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

verfasst von

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.

Organisationseinheit(en)

Institut für Windenergiesysteme

Externe Organisation(en)

Nordex Energy GmbH
DLR-Institut für Aeroelastik

Typ

Aufsatz in Konferenzband

Band

2265

Anzahl der Seiten

11

Publikationsdatum

02.06.2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Ingenieurwesen (sonstige)

Fachgebiet (basierend auf ÖFOS 2012)

Erneuerbare Energie, Computational Engineering

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1088/1742-6596/2265/4/042039 (Zugang: Offen)