Influence of statistical uncertainty of component reliability estimations on offshore wind farm availability

Matti Niclas Scheu, Athanasios Kolios, Tim Fischer and Feargal Brennan

Reliability Engineering and System Safety, 2017, vol. 168, issue C, 28-39

Abstract: Offshore wind turbine reliability, one of the industry's biggest sources of uncertainty, is the focus of the present paper. Specifically the impact of uncertain component failure distributions at constant failure rates has been investigated with respect to its implications for wind farm availability. A fully probabilistic offshore wind simulation model has been applied to quantify results; effects shown in this paper underline the significant impact that failure probability distributions have on asset performance evaluation. It was found that wind farm availability numbers may vary in the range up to 20% just by changing the distributions of failure to a different pattern; in particular those scenarios in which extensive failure accumulation occurred led to significant losses in production. Results are interpreted and discussed mainly from the viewpoint of an offshore wind farm developer, owner and operator, with implications underlined for application in state-of-the-art offshore wind O&M (Operations and Maintenance) models and simulation tools.

Keywords: Offshore wind energy; Operations and maintenance; Maintenance modelling; Reliability; Statistical uncertainty; Availability (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:168:y:2017:i:c:p:28-39

DOI: 10.1016/j.ress.2017.05.021

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