elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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

Verdonck, Hendrik and Hach, Oliver and Polman, Jelmer and Braun, Otto and Balzani, Claudio and Müller, Sarah and Rieke, Johannes (2022) An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. In: Journal of Physics: Conference Series, 2265 (042039). IOP Publishing. TORQUE 2022, 01.-03. Jun. 2022, Delft, Niederlande. doi: 10.1088/1742-6596/2265/4/042039. ISSN 1742-6588.

[img] PDF
1MB

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.

Item URL in elib:https://elib.dlr.de/187142/
Document Type:Conference or Workshop Item (Speech)
Title:An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Verdonck, HendrikUNSPECIFIEDhttps://orcid.org/0009-0007-8271-8292UNSPECIFIED
Hach, OliverUNSPECIFIEDhttps://orcid.org/0000-0001-5317-4176UNSPECIFIED
Polman, JelmerLeibniz Universität HannoverUNSPECIFIEDUNSPECIFIED
Braun, OttoLeibniz Universität HannoverUNSPECIFIEDUNSPECIFIED
Balzani, ClaudioLeibniz Universität HannoverUNSPECIFIEDUNSPECIFIED
Müller, SarahNordex Energy GmbHUNSPECIFIEDUNSPECIFIED
Rieke, JohannesNordex Energy GmbHUNSPECIFIEDUNSPECIFIED
Date:2022
Journal or Publication Title:Journal of Physics: Conference Series
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:2265
DOI:10.1088/1742-6596/2265/4/042039
Publisher:IOP Publishing
ISSN:1742-6588
Status:Published
Keywords:wind energy, uncertainty quantification, UQ, surrogate modeling, PCE, stability
Event Title:TORQUE 2022
Event Location:Delft, Niederlande
Event Type:international Conference
Event Dates:01.-03. Jun. 2022
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Photovoltaics and Wind Energy
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Wind Energy
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Aeroelastic Simulation
Deposited By: Verdonck, Hendrik
Deposited On:22 Aug 2022 14:09
Last Modified:29 Mar 2023 00:51

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.