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Title: Structural health and prognostics management for the enhancement of offshore wind turbine operations and maintenance strategies

Journal Article · · Wind Energy
DOI:https://doi.org/10.1002/we.1665· OSTI ID:1078915
 [1];  [2];  [1];  [1];  [1]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Wind and Water Technologies
  2. ATA Engineering, San Diego, CA (United States)

Offshore wind turbines are an attractive source for clean and renewable energy for reasons including their proximity to population centers and higher capacity factors. One obstacle to the more widespread installation of offshore wind turbines in the USA, however, is that recent projections of offshore operations and maintenance costs vary from two to five times the land-based costs. One way in which these costs could be reduced is through use of a structural health and prognostics management (SHPM) system as part of a condition-based maintenance paradigm with smart loads management. Our paper contributes to the development of such strategies by developing an initial roadmap for SHPM, with application to the blades. One of the key elements of the approach is a multiscale simulation approach developed to identify how the underlying physics of the system are affected by the presence of damage and how these changes manifest themselves in the operational response of a full turbine. A case study of a trailing edge disbond is analysed to demonstrate the multiscale sensitivity of damage approach and to show the potential life extension and increased energy capture that can be achieved using simple changes in the overall turbine control and loads management strategy. Finally, the integration of health monitoring information, economic considerations such as repair costs versus state of health, and a smart loads management methodology provides an initial roadmap for reducing operations and maintenance costs for offshore wind farms while increasing turbine availability and overall profit.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1078915
Report Number(s):
SAND-2013-3321J; 448564
Journal Information:
Wind Energy, Vol. 17, Issue 11; ISSN 1095-4244
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

References (25)

Pricing offshore wind power journal October 2011
Offshore wind power policy and planning in Sweden journal February 2011
Reliability-Centered Maintenance for Wind Turbines Based on Statistical Analysis and Practical Experience journal March 2012
Ecological and economic cost-benefit analysis of offshore wind energy journal June 2009
2010 Wind Technologies Market Report report June 2011
Wind turbine downtime and its importance for offshore deployment journal April 2011
Condition Monitoring and ault Diagnosis in Wind Energy Conversion Systems: A Review
  • Amirat, Y.; Benbouzid, M. E. H.; Bensaker, B.
  • 2007 IEEE International Electric Machines and Drives Conference, IEMDC07, 2007 IEEE International Electric Machines & Drives Conference https://doi.org/10.1109/IEMDC.2007.383639
conference May 2007
Maintenance Management of Wind Power Systems Using Condition Monitoring Systems—Life Cycle Cost Analysis for Two Case Studies journal March 2007
Structural health monitoring for a wind turbine system: a review of damage detection methods journal October 2008
Reliability-Centred Asset Maintenance — A step towards enhanced reliability, availability, and profitability of wind power plants conference October 2010
Practical aspects of a condition monitoring system for a wind turbine with emphasis on its design, system architecture, testing and installation journal May 2010
Condition based maintenance optimization for wind power generation systems under continuous monitoring journal May 2011
Condition monitoring and prognosis of utility scale wind turbines journal September 2006
Reliability of Wind Turbine Technology Through Time journal June 2008
Wind turbines journal March 2005
Structural health and prognostics management for offshore wind turbines: An initial roadmap report December 2012
Extraction of equivalent beam properties from blade models journal January 2007
Definition of a 5-MW Reference Wind Turbine for Offshore System Development report February 2009
Structural health monitoring of wind turbines: method and application to a HAWT journal January 2011
Structural health monitoring techniques for wind turbine blades journal April 2000
Application of Synchronous Averaging to Vibration Monitoring of Rolling Element Bearings journal November 2000
Kernel density estimation via diffusion journal October 2010
Consideration of environmental and operational variability for damage diagnosis
  • Sohn, Hoon; Worden, Keith; Farrar, Charles R.
  • SPIE's 9th Annual International Symposium on Smart Structures and Materials, SPIE Proceedings https://doi.org/10.1117/12.472546
conference June 2002
Statistical Damage Classification Using Sequential Probability Ratio Tests journal March 2003
Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters journal March 2008

Cited By (5)

Effects of power reserve control on wind turbine structural loading: Structural loads analysis of power reserve control strategies for wind turbines journal March 2015
Aeroelastic design of large wind turbine blades considering damage tolerance: Damage tolerant design strategies for wind turbine blades journal June 2016
In-situ damage localization for a wind turbine blade through outlier analysis of stochastic dynamic damage location vector-induced stress resultants journal November 2016
Active vibration-based structural health monitoring system for wind turbine blade: Demonstration on an operating Vestas V27 wind turbine journal August 2017
A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant journal January 2016