Joint Environment Design Parameters for Offshore Floating Wind Turbines in the Yangjiang Sea Area of China

In recent years, the increasing frequency of strong and super typhoons has been attributed to rising sea surface temperatures due to global warming. This study utilized the Weather Research and Forecasting (WRF) and Simulating WAves Nearshore (SWAN) models to analyze 30 years of wind and wave data for the Yangjiang sea area in China. The accuracy of the numerical simulations was validated using observed data from typhoons Ty201213, Ty201522, Ty201822, and Ty202118, along with wind and wave data from December 2024. This study utilized the P-III distribution to analyze design wind parameters. At a height of 10 m, the 3 s and 10 min mean wind speeds for the 100- and 50-year return periods were 62.21 m/s, 47.85 m/s, 57.99 m/s, and 44.61 m/s, respectively. At hub height (170 m), the corresponding values were 80.27 m/s, 61.75 m/s, 74.84 m/s, and 57.57 m/s. Furthermore, this study successfully applied a 2D-KDE approach to construct a joint probability model and derive environmental contours for extreme environmental assessments. The HS and TP at project point P for the 100- and 50-year return periods are 13.61 m and 15.91 s, as well as 12.39 m and 15.07 s, respectively.

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Publication Details

Journal
Energies
Published
2026-02-03
DOI
https://doi.org/10.3390/en19030802
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00

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Joint Environment Design Parameters for Offshore Floating Wind Turbines in the Yangjiang Sea Area of China

Shicheng Lin, Dong Jiang, Jun Wang, ZhengLin LI et al.
Energies
Tropical and Extratropical Cyclones Research
article

Joint Environment Design Parameters for Offshore Floating Wind Turbines in the Yangjiang Sea Area of China

Shicheng Lin, Dong Jiang, Jun Wang, ZhengLin LI, Yuanzhang Zhao, Zhifeng Wang, Dongdong Pan
article en

Abstract

In recent years, the increasing frequency of strong and super typhoons has been attributed to rising sea surface temperatures due to global warming. This study utilized the Weather Research and Forecasting (WRF) and Simulating WAves Nearshore (SWAN) models to analyze 30 years of wind and wave data for the Yangjiang sea area in China. The accuracy of the numerical simulations was validated using observed data from typhoons Ty201213, Ty201522, Ty201822, and Ty202118, along with wind and wave data from December 2024. This study utilized the P-III distribution to analyze design wind parameters. At a height of 10 m, the 3 s and 10 min mean wind speeds for the 100- and 50-year return periods were 62.21 m/s, 47.85 m/s, 57.99 m/s, and 44.61 m/s, respectively. At hub height (170 m), the corresponding values were 80.27 m/s, 61.75 m/s, 74.84 m/s, and 57.57 m/s. Furthermore, this study successfully applied a 2D-KDE approach to construct a joint probability model and derive environmental contours for extreme environmental assessments. The HS and TP at project point P for the 100- and 50-year return periods are 13.61 m and 15.91 s, as well as 12.39 m and 15.07 s, respectively.

EnergiesVol. 19(3)
China Power Engineering Consulting Group (China) (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 76%
Tropical and Extratropical Cyclones Research
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Joint Environment Design Parameters for Offshore Floating Wind Turbines in the Yangjiang Sea Area of China — Shicheng Lin, Dong Jiang, et al. · Energies (2026) | TGRS Research Map | TGRS