Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison

verfasst von

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

Abstract

Uncertainty quantification (UQ) is a well-established category of methods to estimate the effect of parameter variations on a quantity of interest, based on a solid mathematical fundament. In the wind energy field most UQ studies were focused on the sensitivity of turbine loads. This article presents a framework, wrapped around a modern Python UQ library, to analyze the impact of uncertain turbine properties on aeroelastic stability. The UQ methodology applies a polynomial chaos expansion surrogate model to increase the numerical efficiency. A comparison is made between different wind turbine simulation tools on the engineering model level (alaska/Wind, Bladed, HAWC2/HAWCStab2 and Simpack). Two case studies are used to demonstrate the effectiveness of the method to analyze the sensitivity of the aeroelastic damping of an unstable turbine mode to variations of structural blade cross section parameters. The code-to-code comparison shows a good agreement between the simulation tools for the reference model, but also significant differences in the sensitivities.

Organisationseinheit(en)

Institut für Windenergiesysteme

Externe Organisation(en)

DLR-Institut für Aeroelastik
Nordex SE & Co. KG

Typ

Preprint

Anzahl der Seiten

22

Publikationsdatum

08.08.2023

Publikationsstatus

Elektronisch veröffentlicht (E-Pub)

ASJC Scopus Sachgebiete

Erneuerbare Energien, Nachhaltigkeit und Umwelt, Ingenieurwesen (sonstige)

Fachgebiet (basierend auf ÖFOS 2012)

Leichtbau

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.5194/wes-2023-80 (Zugang: Offen)