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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.
|Title of host publication||Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019|
|Publisher||Seoul National University|
|Publication status||Published - 2019|
|Event||13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Korea, Republic of|
Duration: 26 May 2019 → 30 May 2019
|Conference||13th International Conference on Applications of Statistics and Probability in Civil Engineering|
|Location||Seoul National University|
|Country/Territory||Korea, Republic of|
|Period||26/05/2019 → 30/05/2019|
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- 1 Finished
LifeWind: Demonstration of Requirements for Life Extension of Wind Turbines beyond their Design Life
Sørensen, J. D. & Nielsen, J. S.
01/11/2017 → 31/10/2019