Improved dynamic stall prediction of wind turbine airfoils

Authors

Xiong Liu, University of Wollongong, Shantou UniversityFollow
Cheng Lu, University of WollongongFollow
Shi Liang, CRRC Zhuzhou Institute Co. Ltd
Ajit R. Godbole, University of WollongongFollow
Yan Chen, Shantou University

RIS ID

134999

Publication Details

Liu, X., Lu, C., Liang, S., Godbole, A. & Chen, Y. (2019). Improved dynamic stall prediction of wind turbine airfoils. Energy Procedia, 158 1021-1026.

Abstract

This paper presents a dynamic stall model to predict the unsteady airloads on wind turbine airfoils. The proposed model is based on the Beddoes-Leishman (B-L) model and modifications are carried out for wind turbine applications. The lift, drag, and pitch moment of the S809 airfoil oscillating in stall-development and deep-stall regimes are predicted. Validation against available experimental data shows overall good agreement.