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Experimental evaluation of strategies for wind turbine farm-wide fatigue damage estimation

Title
Experimental evaluation of strategies for wind turbine farm-wide fatigue damage estimation
Type
Article in International Scientific Journal
Year
2023
Authors
João Pacheco
(Author)
Other
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Sérgio Pereira
(Author)
FEUP
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Álvaro Cunha
(Author)
FEUP
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Filipe Magalhães
(Author)
FEUP
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Journal
Vol. 285
ISSN: 0141-0296
Publisher: Elsevier
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Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00Y-7NX
Abstract (EN): A significant percentage of the existing wind turbines are reaching their theoretical design life. Therefore, important decisions about decommissioning or life extension will have to be made soon. Direct measurement of strains allows estimating the accumulated fatigue damage with good accuracy over the monitoring period, but these are still rare in this industry. As this paper demonstrates, this can be used for estimation of the damage prior to and after the measurement period. Furthermore, considering that similar wind turbines of the same wind farm have similar behaviour, the damage results can be extrapolated to the entire wind farm. In this work, the strain measurements on an onshore wind turbine over two years are used to evaluate the fatigue progression over time. The experimentally evaluated fatigue damage is analyzed against operational and environmental condi-tions and clustered into several load cases. Then, the damage values are stored in a database according to the corresponding environmental conditions. Based on this and on the variables that characterize operating condi-tions recorded since the wind farm installation, it is possible to probabilistically predict the fatigue consumption in the entire wind farm. Alternative approaches to estimate fatigue damage for non-monitored operating con-ditions are proposed and evaluated. The obtained results are an important step to demonstrated the feasibility of farm-wide fatigue assessment with limited additional instrumentation.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 18
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