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Article

A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis

1
Centre for Renewables and Energy, Dundalk Institute of Technology, Dublin Road, A91 V5XR Louth, Ireland
2
Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
3
School of Architecture & the Built Environment, University of Ulster, Belfast BT9 5AG, UK
*
Author to whom correspondence should be addressed.
Energies 2020, 13(8), 2086; https://doi.org/10.3390/en13082086
Received: 26 March 2020 / Revised: 11 April 2020 / Accepted: 17 April 2020 / Published: 21 April 2020
(This article belongs to the Special Issue Lifetime Extension of Wind Turbines and Wind Farms)
Ageing of technical systems and machines is a matter of fact. It therefore does not come as a surprise that an energy conversion system such as a wind turbine, which in particular operates under non-stationary conditions, is subjected to performance decline with age. The present study presents an analysis of the performance deterioration with age of a Vestas V52 wind turbine, installed in 2005 at the Dundalk Institute of Technology campus in Ireland. The wind turbine has operated from October 2005 to October 2018 with its original gearbox, that has subsequently been replaced in 2019. Therefore, a key point of the present study is that operation data spanning over thirteen years have been analysed for estimating how the performance degrades in time. To this end, one of the most innovative approaches for wind turbine performance control and monitoring has been employed: a multivariate Support Vector Regression with Gaussian Kernel, whose target is the power output of the wind turbine. Once the model has been trained with a reference data set, the performance degradation is assessed by studying how the residuals between model estimates and measurements evolve. Furthermore, a power curve analysis through the binning method has been performed to estimate the Annual Energy Production variations and suggests that the most convenient strategy for the test case wind turbine (running the gearbox until its end of life) has indeed been adopted. Summarizing, the main results of the present study are as follows: over a ten-year period, the performance of the wind turbine has declined of the order of 5%; the performance deterioration seems to be nonlinear as years pass by; after the gearbox replacement, a fraction of performance deterioration has been recovered, though not all because the rest of the turbine system has been operating for thirteen years from its original state. Finally, it should be noted that the estimate of performance decline is basically consistent with the few results available in the literature. View Full-Text
Keywords: wind energy; wind turbines; machines ageing, performance monitoring; multivariate regression; power curve, useful lifetime wind energy; wind turbines; machines ageing, performance monitoring; multivariate regression; power curve, useful lifetime
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MDPI and ACS Style

Byrne, R.; Astolfi, D.; Castellani, F.; Hewitt, N.J. A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis. Energies 2020, 13, 2086. https://doi.org/10.3390/en13082086

AMA Style

Byrne R, Astolfi D, Castellani F, Hewitt NJ. A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis. Energies. 2020; 13(8):2086. https://doi.org/10.3390/en13082086

Chicago/Turabian Style

Byrne, Raymond, Davide Astolfi, Francesco Castellani, and Neil J. Hewitt 2020. "A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis" Energies 13, no. 8: 2086. https://doi.org/10.3390/en13082086

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