CORDIS Project
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This project aims to develop a deep learning algorithm to predict fuel spray characteristics and air/fuel mixture parameters for combustion engines using hydrogen-derived synthetic fuels. By leveraging extensive experimental data and computational fluid dynamics simulations, it seeks to facilitate the transition to car…
Current EU policies mandate the gradual disengagement of the transport sector from fossil fuels.
In order for such a transition to become a reality, hydrogen-derived carbon-neutral synthetic fuels produced using renewable energy sources (e-fuels), have overall less life-cycle CO2 footprint than their counterpart electric vehicles while they are suitable for use over the wide range of combustion engines.
However, today’s fuel spray experimental methods are compromised by the long time needed for…
CITY UNIVERSITY OF LONDON
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United States, Albuquerque
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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