Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach

Iain Allan Dinwoodie, David McMillan, Francis Quail

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This paper presents a novel approach to repair modeling using a time domain Auto-Regressive model to represent meteo-ocean site conditions. The short term hourly correlations, medium term access windows of periods up to days and the annual distibution of site data are captured. In addition, seasonality is included. Correlation observed between wind and wave site can be incorporated if simultaneous data exists. Using this approach a time series for both significant wave height and mean wind speed is described. This allows MTTR to be implemented within the reliability simulation as a variable process, dependent on significant wave height. This approach automatically captures site characteristics including seasonality and allows for complex analysis using time dependent constaints such as working patterns to be implemented. A simple cost model for lost revenues determined by the concurrent simulated wind speed is also presented. A preliminary investigation of the influence of component reliability and access thresholds at various existing sites on availability is presented demonstrating the abiltiy of the modeling approach to offer new insights into offshore wind turbine operation and maintenance.
Original languageEnglish
PagesPaper GT2012-68985
Number of pages11
Publication statusPublished - 11 Jun 2012
EventASME Turbo Expo 2012 - Copenhagen, Denmark
Duration: 11 Jun 201215 Jun 2012


ConferenceASME Turbo Expo 2012


  • offshore
  • wind turbine
  • operation
  • maintenance
  • novel time domain
  • modeling approach
  • meteo-ocean


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