Objective
To achieve the goals of the European Green Deal on climate neutrality, a 90% reduction in transport emissions is needed by 2050. The automotive industry urgently needs to accelerate the introduction of alternative powertrains for electrified vehicles. Hydrogen-powered Proton Exchange Membrane Fuel Cells (PEMFCs) are carbon-free power devices that meet these goals in both mobile and stationary applications. BLESSED aims at revolutionising the design process of next generation PEMFCs, to improve efficiency, durability and affordability for widespread use, with direct implications in clean energy and sustainable industry/mobility. BLESSED will train 15 Doctoral Candidates (DCs) to solve Multi-Scale (MS) engineering challenges, from the electrons up to the device level, through a unique combination of multi-disciplinary computational methods with Machine Learning (ML) to bridge each length scale’s highly accurate model to adjacent scales. Then, a top-down length scale approach will be followed to optimise PEMFC and its components. To this end, the 15 DCs will synergistically develop a unique MS computational framework for the all-scale PEMFC analysis/design, assisted by ML tools. This will allow the simultaneous consideration of complex physico-chemical phenomena occurring at all length scales, such as catalytically-assisted chemical reactions, contact of rough surfaces, mechanical/chemical degradation of membranes, fluid flows in porous media etc., at affordable computational cost. The proposed ID-network brings together world-class academic expertise on numerical modelling and simulation in electrochemistry, reacting flows, fluid mechanics, materials, optimisation methods and ML, with industrial developers. With a strong focus on industrial applications, BLESSED will develop methodologies and tools to exceed state-of-the-art in PEMFCs by minimising the Platinum group metal content and corrosion while maximising mass transport and electrical conductivity.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical scienceselectrochemistry
- natural scienceschemical sciencesinorganic chemistrytransition metals
- natural sciencescomputer and information sciencescomputational science
- social scienceseconomics and businesseconomicssustainable economy
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
1140 Bruxelles / Brussel
Belgium
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Participants (16)
157 72 ATHINA
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69469 Weinheim
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2700 Wiener Neustadt
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
185 31 PIRAEUS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6534 Thuin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20018 Donostia San Sebastian
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
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79098 Freiburg
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11000 Belgrade
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74100 Rethimno
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75794 Paris
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34136 Trieste
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1040 Wien
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1000 Ljubljana
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8020 Graz
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4232 HAGENBERG
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Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
435 35 Mölnlycke
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
11001 Belgrade
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1348 Louvain La Neuve
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
RG12 2XB Bracknell Berkshire
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
570 01 Θεσσαλονικη
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
80025 Amiens
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
SW7 2AZ LONDON
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