Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2004)
Turbulence and Mesoscale Meteorology
J. Sharma, R. Dean (1981)
Second-Order Directional Seas and Associated Wave ForcesSociety of Petroleum Engineers Journal, 21
O. Rozanova (2004)
Note on the typhoon eye trajectoryRegular & Chaotic Dynamics, 9
K. Emanuel (2004)
Atmospheric Turbulence and Mesoscale Meteorology: Tropical cyclone energetics and structure
Pankaj Agarwal, L. Manuel (2009)
On the Modeling of Nonlinear Waves for Prediction of Long-Term Offshore Wind Turbine Loads
M. Høgedal, J. Skourup, H. Burcharth (1994)
WAVE FORCES ON A VERTICAL SMOOTH CYLINDER IN DIRECTIONAL WAVES, 3
Olga S.Rozanova (2003)
Note on the typhoon eye trajectory
K. Emanuel (1986)
An Air-Sea Interaction Theory for Tropical Cyclones. Part I: Steady-State MaintenanceJournal of the Atmospheric Sciences, 43
(1994)
Certain statistical characteristics and features of typhoons
P. Agarwal, L. Manuel (2009)
Simulation of offshore wind turbine response for long-term extreme load predictionEngineering Structures, 31
M. DeMaria, J. Kaplan (1994)
A Statistical Hurricane Intensity Prediction Scheme (SHIPS) for the Atlantic BasinWeather and Forecasting, 9
M. Donelan, J. Hamilton, W. Hui (1985)
Directional spectra of wind-generated ocean wavesPhilosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 315
V. Bulatov, Ju. Vladimirov, V. Danilov, S. Dobrokhotov (1994)
On motion of the point algebraic singularity for two-dimensional nonlinear equations of hydrodynamicsMathematical Notes, 55
(1985)
A forecasting of the trajectory of tropical cyclone according to the self adapting model method
(1999)
Vulnerability of tall buildings
P. Agarwal, L. Manuel (2011)
Incorporating irregular nonlinear waves in coupled simulation and reliability studies of offshore wind turbinesApplied Ocean Research, 33
K. Hasselmann, T. Barnett, E. Bouws, H. Carlson, D. Cartwright, K. Enke, J. Ewing, H. Gienapp, D. Hasselmann, P. Kruseman, A. Meerburg, P. Müller, D. Olbers, K. Richter, W. Sell, H. Walden (1973)
Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP), 12
K. Emanuel, Christopher DesAutels, C. Holloway, R. Korty (2004)
Environmental Control of Tropical Cyclone IntensityJournal of the Atmospheric Sciences, 61
Hieu Nguyen, L. Manuel, J. Jonkman, P. Veers (2013)
Simulation of Thunderstorm Downbursts and Associated Wind Turbine LoadsJournal of Solar Energy Engineering-transactions of The Asme, 135
Hieu Nguyen, L. Manuel, P. Veers (2011)
Wind turbine loads during simulated thunderstorm microburstsJournal of Renewable and Sustainable Energy, 3
S. Hsu (2003)
Estimating Overwater Friction Velocity and Exponent of Power-Law Wind Profile from Gust Factor during StormsJournal of Waterway Port Coastal and Ocean Engineering-asce, 129
K. Emanuel, S. Ravela, E. Vivant, C. Risi (2006)
A STATISTICAL DETERMINISTIC APPROACH TO HURRICANE RISK ASSESSMENTBulletin of the American Meteorological Society, 87
S. Somot, F. Giorgi, C. Dubois, E. Flaounas, Anika Obermann, A. Dell’Aquila, G. Pisacane, A. Harzallah, E. Lombardi, B. Ahrens, Naveed Akhtar, S. Bastin, J. Bartholy, K. Béranger, J. Beuvier, S. Bouffies-Cloche, J. Brauch, W. Cabos, S. Calmanti, J. Calvet, A. Carillo, D. Conte, E. Coppola, V. Djurdjević, P. Drobinski, A. Elizalde, M. Gaertner, P. Galan, C. Gallardo, S. Gualdi, M. Gonçalves, O. Jorba, G. Jordà, Blandine Lheveder, Cindy Lebeaupin-Brossier, Laurent Li, G. Liguori, P. Lionello, Diego Macias‐Moy, Baris Onol, B. Rajkovic, Karim Ramage, F. Sevault, G. Sannino, M. Struglia, A. Sanna (1996)
