SOBOL SENSITIVITY ANALYSIS OF FLOATING OFFSHORE WIND TURBINE FOUNDATION

Ren Yajun, Li Sheng, Shi Wei, Li Shuai, Wang Fuqiang, Wang Jiazhi

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 421-428.

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (7) : 421-428. DOI: 10.19912/j.0254-0096.tynxb.2024-0477
Special Topics of Academic Papers at the 70th Annual Meeting of the China Association for Science and Technology

SOBOL SENSITIVITY ANALYSIS OF FLOATING OFFSHORE WIND TURBINE FOUNDATION

  • Ren Yajun1, Li Sheng1, Shi Wei2~4, Li Shuai1, Wang Fuqiang1, Wang Jiazhi2,3
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Abstract

The research focuses on the analysis of a semi-submersible floating offshore wind turbine based on the frequency-domain simulation tool. The approaches of support vector machine based surrogate model and the variance-based Sobol sensitivity analysis are utilised to investigate the quantitative correlation between the dimensions of the components and the performance of the floater. Meanwhile, to examine the effects of sampling range and interval on the accuracy of the surrogate model, two groups of samples obtained by the different sampling approach are used to train the models and the results are compared. It is found that the sampling approach has less effects on the accuracy of the model, as both the models show high accuracy in the prediction of the platform performance and yielding similar sensitivity analysis results. Sensitivity analysis results indicate that the steel weight of the floating platform is relatively sensitive to the column diameter, span and draft, with their total sensitivities being 0.56, 0.21 and 0.14 respectively. The platform pitch response shows higher sensitivity to column diameter and draft than other parameters, while the sensitivity index for platform surge response can be various for different environmental conditions. During the scaling design process of floating foundations, the optimization direction can be determined based on the sensitivity of different parameters, thereby achieving the design goals more efficiently.

Key words

offshore wind power / floating wind turbine / sensitivity analysis / surrogate model / optimization design

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Ren Yajun, Li Sheng, Shi Wei, Li Shuai, Wang Fuqiang, Wang Jiazhi. SOBOL SENSITIVITY ANALYSIS OF FLOATING OFFSHORE WIND TURBINE FOUNDATION[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 421-428 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0477

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