Blade Defect Forecasting for the Wind Industry - BDF BDF

"The value creation is to combine wind turbine blade defect catalogue with long-term environmental data using Artificial Intelligence (AI) to establish forecasting tool for operational costs in the next repair season.

Scientific quality is based AI applied to BIG data from unique New European Wind Atlas data, UV and lightning data of hitherto not accessible quality and quantity.

The project is executed with focus to develop a tool providing wind turbine owners relevant site-specific insight on blade degradation.

The implementation support wind turbine owners to get blade issues under control, turn blade defects into scheduled maintenance and budget repairs into OPEX models."