As offshore wind turbines age, many blades are reaching their projected end of life—often leading to costly and premature replacements. This is primarily due to limited inspection capabilities and uncertainty in estimating the remaining useful life (RUL). The x-ProWind project, led by iSP, TU Delft in collaboration with SpectX, addresses this challenge by developing an integrated diagnostics–prognostics framework for wind turbine blades. By combining advanced digital X-ray inspection with novel prognostic models, the project enhances the reliability and robustness of RUL predictions through effective uncertainty quantification.

MODABAT is a research project funded by the European Union as part of the Clean Aviation Joint Undertaking (CAJU). It aims to develop and demonstrate a modular (hence scalable), technology open and safe BESS tailored for hybrid-electric propulsion of an Ultra-Efficient Regional Aircraft (UERA).

A European Doctoral Network, granted under the Horizon Europe MSCA programme, which trains the next generation of multidisciplinary researchers to develop intelligent systems supporting autonomous wind power plants (WPP) operations.

The ultimate vision of success of this program is that material producers and users are deploying higher fractions of recycled material without compromising on product quality. This is achieved by adjusting processing and manufacturing parameters, potentially in-line, based on data-enhanced physical materials modelling. These data-enhanced physical material models will be faster and more accurate than existing purely physical models, and they can quickly adapt to varying material compositions.