Modeling the relationship between wind turbine failure modes and the environment

G. Wilson, D. McMillan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

9 Citations (Scopus)
7 Downloads (Pure)

Abstract

It is important that the impact of the offshore environment on wind turbine reliability is reduced significantly due to the importance of offshore wind deployment to global energy targets. Future development may otherwise be compromised by unsustainable operation and maintenance (O&M) costs. This paper aims to improve the accuracy of offshore O&M models by accounting for any relationship between certain weather characteristics and wind turbine failure modes. This is done using maintenance data from a UK onshore wind farm and weather data from a weather station located nearby. Non- parametric Mixture Models are estimated from the data and they are used to calculate a more accurate, weather dependent, failure rate which will be used in future research for Markov Chain Monte Carlo Simulation. This research will be of particular interest to wind turbine operators and manufacturers.

Original languageEnglish
Title of host publicationSafety, Reliability and Risk Analysis
Subtitle of host publicationBeyond the Horizon
EditorsR.D.J.M. Steenbergen, P.H.A.J.M. van Gelder, S. Miraglia, A.C.W.M. Vrouwenvelder
Place of PublicationBoca Raton
Pages801-809
Number of pages9
Publication statusPublished - 18 Sep 2013
EventEuropean Safety and Reliability Conference, ESREL 2013 - Amsterdam, United Kingdom
Duration: 29 Sep 20132 Oct 2013

Conference

ConferenceEuropean Safety and Reliability Conference, ESREL 2013
CountryUnited Kingdom
CityAmsterdam
Period29/09/132/10/13

Keywords

  • monte carlo methods
  • reliability
  • markov chain monte carlo simulation
  • offshore environments
  • offshore winds
  • operation and maintenance
  • parametric mixture model
  • turbine failures
  • weather stations
  • wind turbine reliabilities

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