Optimal Decision Making for Life Extension for Wind Turbines

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Abstrakt

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.
OriginalsprogEngelsk
TitelProceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
ForlagSeoul National University
Publikationsdato2019
Artikelnummer83
KapitelICAPS13-MS14
ISBN (Elektronisk)979-119671250195530
DOI
StatusUdgivet - 2019
Begivenhed13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Sydkorea
Varighed: 26 maj 201930 maj 2019
https://www.icasp13.snu.ac.kr/

Konference

Konference13th International Conference on Applications of Statistics and Probability in Civil Engineering
LokationSeoul National University
LandSydkorea
BySeoul
Periode26/05/201930/05/2019
Internetadresse

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Citationsformater

Nielsen, J. S., Dimitrov, N. K., & Sørensen, J. D. (2019). Optimal Decision Making for Life Extension for Wind Turbines. I Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 [83] Seoul National University. https://doi.org/10.22725/ICASP13.083