SOURCE-LINKED INTELLIGENCE

Medium-range hybrid low-pollution flexi-fuel/hydrogen sustainable engine

CORDIS · observation · Publication date unknown

, the MYTHOS consor-tium develops and adopts a multidisciplinary multi-fidelity modelling approach for the characterization of the relevant engine components deploying the full power of the method of machine learning. The latter will lead through hidden-physics discovery to advance data-driven reduced models which will be embedded in a holistic tool for the prediction of the environmental footprint of the civil aviation of all speeds. A unique aspect of the project is the high-fidelity experimental validation of the numerical approaches. MYTHOS consortium through this approach will contribute to reduce time-to-market for engines designed and engi-neered to burn various types of environmentally friendly fuels, such as SAF, in the short and medium term, and hydrogen, in the long term. The proposed work responds to the needs and objectives of the HORIZON-CL5-2022-D5-01-12: Towards a silent and ultra-low local air pollution aircrafts Call as described in detail below. Flexi-fuel engine design methodology; chemical kinetics; high-performance numerical simulations; advanced numerical meth

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

3135144

unit

EUR