Fatigue Life Convergence of Offshore Wind Turbine Support Structure According to Wind Measurement Period

Gee-Nam Lee, Duc-Vu Ngo, Sang-Il Lee and Dong-Hyawn Kim ()
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Gee-Nam Lee: Department of Ocean Science and Engineering, Kunsan National University, Gunsan 54150, Republic of Korea
Duc-Vu Ngo: Department of Ocean Science and Engineering, Kunsan National University, Gunsan 54150, Republic of Korea
Sang-Il Lee: Department of Wind Energy, Graduate School, Kunsan National University, Gunsan 54150, Republic of Korea
Dong-Hyawn Kim: School of Architecture and Coastal Construction Engineering, Kunsan National University, Gunsan 54150, Republic of Korea

Energies, 2023, vol. 16, issue 7, 1-14

Abstract: This paper investigated the fatigue life of offshore wind turbine (OWT) support structures. For this purpose, a 3 MW-capacity typical wind turbine is investigated using time-domain finite element simulations. In numerical simulations, different stochastic wind models corresponding to different accumulation periods are applied. Then, the stress-based fatigue life is estimated following the rain-flow counting algorithm and Palmgren-Miner linearly cumulative damage rule. The study also addresses the joint distribution of loads at the site of interest. Generally, the study emphasizes the significance of the long-term distribution of the applied environment loads and its influence on the fatigue life of OWT’s substructures. The results imply that the wind measurement period is directly linked to the fatigue life of offshore wind turbine support structures. Accordingly, its fatigue life is significantly reduced at the 25-year accumulative period of wind. Therefore, this study recommends that a sufficient number of accumulative periods of wind and other environmental loads should be considered appropriately.

Keywords: offshore wind turbine (OWT); wind measurement period; ocean environmental load; fatigue analysis; suction bucket (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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