Global sensitivity analysis of model uncertainty in aeroelastic wind turbine models
conference paper
A framework is presented for performing global sensitivity analysis of model parameters associated with the Blade Element Momentum (BEM) models. Sobol indices based on adaptive sparse polynomial expansions are used as a measure of global sensitivities. The sensitivity analysis workflow is developed using the uncertainty quantification toolbox UQLab that is integrated with TNO’s Aero-Module aeroelastic code. Uncertainties in chord, twist, and lift- and drag-coefficients have been parametrized through the use of NURBS curves. Sensitivity studies are performed on the NM80 wind turbine model from the DanAero project, for a case with 19 uncertainties in both model and geometry. The combination of parametrization and sparse adaptive polynomial chaos yields a new efficient framework for global sensitivity analysis of aeroelastic wind turbine models, paving the way to effective model calibration.
Topics
TNO Identifier
882216
ISSN
17426588
Publisher
IOP Publishing
Article nr.
42034
Source title
Journal of Physics: Conference Series, Science of Making Torque from Wind 2020, TORQUE 2020, 28 September - 2 October 2020 (Online conference)
Editor(s)
Watson, S.J.
Collation
11 p.
Place of publication
Bristol, UK