• DocumentCode
    3437270
  • Title

    Maintenance modeling and optimization for wind turbine systems: A review

  • Author

    Fangfang Ding ; Zhigang Tian ; Tongdan Jin

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    569
  • Lastpage
    575
  • Abstract
    Wind power is a clean and sustainable energy resource to meet the growing electricity needs in the next 20-30 years. However operation and maintenance (O&M) of wind power systems counts for as much as 25-30% of the total energy production cost, which creates intensive interests in lowering the lifecycle costs. This paper reviews the maintenance methodologies recently developed for wind power industry. The review aims at surveying recent reliability analysis and maintenance models underpinning the decision on equipment inspection, repair and replacement. We also discuss the applications and limitations of these models. Based on the review some future research areas are proposed.
  • Keywords
    electricity supply industry; inspection; life cycle costing; maintenance engineering; optimisation; production equipment; reliability; sustainable development; wind power; wind turbines; O&M; electricity needs; equipment inspection; equipment repair; equipment replacement; lifecycle cost; maintenance methodologies; maintenance modeling; maintenance models; operation and maintenance; optimization; reliability analysis; sustainable energy resource; total energy production cost; wind power industry; wind power systems; Degradation; Industries; Maintenance engineering; Power system reliability; Reliability; Wind power generation; Wind turbines; condition-based maintenance; health prognostic; maintenance optimization; opportunistic maintenance; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625648
  • Filename
    6625648