Development of a comprehensive database of scattering environment conditions and simulation constraints for offshore wind turbines

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Huebler, C.; Gebhardt, C. G.; Rolfes, R.: Development of a comprehensive database of scattering environment conditions and simulation constraints for offshore wind turbines. In: Wind Energy Science 2 (2017), Nr. 2, S. 491-505. DOI: https://doi.org/10.5194/wes-2-491-2017

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4806

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Sum total of downloads: 175




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Abstract: 
For the design and optimisation of offshore wind turbines, the knowledge of realistic environmental conditions and utilisation of well-founded simulation constraints is very important, as both influence the structural behaviour and power output in numerical simulations. However, real high-quality data, especially for research purposes, are scarcely available. This is why, in this work, a comprehensive database of 13 environmental conditions at wind turbine locations in the North and Baltic Sea is derived using data of the FINO research platforms. For simulation constraints, like the simulation length and the time of initial simulation transients, well-founded recommendations in the literature are also rare. Nevertheless, it is known that the choice of simulation lengths and times of initial transients fundamentally affects the quality and computing time of simulations. For this reason, studies of convergence for both parameters are conducted to determine adequate values depending on the type of substructure, the wind speed, and the considered loading (fatigue or ultimate). As the main purpose of both the database and the simulation constraints is to compromise realistic data for probabilistic design approaches and to serve as a guidance for further studies in order to enable more realistic and accurate simulations, all results are freely available and easy to apply.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 109 62.29%
2 image of flag of United States United States 20 11.43%
3 image of flag of China China 14 8.00%
4 image of flag of United Kingdom United Kingdom 4 2.29%
5 image of flag of Sweden Sweden 3 1.71%
6 image of flag of France France 3 1.71%
7 image of flag of Peru Peru 2 1.14%
8 image of flag of Japan Japan 2 1.14%
9 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 1.14%
10 image of flag of Chile Chile 2 1.14%
    other countries 14 8.00%

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