Development and validation of a dynamic predictive risk model for the use of hydrogen as an energy carrier

The activities cover the acquisition and statistical elaboration of data regarding the technologies of production, transport, and utilization of hydrogen and associated accidents, the execution of laboratory-scale experimental tests, and the development of dynamic approaches and machine learning (ML) techniques forassessing the risks associated with the use of hydrogen as an energy carrier. Furthermore, activities will involve the elaboration of data collected in collaboration with the University of Messina and other partners of the research project, with the aim of developing a dynamic risk assessment approach, and modeling of accidentscenarios.