Improved tropical cyclone boundary layer model and its application in floating offshore wind turbine structural response analysis

The accurate simulation of tropical cyclone (TC) wind fields is essential for analyzing structural responses, given the potential severe damage to infrastructure caused by TCs. An improved TC boundary layer mean wind field model is proposed, building upon the Kepert model, by introducing a two-dimensional pressure field that varies with height and radius, a surface turbulent diffusivity influenced by wind speed at the lower boundary, and a surface roughness length affected by waves and spray. The accuracy of the improved model is validated through comparisons with TC observational data. Comparative analysis indicates that the Kepert model overestimates the tangential wind speed component. The two-dimensional pressure field employed in the improved model more accurately simulates the central pressure difference within the TC boundary layer. Furthermore, the incorporation of a surface turbulent diffusivity and sea surface roughness length that better reflects physical phenomena further enhances the accuracy of the improved wind field model. The structural responses of a floating offshore wind turbine (FOWT) situated in the TC eyewall region under emergency shutdown conditions are computed using both wind field models separately. The results indicate that blade tip displacement, tower top displacement, platform translation, and rotation responses (pitch and yaw) are overestimated by the Kepert model. In conclusion, the improved model accurately represents the TC structure, offering precise wind field data for assessing FOWT structural responses in TC conditions.

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Publication Details

Journal
Journal of Renewable and Sustainable Energy
Published
2024-11-01
DOI
https://doi.org/10.1063/5.0229795
Citations
2
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.75

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article

Improved tropical cyclone boundary layer model and its application in floating offshore wind turbine structural response analysis

Liqiang An, Zenghao Huang, Xinmeng Yang, Ruixing Zhang et al.
2 citations
Journal of Renewable and Sustainable Energy
Tropical and Extratropical Cyclones Research
0.75
article

Improved tropical cyclone boundary layer model and its application in floating offshore wind turbine structural response analysis

Liqiang An, Zenghao Huang, Xinmeng Yang, Ruixing Zhang, Lun He
article en
2 citations

Abstract

The accurate simulation of tropical cyclone (TC) wind fields is essential for analyzing structural responses, given the potential severe damage to infrastructure caused by TCs. An improved TC boundary layer mean wind field model is proposed, building upon the Kepert model, by introducing a two-dimensional pressure field that varies with height and radius, a surface turbulent diffusivity influenced by wind speed at the lower boundary, and a surface roughness length affected by waves and spray. The accuracy of the improved model is validated through comparisons with TC observational data. Comparative analysis indicates that the Kepert model overestimates the tangential wind speed component. The two-dimensional pressure field employed in the improved model more accurately simulates the central pressure difference within the TC boundary layer. Furthermore, the incorporation of a surface turbulent diffusivity and sea surface roughness length that better reflects physical phenomena further enhances the accuracy of the improved wind field model. The structural responses of a floating offshore wind turbine (FOWT) situated in the TC eyewall region under emergency shutdown conditions are computed using both wind field models separately. The results indicate that blade tip displacement, tower top displacement, platform translation, and rotation responses (pitch and yaw) are overestimated by the Kepert model. In conclusion, the improved model accurately represents the TC structure, offering precise wind field data for assessing FOWT structural responses in TC conditions.

Journal of Renewable and Sustainable EnergyVol. 16(6)
North China Electric Power University (CN), China Southern Power Grid (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Tropical and Extratropical Cyclones Research
0.75
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