Optimal Decision Making for Life Extension for Wind Turbines

Jannie S. Nielsen, Nikolay Krasimirov Dimitrov, John D. Sørensen

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Abstract

This paper presents how the decisions made in relation to life extension for wind turbines can be formulated as a Bayesian decision problem with decisions on analyses and inspections before the decision on whether to extend the lifetime. The paper presents an implementation where semi-probabilistic analyses are used to verify whether the fatigue life is sufficient for life extension, and where operational data can be exploited to reduce epistemic uncertainties for a more accurate prediction of the fatigue life. The optimal decision policies depends on the expected benefit of life extension, and there is a potential for making general recommendations to support wind turbine owners.
Original languageEnglish
Title of host publicationICASP13 Proceedings
Number of pages8
Publication date2019
ISBN (Print)979-119671250195530
DOIs
Publication statusPublished - 2019
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul, Korea, Republic of
Duration: 26 May 201930 May 2019
Conference number: 13

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering
Number13
CountryKorea, Republic of
CitySeoul
Period26/05/201930/05/2019

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