AI for hydrogen-derived carbon-neutral synthetic fuels
EU policies envisage the transition of the transport sector from fossil fuels to clean energy. Hydrogen derived carbon-neutral synthetic fuels produced using renewable energy sources present less life-cycle CO2 footprint than electric vehicles and are suitable for combustion engines. However, existing fuel spray experimental methods prevent the wide use of e-fuels. The EU-funded AI-FIE project is a Marie Skłodowska-Curie Actions fellowship aiming to develop a data-driven, deep learning and AI algorithm to predict the spatially and temporally resolved spray structure and critical parameters for engine design. The innovative project will base training on the most extensive publicly available experimental database for fuel sprays of the Engine Combustion Network.
Fields of science
- engineering and technologyenvironmental engineeringenergy and fuelsliquid fuels
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologyenvironmental engineeringenergy and fuelssynthetic fuels
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Funding SchemeMSCA-IF-GF - Global Fellowships
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
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