On the Failure Probability of Offshore Wind Turbines in the China Coastal Waters Due to Typhoons: A Case Study Using the OC4-DeepCwind Semisubmersible

2019 ◽  
Vol 10 (2) ◽  
pp. 522-532 ◽  
Author(s):  
Yichao Liu ◽  
Sunwei Li ◽  
Pak Wai Chan ◽  
Daoyi Chen
2021 ◽  
Vol 9 (5) ◽  
pp. 543
Author(s):  
Jiawen Li ◽  
Jingyu Bian ◽  
Yuxiang Ma ◽  
Yichen Jiang

A typhoon is a restrictive factor in the development of floating wind power in China. However, the influences of multistage typhoon wind and waves on offshore wind turbines have not yet been studied. Based on Typhoon Mangkhut, in this study, the characteristics of the motion response and structural loads of an offshore wind turbine are investigated during the travel process. For this purpose, a framework is established and verified for investigating the typhoon-induced effects of offshore wind turbines, including a multistage typhoon wave field and a coupled dynamic model of offshore wind turbines. On this basis, the motion response and structural loads of different stages are calculated and analyzed systematically. The results show that the maximum response does not exactly correspond to the maximum wave or wind stage. Considering only the maximum wave height or wind speed may underestimate the motion response during the traveling process of the typhoon, which has problems in guiding the anti-typhoon design of offshore wind turbines. In addition, the coupling motion between the floating foundation and turbine should be considered in the safety evaluation of the floating offshore wind turbine under typhoon conditions.


2013 ◽  
Vol 448-453 ◽  
pp. 1871-1874
Author(s):  
Yuan Xie

China has great potential in offshore wind energy and makes an ambitious target for offshore wind power development. Operation and Maintenance (O&M) of offshore wind turbines become more and more important for China wind industry. This study introduces the current offshore wind power projects in China. Donghai Bridge Offshore Demonstration Wind Farm (Donghai Bridge Project) is the first commercial offshore wind power project in China, which was connected to grid in June 2010. O&M of Donghai Bridge Project represent the state-of-the-art of China offshore O&M. During the past two and half years, O&M of Donghai Bridge Project has gone through three phases and stepped into a steady stage. Its believed that analysis of O&M of Donghai Bridge Project is very helpful for Chinas offshore wind power in the future.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Simona Trandafir ◽  
Vasundhara Gaur ◽  
Priya Behanan ◽  
Emi Uchida ◽  
Corey Lang ◽  
...  

2021 ◽  
Author(s):  
Reda Snaiki ◽  
Teng Wu

<p>Offshore wind energy is attracting increasing attention across the North America. However, the offshore wind turbines along the East Coast are extremely vulnerable to hurricane-induced hazards. The vulnerability to hurricanes is expected to change due to global warming’s effects. This study quantifies the risk of floating wind turbines (FWTs) subjected to hurricane hazards under current and future climate scenarios. The hurricane hazard estimation is achieved using a hurricane track model which generates a large synthetic database of hurricanes allowing for accurate risk estimation. The structural response of the FWTs during each hurricane event is obtained using an efficient physics-based 3-D model. The case study results involving a parked FWT indicate that the change in hurricane-induced risk, evaluated in terms of the magnification factor, to the FWTs would significantly increase with the intensity measure.</p>


2014 ◽  
Vol 134 (8) ◽  
pp. 1096-1103 ◽  
Author(s):  
Sho Tsujimoto ◽  
Ségolène Dessort ◽  
Naoyuki Hara ◽  
Keiji Konishi

Author(s):  
Jose´ G. Rangel-Rami´rez ◽  
John D. So̸rensen

Deterioration processes such as fatigue and corrosion are typically affecting offshore structures. To “control” this deterioration, inspection and maintenance activities are developed. Probabilistic methodologies represent an important tool to identify the suitable strategy to inspect and control the deterioration in structures such as offshore wind turbines (OWT). Besides these methods, the integration of condition monitoring information (CMI) can optimize the mitigation activities as an updating tool. In this paper, a framework for risk-based inspection and maintenance planning (RBI) is applied for OWT incorporating CMI, addressing this analysis to fatigue prone details in welded steel joints at jacket or tripod steel support structures for offshore wind turbines. The increase of turbulence in wind farms is taken into account by using a code-based turbulence model. Further, additional modes t integrate CMI in the RBI approach for optimal planning of inspection and maintenance. As part of the results, the life cycle reliabilities and inspection times are calculated, showing that earlier inspections are needed at in-wind farm sites. This is expected due to the wake turbulence increasing the wind load. With the integration of CMI by means Bayesian inference, a slightly change of first inspection times are coming up, influenced by the reduction of the uncertainty and harsher or milder external agents.


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