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This call aims to develop solutions to increase the reliability of wind energy systems and their components, ensuring security of supply and reducing environmental impacts. Projects should focus on developing new methods, computational techniques, and tools to analyze and predict system reliability, including failure mode analysis and new analytical approaches. Proposals should also develop methods and tools for condition and health monitoring, optimize operation and maintenance through improved scheduling and predictive maintenance, and develop innovative digital tools for facilitating wind farm operation and maintenance.
Projects are expected to reduce downtime and operational costs, enhance safety protocols for maintenance crews, and increase the overall lifespan and efficiency of wind energy assets. Integration of artificial intelligence and machine learning for real-time data analysis and decision-making processes is encouraged. The solutions should be easily standardised and take into account current standardisation efforts.
Opening Date: 16 September 2025
Deadline: 17 February 2026
Data provided by Sciencebusiness.net
This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.
Expected Outcome
- Limited risks related to wind energy systems, reducing project uncertainties.
- Strengthened strategic autonomy and competitiveness of the wind energy supply chain.
Scope
- Develop and validate solutions to increase reliability of wind energy systems.
- Develop new methods and tools for analyzing and predicting reliability.
- Develop methods for condition and health monitoring of systems and components.
- Optimize operation and maintenance through improved scheduling and predictive maintenance.
- Develop innovative digital tools for wind farm operation and maintenance.