Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Bossanyi (2000)
The Design of closed loop controllers for wind turbinesWind Energy, 3
Hazim Namik, K. Stol (2010)
Individual blade pitch control of floating offshore wind turbinesWind Energy, 13
(2015)
Integration of Nonlinear Finite Element Analysis of Disbonds of Wind Turbine Blades Into the NUMAD Analysis System
(2004)
WT Perf Users Guide
Xueling Fan, Q. Sun, M. Kikuchi (2010)
REVIEW OF DAMAGE TOLERANT ANALYSIS OF LAMINATED COMPOSITESJournal of Solid Mechanics, 2
A. Kusiak, Zhe Song (2010)
Design of wind farm layout for maximum wind energy captureRenewable Energy, 35
Atsushi Yamashita, K. Sekita (2004)
Analysis of the Fatigue Damage on the Large Scale Offshore Wind Turbines Exposed to Wind and Wave Loads
J. Palutikof, J. Halliday, G. Watson, T. Holt, R. Barthelmie, J. Coelingh, L. Folkerts, J. Cleijne (2002)
Predicting the wind energy resource in the offshore seas of Europe
E. Bossanyi (2003)
Wind Turbine Control for Load ReductionWind Energy, 6
S. Xiao, Geng Yang, H. Geng (2013)
Individual pitch control design of wind turbines for load reduction using2013 IEEE ECCE Asia Downunder
J. Jonkman (2008)
Influence of Control on the Pitch Damping of a Floating Wind Turbine
J. Jonkman, Marshall Buhl (2005)
FAST User's Guide
165 MW Nysted Offshore Wind Farm . First Year of Operation { Performance as Planned . ”
S. Christiansen, T. Bak, T. Knudsen (2013)
Damping Wind and Wave Loads on a Floating Wind TurbineEnergies, 6
J. Jonkman, S. Butterfield, W. Musial, G. Scott (2009)
Definition of a 5-MW Reference Wind Turbine for Offshore System Development
T. Larsen, T. Hanson (2007)
A method to avoid negative damped low frequent tower vibrations for a floating, pitch controlled wind turbine, 75
S. Pryor, M. Nielsen, R. Barthelmie, J. Mann (2004)
Can Satellite Sampling of Offshore Wind Speeds Realistically Represent Wind Speed Distributions? Part II: Quantifying Uncertainties Associated with Distribution Fitting MethodsJournal of Applied Meteorology, 43
J. Crews, K. Shivakumar, I. Raju (1991)
Strain energy release rate distributions for double cantilever beam specimensAIAA Journal, 29
Wenjin Zhu, M. Fouladirad, C. Bérenguer (2013)
A predictive maintenance policy based on the blade of offshore wind turbine2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS)
J. Berg, B. Resor, B. Owens, D. Laird (2013)
Numerical Manufacturing And Design tool
José Rangel-Ramírez, J. Sørensen (2012)
Risk-based inspection planning optimisation of offshore wind turbinesStructure and Infrastructure Engineering, 8
G. Bussel, M. Zaayer (2001)
Reliability, availability and maintenance aspects of large-scale offshore wind farms, a concepts study
M. Rotea, M. Lackner, R. Saheba (2010)
Active Structural Control of Offshore Wind Turbines
Noah Myrent, Joshua Kusnick, Natalie Barrett, D. Adams, D. Griffith (2013)
Structural health and prognostics management for offshore wind turbines
S. Frost, K. Goebel, M. Balas, Michael Henderson (2013)
Integrating Systems Health Management with Adaptive Contingency Control for Wind Turbines
P. Christensen, G. Giebel (2001)
Availability of wind turbines in remote places. A statistical and a real-time view
B. Resor (2013)
Definition of a 5MW/61.5m wind turbine blade reference model.
E. Bossanyi (2003)
Individual Blade Pitch Control for Load ReductionWind Energy, 6
D. Griffith, B. Resor, J. White, J. Paquette, Alistair Ogilvie, V. Hines, N. Yoder (2012)
Prognostic Control to Enhance Offshore Wind Turbine Operations and Maintenance Strategies.
Brian Snyder, M. Kaiser (2009)
Ecological and economic cost-benefit analysis of offshore wind energyRenewable Energy, 34
Jenny Trumars, N. Tarp-Johansen, T. Krogh (2005)
Fatigue Loads on Offshore Wind Turbines Due to Weakly Non-Linear Waves, 2
J. Berg, J. Paquette, B. Resor (2011)
Mapping of 1D Beam Loads to the 3D Wind Blade for Buckling Analysis.
(2002)
The Impact of Different Means of Transport on the Operation and Maintenance Strategy for Offshore Wind Farms
D. Frangopol, D. Saydam, Sunyong Kim (2012)
Maintenance, management, life-cycle design and performance of structures and infrastructures: a brief reviewStructure and Infrastructure Engineering, 8
(2000)
The NASA STI Program Office provides
S. Report, D. Griffith, N. Yoder, B. Resor, J. White, A. Joshua (2012)
Structural health and prognostics management for offshore wind turbines : an initial roadmap.
Bikun Wang, Qingchuan Zeng, Lei Wang, Yongduan Song (2013)
Fatigue Loads Alleviation of Floating Offshore Wind Turbine Using Individual Pitch Control
Junqiang Zhang, Souma Chowdhury, J. Zhang, Weiyang Tong, A. Messac (2012)
Optimal Preventive Maintenance Time Windows for Offshore Wind Farms Subject to Wake Losses
E. Bossanyi (2005)
Further load reductions with individual pitch controlWind Energy, 8
D. Griffith, N. Yoder, B. Resor, J. White, J. Paquette (2014)
Structural health and prognostics management for the enhancement of offshore wind turbine operations and maintenance strategiesWind Energy, 17
M. Eder, Robert Bitsche, M. Nielsen, K. Branner (2014)
A practical approach to fracture analysis at the trailing edge of wind turbine rotor bladesWind Energy, 17
Noah Myrent, N. Bilal, D. Adams, D. Griffith (2014)
Aerodynamic Sensitivity Analysis of Rotor Imbalance and Shear Web Disbond Detection Strategies for Offshore Structural Health Prognostics Management of Wind Turbine Blades
J. Gonzalez, M. Payán, J. Riquelme-Santos (2013)
Optimal control of wind turbines for minimizing overall wake effect losses in offshore wind farmsEurocon 2013
Jason Marden, S. Ruben, L. Pao (2012)
Surveying Game Theoretic Approaches for Wind Farm Optimization
The diffculty of access for offshore wind turbines leads to expensive and rare opportunities for maintenance. Smart loads management (derating) is investigated for the potential to reduce offshore costs of energy. Derating refers to altering the rotor angular speed and blade pitch to limit loads on damaged rotor blades at the cost of reduced power production. The economic benefits of derating wind turbines with damaged blades are demonstrated in terms of the potential to avoid full shutdown or delay maintenance. High fidelity analysis techniques like 3D finite element modeling (FEM) are used alongside beam models of wind turbine blades to characterize these strategies in terms of their effect to mitigate damage growth. This study considers a common damage type for wind turbine blades, the bond line failure, and shows how 3D FEM can be used to quantify the effect of operations and control strategies designed to extend the fatigue life of damaged blades.
Wind Engineering – SAGE
Published: Aug 1, 2015
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.