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Artificial Intelligence for optimisation of Fuel Injection Equipment suitable for carbon-neutral synthetic fuels

Project description

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.

Coordinator

CITY UNIVERSITY OF LONDON
Net EU contribution
€ 271 732,80
Address
Northampton Square
EC1V 0HB London
United Kingdom

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Region
London Inner London — East Haringey and Islington
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00

Partners (1)

Partner

Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.

Sandia Corporation
United States
Net EU contribution
€ 0,00
Address
Eubank Southeast 1515
87185 1382 Albuquerque

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 165 265,92