The main objective of this project is to generate the necessary knowledge to obtain an evolutionary methodology for extending the useful life of wind power components in actual operating conditions.
1Generating advanced models to predict post-manufacturing conditions, the level of degradation during operation and the behaviour associated with such degradation in wind components and the global system (turbine).
2Devising, developing, designing and operating procedures or reduced-scale test benches, to reproduce degradation mechanisms that occur in actual conditions and validate advanced prediction models in a controlled and economically viable way.
3Developing a methodology to generate digital twins of wind turbine components, considering: (i) post-fabrication conditions at the start of their life; (ii) level of degradation; and (iii) the behaviour associated with such level of degradation during their life.
4Obtaining a holistic multi-component model that includes degradation impact on a turbine in an evolutionary way. This will allow a better understanding of the interactions between components, and the impact of their degradation on the behaviour of the wing turbine and the rest of the components.