Bulletin of the American Meteorological Society
(1989)
Force distribution due to short-crested waves. In: Proceedings of the international association
K. Emanuel (1995)
Sensitivity of Tropical Cyclones to Surface Exchange Coefficients and a Revised Steady-State Model incorporating Eye DynamicsJournal of the Atmospheric Sciences, 52
Yu-xiu Yu, Ning-chuan Zhang, Qun Zhao (2010)
CHAPTER 33 WAVE ACTIONS ON A VERTICAL CYLINDER IN MULTI-DRIECTIONAL RANDOM WAVES
A. Myers, S. Arwade, J. Manwell (2013)
CONSIDERATION OF HURRICANES AND TROPICAL CYCLONES IN THE DESIGN OF OFFSHORE WIND TURBINES
I. Young (2006)
Directional spectra of hurricane wind wavesJournal of Geophysical Research, 111
G. Holland (1980)
An Analytic Model of the Wind and Pressure Profiles in HurricanesMonthly Weather Review, 108
Eungsoo Kim, L. Manuel (2014)
Hurricane-Induced Loads on Offshore Wind Turbines with Considerations for Nacelle Yaw and Blade Pitch ControlWind Engineering, 38
Shuyi Chen, J. Price, Wei Zhao, M. Donelan, E. Walsh (2007)
The CBLAST-Hurricane program and the next-generation fully coupled atmosphere–wave–ocean models for hurricane research and predictionBulletin of the American Meteorological Society, 88
S. Sirnivas, M. Filippelli (2014)
Assessment of Offshore Wind System Design, Safety, and Operation Standards
Hieu Nguyen, L. Manuel (2013)
Thunderstorm downburst risks to wind farmsJournal of Renewable and Sustainable Energy, 5
(1985)
Rostkova TB and Ordanovich AE (1985) A forecasting of the trajectory of tropical cyclone according to the self adapting model
M. Donelan, B. Haus, N. Reul, W. Plant, M. Stiassnie, H. Graber, O. Brown, E. Saltzman (2004)
On the limiting aerodynamic roughness of the ocean in very strong windsGeophysical Research Letters, 31
This study describes a framework for estimation of structural damage to offshore wind plants during hurricanes. Related risk assessment is fundamentally dependent on the estimation of hurricane-generated wind speed exceedance probabilities at selected hub heights of wind turbines in the plant and on estimation of associated wind turbine loads. As part of a framework for risk assessment introduced here, synthetic storm tracks are first simulated over the ocean using available historical tropical storm data; then, a hurricane intensity evolution model based on thermodynamic and atmospheric environmental variables is developed for each simulated track as it approaches the chosen wind plant site. Based on this intensity model, a turbulent wind field can be simulated at any location of interest along the hurricane track. The simulated turbulent wind field can then be used to estimate wind speed exceedance probability distributions and, when combined with partially correlated waves, it can also be used in analyzing the response of individual turbines in a wind plant. A framework for the overall risk assessment is presented; individual components that are part of such a framework are described briefly in illustrative applications. Finally, a brief discussion is presented that addresses issues related to the concept of “robustness” checks that are often considered in the context of safe performance-based design. This concept employed in the oil and gas industries provides for a secondary margin for “beyond design-level” external conditions out to more extreme conditions as might accompany hurricanes.
Wind Engineering – SAGE
Published: Jun 1, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.