based Reynolds numbers
in the range of 3–15 million. Turbulence transition in the airfoil boundary
layer is known to play an important role in the aerodynamics of these airfoils
near the design operating point. While the lack of prediction of lift stall
through Reynolds-averaged Navier–Stokes (RANS) computational fluid dynamics
(CFD) is well known, airfoil design using CFD requires the accurate prediction
of the glide ratio (L/D) in the linear portion of the lift polar. The
prediction of the drag bucket and the glide ratio is greatly affected by the
choice of the transition model in RANS CFD of airfoils. We present the
performance of two existing local correlation-based transition
models – one-equation model (γ− SA) and two-equation model
(γ-Reθt‾- SA) coupled with the Spalart–Allmaras (SA)
RANS turbulence model – for offshore wind-turbine airfoils operating
at a high Reynolds number. We compare the predictions of the two transition
models with available experimental and CFD data in the literature in the
Reynolds number range of 3–15 million including the AVATAR project
measurements of the DU00-W-212 airfoil. Both transition models predict a
larger L/D compared to fully turbulent results at all Reynolds numbers. The
two models exhibit similar behavior at Reynolds numbers around 3 million. However, at higher Reynolds numbers, the one-equation model fails to
predict the natural transition behavior due to early transition onset. The
two-equation transition model predicts the aerodynamic coefficients for
airfoils of various thickness at higher Reynolds numbers up to 15 million
more accurately compared to the one-equation model. As a result, the
two-equation model predictions are more comparable to the predictions from
eN transition model.
However, a limitation of this model is observed at very high Reynolds numbers
of around 12–15 million where the predictions are very sensitive to the
inflow turbulent intensity. The combination of the two-equation transition
model coupled with the Spalart–Allmaras (SA) RANS turbulence model is a
good method for performance prediction of modern wind-turbine airfoils
using CFD.