Dissemination

The H2-DurabilitAI project aims to produce concrete and reusable results, both scientifically and technologically, with a strong territorial impact.

The main expected outcomes are:

• A rich and open experimental database: Collection and structuring of a large volume of high-resolution videos synchronized with operating conditions (current density, flow rates, temperature, pressure, topologies). This database will constitute a valuable resource for the international scientific community working on two-phase phenomena in PEMWE electrolyzers.
• An advanced artificial intelligence tool: Development of a high-performance AI pipeline for multi-class bubble detection (bubbly, slug, stagnated), generation of non-uniformity heat maps, and computation of dynamic indicators (residence time, coverage rate, etc.). The model and source code will be made available as open source on GitHub to promote reproducibility and collaborative innovation.
• Scientific and technological advances: Publication of results in a Category A scientific journal, including a comparative analysis of bubble regimes and component optimization recommendations (flow channels, porous transport layer, MEA assembly). This work will significantly improve the performance and durability of PEM electrolyzers.
• Strengthening of local expertise and international outreach: Development of computer vision expertise applied to hydrogen within ENERGY-Lab, strengthening of the partnership with Fraunhofer ISE, and preparation of a consortium for Horizon Europe projects.

Through these deliverables, the H2-DurabilitAI project will contribute to reducing green hydrogen production costs and to the energy resilience of island territories, concretely supporting the ecological transition of La Réunion.