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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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

Dinwoodie, Iain Allan and McMillan, David and Quail, Francis (2012) Analysis of offshore wind turbine operation & maintenance using a novel time domain meteo-ocean modeling approach. In: ASME Turbo Expo 2012, 2012-06-11 - 2012-06-15.

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Quail_F_Iain_Dinwoodie_et_al_Pure_Analysis_of_offshore_wind_turbine_operation_and_maintenance_using_a_novel_time_domain_meteo_ocean_modelling_approach_Jun_2012.pdf - Preprint

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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.