Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 8
Articles | Volume 9, issue 8
https://doi.org/10.5194/wes-9-1747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1747-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 8
Research article
 | 
20 Aug 2024
Research article |  | 20 Aug 2024

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

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

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Abbiati, G., Marelli, S., Tsokanas, N., Sudret, B., and Stojadinović, B.: A global sensitivity analysis framework for hybrid simulation, Mech. Syst. Signal Pr., 146, 964–979, https://doi.org/10.1016/j.ymssp.2020.106997, 2021. a
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Blasques, J. P., Bitsche, R. D., Fedorov, V., and Lazarov, B. S.: Accuracy of an efficient framework for structural analysis of wind turbine blades, Wind Energy, 19, 1603–1621, https://doi.org/10.1002/we.1939, 2016. a
Bortolotti, P., Canet, H., Bottasso, C. L., and Loganathan, J.: Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines, Wind Energ. Sci., 4, 397–406, https://doi.org/10.5194/wes-4-397-2019, 2019. a
Caboni, M., Carrion, M., Rodriguez, C., Schepers, G., Boorsma, K., and Sanderse, B.: Assessment of sensitivity and accuracy of BEM-based aeroelastic models on wind turbine load predictions, J. Phys. Conf. Ser., 1618, 042015, https://doi.org/10.1088/1742-6596/1618/4/042015, 2020. a
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Aeroelastic stability simulations are needed to guarantee the safety and overall robust design of wind turbines. To increase our confidence in these simulations in the future, the sensitivity of the stability analysis with respect to variability in the structural properties of the wind turbine blades is investigated. Multiple state-of-the-art tools are compared and the study shows that even though the tools predict similar stability behavior, the sensitivity might be significantly different.
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