Projects per year
Abstract
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 language | English |
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Pages | Paper GT2012-68985 |
Number of pages | 11 |
Publication status | Published - 11 Jun 2012 |
Event | ASME Turbo Expo 2012 - Copenhagen, Denmark Duration: 11 Jun 2012 → 15 Jun 2012 |
Conference
Conference | ASME Turbo Expo 2012 |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 11/06/12 → 15/06/12 |
Keywords
- offshore
- wind turbine
- operation
- maintenance
- novel time domain
- modeling approach
- meteo-ocean
Fingerprint
Dive into the research topics of 'Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach'. Together they form a unique fingerprint.Projects
- 1 Finished
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Quantitative Modelling to Estimate Offshore Wind Farm Maintenance Costs
McMillan, D. (Principal Investigator), Dinwoodie, I. A. (Researcher), Ault, G. (Co-investigator) & Quail, F. (Co-investigator)
30/09/10 → 30/09/13
Project: Internally funded project
Research output
- 1 Paper
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Heavy lift vessel strategy analysis for offshore wind
Dinwoodie, I. A. & McMillan, D., Feb 2013. 9 p.Research output: Contribution to conference › Paper › peer-review