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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.
Originalsprog | Engelsk |
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Titel | Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 |
Forlag | Seoul National University |
Publikationsdato | 2019 |
Artikelnummer | 83 |
Kapitel | ICAPS13-MS14 |
ISBN (Elektronisk) | 979-119671250195530 |
DOI | |
Status | Udgivet - 2019 |
Begivenhed | 13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Sydkorea Varighed: 26 maj 2019 → 30 maj 2019 https://www.icasp13.snu.ac.kr/ |
Konference
Konference | 13th International Conference on Applications of Statistics and Probability in Civil Engineering |
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Lokation | Seoul National University |
Land/Område | Sydkorea |
By | Seoul |
Periode | 26/05/2019 → 30/05/2019 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Optimal Decision Making for Life Extension for Wind Turbines'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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LifeWind: Demonstration of Requirements for Life Extension of Wind Turbines beyond their Design Life
Sørensen, J. D. (PI (principal investigator)) & Nielsen, J. S. (CoI (co-investigator))
01/11/2017 → 31/10/2019
Projekter: Projekt › Forskning