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Total experimental uncertainty in hydrodynamic testing of a semisubmersible wind turbine, considering numerical propagation of systematic uncertainty
被引:50
|作者:
Robertson, Amy
[1
]
Bachynski, Erin E.
[2
]
Gueydon, Sebastien
[3
]
Wendt, Fabian
[1
]
Schuenemann, Paul
[4
]
机构:
[1] Natl Renewable Energy Lab, 15013 Denver West Pkwy, Golden, CO 80401 USA
[2] Norwegian Univ Sci & Technol NTNU, Dept Marine Technol, Marine Technol Ctr, N-7491 Trondheim, Norway
[3] MARIN, 2 Haagsteeg,POB 28, NL-6700 AA Wageningen, Netherlands
[4] Univ Rostock, Lehrstuhl Windenergietech, Fak Maschinenbau & Schiffstech, Albert Einstein Str 2, D-18059 Rostock, Germany
基金:
欧盟地平线“2020”;
关键词:
Floating offshore wind;
Uncertainty analysis;
OC5;
Validation;
Nonlinear wave mechanics;
D O I:
10.1016/j.oceaneng.2019.106605
中图分类号:
U6 [水路运输];
P75 [海洋工程];
学科分类号:
0814 ;
081505 ;
0824 ;
082401 ;
摘要:
Quantifying the uncertainty in experimental results is a critical step in properly validating numerical simulation tools for designing floating wind turbines; without a good understanding of the experimental uncertainties, it is impossible to determine if numerical simulation tools can capture the physics with acceptable accuracy. Recent validation studies suggest that the wave-induced, low-frequency surge and pitch motions of semisubmersible-type floating wind turbines are consistently underpredicted by numerical simulations, but it has not been possible to state whether or not this underprediction is within the level of experimental error. In the present work, previously assessed systematic uncertainty components in hydrodynamic tests of the OC5-DeepCwind semisubmersible are propagated to response metrics of interest using numerical simulation tools, and combined with the system's random uncertainty to obtain the total experimental uncertainty. The uncertainty in the low-frequency response metrics is found to be most sensitive to the system properties (e.g., mooring stiffness and center of gravity), and also the wave elevation. The results of the present study suggest that the underprediction of the low-frequency response behavior observed in previous validation studies is larger than the experimental uncertainty.
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