Wind turbine stability: Comparison of state-of-the-art aeroelastic simulation tools

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Hach, O.; Verdonck, H.; Polman, J.D.; Balzani, C.; Müller, S. et al.: Wind turbine stability: Comparison of state-of-the-art aeroelastic simulation tools. In: Journal of Physics: Conference Series (JPCONF) 1618 (2020), Nr. 5, 052048. DOI: https://doi.org/10.1088/1742-6596/1618/5/052048

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/16325

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Sum total of downloads: 33




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Abstract: 
As rotor diameters and blade flexibility are increasing, current and future generation wind turbines are more susceptible to aeroelastic instabilities. It is thus important to know the prediction capabilities of state-of-the-art simulation tools in regards of the onset of aeroelastic instability. This article presents results of a code-to-code comparison of five different simulation codes using a representative wind turbine model. It is shown that the models are in good agreement in terms of isolated structural dynamics and steady state aeroelastics. The more complex the test cases become, the more significant are the differences in the results. In the final step of comparison, the aeroelastic stability limit is determined through a run-away analysis. The instability onset is predicted at different wind speeds and the underlying mechanisms differ between the tools. A Campbell diagram is used to correlate the findings of time domain simulation tools with those of a linear analysis in the frequency domain.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 14 42.42%
2 image of flag of United States United States 5 15.15%
3 image of flag of Tanzania, United Republic of Tanzania, United Republic of 2 6.06%
4 image of flag of Malaysia Malaysia 2 6.06%
5 image of flag of Indonesia Indonesia 2 6.06%
6 image of flag of Russian Federation Russian Federation 1 3.03%
7 image of flag of Romania Romania 1 3.03%
8 image of flag of Philippines Philippines 1 3.03%
9 image of flag of Italy Italy 1 3.03%
10 image of flag of Spain Spain 1 3.03%
    other countries 3 9.09%

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