Digital-Twins for Hydrogen and Ammonia injection and ignition in engines for Transport Systems

Objective

DT-HATS focuses on the decarbonization of the heavy-duty transport sector – which is currently responsible for over 30% of the sector CO2 emissions – by exploiting the combination of green hydrogen and ammonia with their technical and economic potentials. The project will offer a systematic training to the recruited doctoral candidates who will produce new knowledge in ammonia and hydrogen flow and reacting processes realized in powertrains used for transport and efficient utilization in the H2 ecosystems. The overall aim is to: research H2 and NH₃ as fuels from a fundamental level to build a detailed database; develop new validated CFD models specific for H2 and NH₃, enhanced with ML for faster, predictive design; create reduced-order models based on multi-fidelity CFD-ML data and experiments for efficient exploration of H2 and NH₃ ecosystems, from component level like injectors to system level like engines, to aid decarbonization in transport sectors. Ultimately, DT-HATS through its research and training programs at the intersection of energy engineering and computational science will strength digital skills and expertise of young scientists and entrepreneurs to tackle present and future challenges and will also promote green e-fuels adoption in transport, boosting renewable energy growth.