• DocumentCode
    1091785
  • Title

    Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters

  • Author

    McMillan, D. ; Ault, G.W.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow
  • Volume
    2
  • Issue
    1
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    60
  • Lastpage
    72
  • Abstract
    The economic case for condition monitoring (CM) applied to wind turbines is currently not well quantified and the factors involved are not fully understood. In order to make more informed decisions regarding whether deployment of CM for wind turbines is economically justified, a refined set of probabilistic models capturing the processes involved are presented. Sensitivity of the model outputs with respect to variables of interest are investigated within the bounds of published data and expert opinion. The results show that the levels of benefit are dependent on a variety of factors including wind profile, typical downtime duration and wind turbine sub-component replacement cost.
  • Keywords
    Monte Carlo methods; condition monitoring; power generation economics; wind turbines; Monte Carlo simulation; condition monitoring; economic benefit; onshore wind turbines; operational parameters sensitivity; probabilistic models;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg:20070064
  • Filename
    4463801