Quantification of condition monitoring benefit for offshore wind turbines

D. McMillan, G.W. Ault

Research output: Contribution to journalArticle

106 Citations (Scopus)

Abstract

Condition monitoring (CM) systems are increasingly installed in wind turbines with the goal of providing component-specific information to wind farm operators, theoretically increasing equipment availability via maintenance and operating actions based on this information. In the offshore case, economic benefits of CM systems are often assumed to be substantial, as compared with experience of onshore systems. Quantifying this economic benefit is non-trivial, especially considering the general lack of utility experience with large offshore wind farms. A quantitative measure of these benefits is therefore of value to utilities and operations and maintenance (O & M) groups involved in planning and operating future offshore wind farms. The probabilistic models presented in this paper employ a variety of methods including discrete-time Markov Chains, Monte Carlo methods and time series modelling. The flexibility and insight provided by this framework captures the necessary operational nuances of this complex problem, thus enabling evaluation of wind turbine CM offshore. The paper concludes with a study of baseline CM benefit, sensitivity to O & M costs and finally effectiveness of the CM system itself.
Original languageEnglish
Pages (from-to)267-285
Number of pages19
JournalWind Engineering
Volume31
Issue number4
DOIs
Publication statusPublished - May 2007

Keywords

  • wind farms
  • condition monitoring
  • operations and maintenance
  • Markov Chain
  • Monte Carlo
  • probabilistic model

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