Descrizione del progetto
Incoraggiare l’adozione di un carburante alternativo per accelerare la transizione verso un’energia pulita
L’idrogeno può essere impiegato come carburante per l’industria, la generazione di energia, il calore e i trasporti. Tuttavia, le attuali infrastrutture non sono pronte per gestire in sicurezza i carburanti sintetici a base di idrogeno e di energie rinnovabili. Finanziato dal programma di azioni Marie Skłodowska-Curie, il progetto ENCODING si propone di agevolare la transizione verso l’uso di carburanti alternativi, contribuendo alla decarbonizzazione di settori ad alta intensità energetica. A tal fine, istituirà una rete per la formazione di dieci dottorandi nel campo dei carburanti sostenibili, delle tecniche sperimentali per lo studio di flussi turbolenti di reazione, nonché dell’analisi dei megadati e dell’apprendimento automatico. L’attenzione sarà rivolta allo sviluppo di un’infrastruttura digitale ibrida per affrontare meglio le questioni attuali e future relative all’uso dei carburanti a idrogeno e sintetici nei settori ad alta intensità energetica.
Obiettivo
At the 26th UN Climate Change Conference of the Parties (COP26), the reached consensus points for the need of an energy revolution, in which hydrogen will play a key role, especially in Energy Intensive Industries (EIIs) for which electrification is more challenging.
Still, current infrastructures are not ready to adopt hydrogen and other Renewable Synthetic Fuels (RSFs) in an efficient, safe, and sustainable way.
ENCODING holds the promise to smooth the transition towards RSFs use, thereby helping decarbonise EIIs. To do so, ENCODING main objective is to train the next generation of digital combustion experts, by offering them an innovative training programme. The 10 doctoral candidates will gain multidisciplinary know-how in sustainable fuels, experimental techniques and numerical simulations of turbulent reacting flows, big data analytics and machine learning, and intersectoral experience (academic and industrial relevant training). Together, they will be able to create knowledge to develop a generalised hybrid ML-based digital infrastructure, with the capability to solve current and future outstanding questions to decarbonise EIIs.
The unique training is only possible thanks to the participation of renowned academic institutions with partners specialized in combustion experiments and simulation (ULB, RWTH, CNRS, CNR), data analysis and dimensionality reduction (UPM, ULB), data-driven and ML-based modelling (ULB, RWTH, CNRS) and different companies in the whole chain of knowledge: sustainable fuels (Air Liquid), combustion systems (MITIS, NPT), fuel flexible burners (WS, TENOVA), pollutant remediation strategies (AGC, AMMR) and CFD software (CONVERGE, CFD Direct).
Campo scientifico
- natural sciencescomputer and information sciencesdata sciencebig data
- social sciencespolitical sciencespolitical transitionsrevolutions
- engineering and technologyenvironmental engineeringenergy and fuelssynthetic fuels
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinatore
1050 Bruxelles / Brussel
Belgio