Uncertainty models for the structural design of floating offshore wind turbines: A review
Uncertainty models for the structural design of floating offshore wind turbines: A review
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DOI：
10.1016/j.rser.2023.113610
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发表时间：
2023-10
影响因子：
15.9
通讯作者：
M. Ramezani;D. Choe;Khashayar Heydarpour;Bonjun Koo
中科院分区：
文献类型：
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作者：
M. Ramezani;D. Choe;Khashayar Heydarpour;Bonjun Koo
浮动式海上风力涡轮机已经作为在深水中获取大量风能资源的有希望的选择而出现，在深水中现有的固定式海上风力涡轮机不再实用。然而，由于海洋环境条件的性质，空气动力学/水动力学计算中涉及很大的不确定性，这些不确定性与结构和材料中的不确定性相结合。这不仅威胁到其可靠性，而且还大大增加了浮动海上风力涡轮机的制造成本。为了理解系统内的不确定性并正确预测其可靠性，首先，需要定义环境和子系统中涉及的不确定性。因此，本文的目的是提供一个广泛的审查的不确定性模型涉及的浮式海上风力涡轮机的结构设计。结构内的不确定性包括风力涡轮机、浮式结构和系泊缆的材料和几何/机械特性中固有的不确定性。流体动力学中的不确定性包括经验参数和与浮式装置的流体动力学建模有关的非线性。在环境荷载中，考虑了风荷载和波浪荷载的随机性以及参数的不确定性。随着时间的推移所造成的疲劳，腐蚀和气候危害的不确定性也进行了讨论。此外，还讨论了随机变量之间的相关性，如风、浪的相关性。最后，讨论了处理这些不确定性的方法，包括概率模型，其中包括不确定性和随机变量之间的相关性，以及建模误差。
Floating offshore wind turbines have arisen as a promising option to access massive wind energy resources in deep water, where the existing fixed-type offshore wind turbine is no longer practical. However, due to the nature of the oceanic environmental conditions, large uncertainties are involved in the aerodynamic/hydrodynamic calculations, which are coupled with those within the structures and materials. This not only threatens its reliability but also drastically increases the manufacturing cost of floating offshore wind turbines. To understand the uncertainty within the system and properly predict its reliability, first, the uncertainties involved in the environments and subsystems need to be defined. Therefore, this paper aims to provide an extensive review of the uncertainty models involved in the structural design of floating offshore wind turbines. The presented uncertainties within the structures include those inherent in the material and geometrical/mechanical properties of the wind turbine, floating structures, and mooring lines. The uncertainties within hydrodynamics include empirical parameters and nonlinearities involved with the hydrodynamics modeling of the floaters. Within the environmental loads, the parameter uncertainties as well as the randomness of wind and wave loads are presented. The uncertainties growing over time caused by fatigue, corrosion, and climate hazards are also discussed. In addition, the correlation between the random variables, such as the correlation of the wind and wave, is presented. Finally, the method of treating those uncertainties is discussed, including the probabilistic model which incorporates the uncertainties and the correlations between the random variables, as well as modeling errors.