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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

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

Organisationseinheiten

Externe Organisationen

  • Nordex Energy GmbH
  • DLR-Institut für Aeroelastik
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksFloating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines
Seitenumfang11
Band2265
Auflage4
PublikationsstatusVeröffentlicht - 2 Juni 2022
Veranstaltung2022 Science of Making Torque from Wind, TORQUE 2022 - Delft, Niederlande
Dauer: 1 Juni 20223 Juni 2022

Publikationsreihe

NameJournal of Physics: Conference Series
Herausgeber (Verlag)IOP Publishing Ltd.
Band2265
ISSN (Print)1742-6588

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.

ASJC Scopus Sachgebiete

Fachgebiet (basierend auf ÖFOS 2012)

Ziele für nachhaltige Entwicklung

Zitieren

An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. / Verdonck, Hendrik; Hach, Oliver; Polman, Jelmer Derk et al.
Floating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines. Band 2265 4. Aufl. 2022. (Journal of Physics: Conference Series; Band 2265).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Verdonck, H, Hach, O, Polman, JD, Braun, O, Balzani, C, Müller, S & Rieke, J 2022, An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. in Floating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines. 4 Aufl., Bd. 2265, Journal of Physics: Conference Series, Bd. 2265, 2022 Science of Making Torque from Wind, TORQUE 2022, Delft, Niederlande, 1 Juni 2022. https://doi.org/10.1088/1742-6596/2265/4/042039
Verdonck, H., Hach, O., Polman, J. D., Braun, O., Balzani, C., Müller, S., & Rieke, J. (2022). An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. In Floating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines (4 Aufl., Band 2265). (Journal of Physics: Conference Series; Band 2265). https://doi.org/10.1088/1742-6596/2265/4/042039
Verdonck H, Hach O, Polman JD, Braun O, Balzani C, Müller S et al. An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. in Floating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines. 4 Aufl. Band 2265. 2022. (Journal of Physics: Conference Series). doi: 10.1088/1742-6596/2265/4/042039
Verdonck, Hendrik ; Hach, Oliver ; Polman, Jelmer Derk et al. / An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools. Floating Wind; Systems Design and Multi-Fidelity/Multi-Disciplinary Modelling; Future Wind; Smaller Wind Turbines. Band 2265 4. Aufl. 2022. (Journal of Physics: Conference Series).
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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. ",
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AU - Verdonck, Hendrik

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AU - Polman, Jelmer Derk

AU - Braun, Otto

AU - Balzani, Claudio

AU - Müller, Sarah

AU - Rieke, Johannes

N1 - Funding Information: This work is a collaboration of three partners from research and industry in the frame of the German national research project QuexUS. This project is funded by the German Federal Ministry for Economic Affairs and Climate Action, grant no. 03EE3011A/B.

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