Corrigendum to “Numerical modeling of the flow over wind turbine airfoils by means of Spalart-Allmaras local correlation based transition model” [Energy 130 (2017) 402–419]

Energy ◽  
2018 ◽  
Vol 159 ◽  
pp. 1244
Author(s):  
Valerio D'Alessandro ◽  
Sergio Montelpare ◽  
Renato Ricci ◽  
Andrea Zoppi
Energy ◽  
2017 ◽  
Vol 130 ◽  
pp. 402-419 ◽  
Author(s):  
Valerio D'Alessandro ◽  
Sergio Montelpare ◽  
Renato Ricci ◽  
Andrea Zoppi

2021 ◽  
Author(s):  
Yong Su Jung ◽  
Ganesh Vijayakumar ◽  
Shreyas Ananthan ◽  
James Baeder

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 Reynold-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 (γ) and two-equation model 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. The two-equation model also predicts the correct trends with the variation of Reynolds number comparable to the 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 transition model coupled with the Spalart-Allmaras (SA) RANS turbulence model is a robust method for performance prediction of modern wind-turbine airfoils using CFD.


2018 ◽  
Vol 46 ◽  
pp. 00026
Author(s):  
Katarzyna Suder-Dębska ◽  
Dawid Romik ◽  
Ireneusz Czajka

In the paper the authors presented and compared two methods of the HAWT noise predicting. The priority, however, was to test the possibility of using Amiet's theory to determine the noise value in the far field. In this theory it is necessary to know the value of the turbulence intensity coefficient. The value of this coefficient was determined based on numerical modeling. The NACA 0012 profile was used for the airfoil shape. The ANSYS/Fluent program was used for numerical calculations, where the k-ω SST turbulence model was used to simulate the flow, and Ffocs- Williams and Hawkings model was used to determine the noise level. The turbulence intensity coefficient estimated in this way was then used to determine the noise value from the wind turbine airfoils using Amiet's theory.


Energy ◽  
2019 ◽  
Vol 185 ◽  
pp. 90-101 ◽  
Author(s):  
Li Guoqiang ◽  
Zhang Weiguo ◽  
Jiang Yubiao ◽  
Yang Pengyu

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