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 Schramm, 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 foundation. In the wind energy field most UQ studies focus 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. 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 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)

Nordex Energy SE & Co. KG
DLR-Institut für Aeroelastik

Typ

Artikel

Journal

Wind Energy Science

Band

9

Seiten

1747-1763

Anzahl der Seiten

17

ISSN

2366-7443

Publikationsdatum

20.08.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Erneuerbare Energien, Nachhaltigkeit und Umwelt, Energieanlagenbau und Kraftwerkstechnik

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.5194/wes-9-1747-2024 (Zugang: Offen)