SOURCE-LINKED INTELLIGENCE

Source Term Estimation and Consequence Analysis of Hydrogen Leakages in Hydrogen Related Industrial Processes and Community Facilities

CORDIS · observation · Publication date unknown

proposed project aims to establish long-term, international collaborations among researchers in the UK, Europe, China, and the USA. The consortium brings together experts in data and systems science, artificial intelligence (AI), computational fluid dynamics (CFD), hydrogen energy, and hydrogen safety. The project will involve cross-disciplinary and cross-sector research through structured researcher secondments and knowledge transfer activities. Novel AI-driven and data and system science-based methods will be developed to enable real-time STE and consequence analysis. Experimental and field studies will be conducted to validate these methods and demonstrate their practical relevance and industrial impact. The outcomes of this initiative are expected to overcome the limitations of existing technologies and offer scalable solutions for real-time hydrogen leakage analysis across a wide range of industrial and community applications Data and Systems Science, Artificial Intelligence, Hydrogen leakages, Source Term Estimation, Consequence Analysis

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recordType

award

status

SIGNED

region

EU

value

951900

unit

EUR