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J. Jonkman (2007)
Dynamics Modeling and Loads Analysis of an Offshore Floating Wind Turbine
K. Saranyasoontorn, L. Manuel (2004)
Efficient models for wind turbine extreme loads using inverse reliabilityJournal of Wind Engineering and Industrial Aerodynamics, 92
K. Saranyasoontorn, L. Manuel (2006)
Design Loads for Wind Turbines Using the Environmental Contour MethodJournal of Solar Energy Engineering-transactions of The Asme, 128
Abhinav Sultania, L. Manuel (2016)
Loads and motions for a spar-supported floating offshore wind turbineWind and Structures, 22
J. Jonkman, S. Butterfield, W. Musial, G. Scott (2009)
Definition of a 5-MW Reference Wind Turbine for Offshore System Development
K. Saranyasoontorn, L. Manuel (2004)
A comparison of wind turbine design loads in different environments using inverse reliability techniquesJournal of Solar Energy Engineering-transactions of The Asme, 126
P. Agarwal, L. Manuel (2009)
Simulation of offshore wind turbine response for long-term extreme load predictionEngineering Structures, 31
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supported floating offshore wind turbine. Wind and Structures
A. Spence (2010)
National Renewable Energy Laboratory: A profileAmerican Ceramic Society Bulletin, 89
S. Butterfield, W. Musial, J. Jonkman, P. Sclavounos (2007)
Engineering Challenges for Floating Offshore Wind Turbines
K. Saranyasoontorn, L. Manuel (2005)
On Assessing the Accuracy of Offshore Wind Turbine Reliability-based Design Loads From the Environmental Contour MethodInternational Journal of Offshore and Polar Engineering, 15
Jeffrey Fogle, P. Agarwal, L. Manuel (2008)
Towards an improved understanding of statistical extrapolation for wind turbine extreme loadsWind Energy, 11
The reliability analysis of a spar-supported floating offshore 5-MW wind turbine is the subject of this study. Environmental data from a selected site are employed in the numerical studies. Using time-domain simulations, the dynamic behavior of a coupled platform-turbine system is studied; statistics of tower and rotor loads as well as platform motions are estimated and critical combinations of wind speed and wave height identified. Long-term loads associated with a 50-year return period are estimated using statistical extrapolation based on loads derived from simulations. Inverse reliability procedures that seek appropriate fractile levels for underlying variables consistent with the target load return period are employed; these include use of (1) two-dimensional inverse first-order reliability method where extreme loads, conditional on wind speed and wave height random variables, are selected at median levels and (2) three-dimensional inverse first-order reliability method where variability in the environmental and load random variables is fully represented.
Wind Engineering – SAGE
Published: Feb 1, 2018
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