Benchmarking different fidelities in wind turbine aerodynamics under yaw
File(s)Muñoz-Simón_2020_J._Phys.__Conf._Ser._1618_042017.pdf (967.45 KB)
Published version
Author(s)
Muñoz-Simón, A
Palacios, R
Wynn, A
Type
Conference Paper
Abstract
This paper analyses the aerodynamics of wind turbines under yaw with different modelling fidelities (BEM, BEM with skewed wake model, UVLM and LES-AL). First of all, models are compared in a zero-yaw case to demonstrate their accuracy in prediction of out-of-plane loads and the discrepancy of UVLM in the in-plane loads due to the lack of viscous drag. Secondly, the yaw aerodynamics are described through the advancing/retreating and skewed wake effects, which are appropriately captured by UVLM and LES-AL and lead to an incorrect prediction of the location of maximum and minimum loading along a revolution by BEM. Further, when a skew-wake model is included in BEM, it predicts the correct locations but exhibits overly large loading variations. These predictions are consistent for all yaw angles studied (γ = 10° − 30°). All solvers predict similar decrease of root-bending moments, rotor power and thrust coefficients up to a yaw angle of 10°. However, at larger yaw angles, BEM overpredicts this decrease of coefficients with the yaw angle due to the unsuccessful performance of yaw corrections as opposed to UVLM that inherently accounts for three-dimensional effects. This study demonstrates the need to use computational models that can account for three-dimensional effects in the computation of aerodynamic loads for yaw angles above 10°.
Date Issued
2020-09
Date Acceptance
2020-03-02
Citation
Journal of Physics: Conference Series, 2020, 1618, pp.1-11
ISSN
1742-6588
Publisher
IOP Publishing
Start Page
1
End Page
11
Journal / Book Title
Journal of Physics: Conference Series
Volume
1618
Copyright Statement
© 2020 The Author(s). Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
License URL
Sponsor
Commission of the European Communities
Identifier
https://iopscience.iop.org/article/10.1088/1742-6596/1618/4/042017
Grant Number
765579
Source
The Science of Making Torque from Wind (TORQUE 2020)
Subjects
0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics
0204 Condensed Matter Physics
0299 Other Physical Sciences
Publication Status
Published
Date Publish Online
2020-09-22