Validated extrapolation of measured damage within an offshore wind farm using instrumented fleet leaders

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Noppe, N.; Hübler, C.; Devriendt, C.; Weijtjens, W.: Validated extrapolation of measured damage within an offshore wind farm using instrumented fleet leaders. In: Journal of Physics: Conference Series 1618 (2020), Nr. 2, 22005. DOI: https://doi.org/10.1088/1742-6596/1618/2/022005

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10547

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Sum total of downloads: 138




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Abstract: 
As the older wind farms are slowly reaching their design lifetime, topics like fatigue and lifetime assessment gain importance. To decide on a possible lifetime extension of the turbine and its foundation, an accurate fatigue assessment for every wind turbine in the farm is needed. As the installation of specific sensors needed for a fatigue assessment is too time consuming and costly, the "Fleet Leader Concept" is applied and validated in this paper. Here, a few turbines are instrumented and a fatigue assessment based on rainflow counting and Miner's rule can be performed. For a farm-wide fatigue assessment, the obtained damage is extrapolated towards the other turbines. Sample based bootstrapping is performed to introduce an uncertainty on the results. A successful extrapolation was obtained for in-field measurements at an older offshore wind farm. In general, relative errors of less than 5% on damage were found. © 2020 Published under licence by IOP Publishing Ltd.
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 66 47.83%
2 image of flag of United States United States 22 15.94%
3 image of flag of China China 18 13.04%
4 image of flag of Tanzania, United Republic of Tanzania, United Republic of 6 4.35%
5 image of flag of Vietnam Vietnam 3 2.17%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 2.17%
7 image of flag of Japan Japan 2 1.45%
8 image of flag of India India 2 1.45%
9 image of flag of United Kingdom United Kingdom 2 1.45%
10 image of flag of France France 2 1.45%
    other countries 12 8.70%

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