Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO283: Evolutionary methodology for the lifetime-extension and repowering of wind turbine components
Arkaitz Lopez Jauregui, Research Engineer, Laulagun Bearings
Abstract
The useful life of a high proportion of existing wind farms in Europe will finish at the end of this decade (2020-2030). Faced with this situation and driven by the high decommissioning costs and the inability to recycle many of the components, the sector is betting on extending the useful life and repowering existing machines. This trend represents a significant challenge, since it forces the sector to combine used components with new components in existing machines, all with both technical and safety guarantees. To this end, it is essential to determine the structural reliability of the most critical components, not only at the end of their useful life, but throughout the entire period of operation, to plan maintenance and/or replacement operations. In this sense, it has been detected that there is no proven methodology, nor sufficient knowledge to develop it, to considers the evolutionary degradation of wind components within working turbines. So, today, predicting the level of degradation of wind components in operation, the impact of this degradation on their behaviour, the behaviour of the rest of the components and therefore on the turbine is still a big challenge to overcome. Given this perspective, Basque Government financed MEEVCE project faces as main objective generating the knowledge necessary to obtain an evolutionary lifetime prediction methodology.
