Probabilistic Distribution of Mooring Line Tension for Floating Offshore Wind Turbine
- Min Zhang (Ocean University of China) | Yanjian Wu (Ocean University of China) | Junfeng Du (Ocean University of China) | Yu Xu (Ocean University of China)
- Document ID
- International Society of Offshore and Polar Engineers
- The 27th International Ocean and Polar Engineering Conference, 25-30 June, San Francisco, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. International Society of Offshore and Polar Engineers
- mooring system, probability density function, tension, Floating offshore wind turbine
- 2 in the last 30 days
- 14 since 2007
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The probabilistic distribution analysis of the mooring line tension for the floating offshore wind turbine is performed in this paper. The OC3-Hywind-Spar with 5 MW baseline wind turbine presented by American National Renewable Energy Laboratory (NREL) is chosen as the target structure. First, the coupled dynamic responses are calculated in time domain. The annual wind-wave scatter diagram is defined based on the joint distribution model of wind and waves in the Northern North Sea. Then, the statistical characteristics of the mooring line tensions are investigated, in which kurtosis and skewness are computed and the non-Gaussian nature is proved. Several probability density functions (PDFs) models are applied. Finally, the most suitable probability distribution models that can match the statistical distribution feature of the mooring line tension amplitudes for both short-term and long-term are presented.
Along with energy scarcity and global warming become increasing seriously, wind energy as a green renewable energy attracts much attention of researchers. Due to limit of installation space for onshore wind turbines, offshore wind energy has a broad prospect of application. As the water depth goes deeper, the wind resources are extremely abundant. Therefore, a wind turbine mounted on a floating support structure may be the most suitable choice to generate electricity in deep water. As the ocean environment becomes more hostile, it brings a challenge that how to ensure the safety of the structure which withstands the hostile ocean environment.
For the years of services, the fatigue damages are unavoidable and have an important effect on the operation and maintenance of the offshore wind turbine (OWT) support structures. The assessment of fatigue damage is necessary and required by industry standards in the design phase. The spectral method is one of the most popular techniques to evaluate the fatigue damage with the advantages of less computation time and storage space. For the procedures of spectral fatigue damage assessment as well as reliability evaluation, the structural response amplitude/range distribution is one of the most important key factors.
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