An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools

authored by

Hendrik Verdonck, Oliver Hach, Jelmer Derk Polman, Otto Braun, Claudio Balzani, Sarah Müller, Johannes Rieke

Abstract

The uncertainty quantification of aeroelastic wind turbine simulations is an active research topic. This paper presents a dedicated, open-source framework for this purpose. The framework is built around the uncertainpy package, likewise available as open source. Uncertainty quantification is done with a non-intrusive, global and variance-based surrogate model, using PCE (i.e., polynomial chaos expansion). Two methods to handle the uncertain parameter distribution along the blades are presented. The framework is demonstrated on the basis of an aeroelastic stability analysis. A sensitivity analysis is performed on the influence of the flapwise, edgewise and torsional stiffness of the blades on the damping of the most critical mode for both a Bladed linearization and a Bladed time domain simulation. The sensitivities of both models are in excellent agreement and the PCE surrogate models are shown to be accurate approximations of the true models.

Organisation(s)

Institute of Wind Energy Systems

External Organisation(s)

Nordex Energy GmbH
DLR-Institute of Aeroelastics

Type

Conference contribution

Volume

2265

No. of pages

11

Publication date

02.06.2022

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Engineering (miscellaneous)

Research Area (based on ÖFOS 2012)

Renewable energy, Computational engineering

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://doi.org/10.1088/1742-6596/2265/4/042039 (Access: Open)