A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models

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Häfele, J. et al.: A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models. In: Wind Energy Science 3 (2018), S. 553-572. DOI: https://doi.org/10.5194/wes-3-553-2018

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Sum total of downloads: 240




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Abstract: 
The main obstacles in preliminary design studies or optimization of jacket substructures for offshore wind turbines are high numerical expenses for structural code checks and simplistic cost assumptions. In order to create a basis for fast design evaluations, this work provides the following: first, a jacket model is proposed that covers topology and tube sizing with a limited set of design variables. Second, a cost model is proposed that goes beyond the simple and common mass-dependent approach. And third, the issue of numerical efficiency is addressed by surrogate models for both fatigue and ultimate limit state code checks. In addition, this work shows an example utilizing all models. The outcome can be utilized for preliminary design studies and jacket optimization schemes. It is suitable for scientific and industrial applications.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 113 47.08%
2 image of flag of United States United States 38 15.83%
3 image of flag of China China 21 8.75%
4 image of flag of Vietnam Vietnam 6 2.50%
5 image of flag of Norway Norway 6 2.50%
6 image of flag of Turkey Turkey 5 2.08%
7 image of flag of Tanzania, United Republic of Tanzania, United Republic of 4 1.67%
8 image of flag of Taiwan Taiwan 4 1.67%
9 image of flag of Korea, Republic of Korea, Republic of 4 1.67%
10 image of flag of France France 4 1.67%
    other countries 35 14.58%

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