MANTEIA - Early fault detection methodologies, applied to a thermal storage system, based on Artificial Intelligence techniques
MEDITECH Call No. 3 - Funded by the European Union - Next Generation EU Fund (PNRR) - M4C2 I2.3
CUP I83D24000130005
Beneficiaries: Magaldi Power Spa
Project duration: 06/05/2024 -05/05/2025
The MANTEIA project - Early fault detection methodologies, applied to a thermal storage system, based on artificial intelligence techniques - aims to study appropriate predictive control techniques for the development of 'early fault detection' software to be applied to the MGTES fluidized bed thermal storage technology. The MGTES technology, patented by Magaldi, allows energy produced by renewable sources to be stored and dispatched on demand for the production of green steam, thus supporting the decarbonization of energy-intensive industries.
The MANTEIA project, completed in May 2025, was carried out in collaboration with Meditech – Competence Center, the Federico II University (DICMAPI Department), the University of Benevento and the Institute of STEMS-CNR of Naples.
The MANTEIA project has contributed to strengthening the reliability and maturity level of MGTES technology. The results achieved provide a solid foundation for future developments in smart diagnostics and innovative energy storage solutions.
