Menu
MapConnectionsTopicsBulgariaThe Night (K-TRIO)Marie Skłodowska-CurieFor studentsFor teachersMethodologySurprise me
HEDoctoral network2023–2026

ENCODING · ENabling sustainable COmbustion technologies using hybrid physics-based Data-driven modelING

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2023-01-01 → 2026-12-31
EU contribution
€2,645,172
Participants
17
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners.

Results in brief

ENabling sustainable COmbustion technologies using hybrid physics-based Data-driven modelING

The global transition towards carbon neutrality by 2050 necessitates innovative solutions for decarbonising energy-intensive industries (EIIs). The ENCODING project (Enabling Sustainable Combustion Technologies using Hybrid Physics-Based, Data-Driven Modelling) addresses this challenge by developing cutting-edge technologies to facilitate the adoption of Renewable Synthetic Fuels (RSFs) in industrial applications. The ENCODING project is founded on interdisciplinary research in combustion science, fluid dynamics, and machine learning, aiming to create a robust digital combustion infrastructure that ensures stable, efficient, and low-emission industrial energy conversion. ENCODING addresses these challenges by training ten Doctoral Candidates (DCs) to become future leaders in sustainable combustion technologies. These researchers focus on experimental methodologies and computation essential for advancing RSF-based combustion systems. By integrating fundamental combustion science with digital modelling, ENCODING aims to: 1. Develop predictive tools capable of assessing the impact of RSFs on combustion processes in large-scale industrial furnaces. 2. Ensure stable combustion with near-zero emissions through advanced hybrid modelling techniques. 3. Enhance the overall efficiency of industrial heat generation while reducing environmental footprints. The project's unique approach integrates physics-based and machine learning-driven models to optimise fuel-flexible combustion systems, providing industry stakeholders with reliable, computationally efficient solutions to navigate the transition to sustainable energy sources.

Data: CORDIS, © European Union

Project objective

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).

Original text from CORDIS.

Participants

  • UNIVERSITE LIBRE DE BRUXELLES · Bruxelles / BrusselCoordinatorBelgium
  • AGC GLASS EUROPE SA · Louvain-La-NeuveBelgium
  • AIR LIQUIDE ADVANCED TECHNOLOGIES SA · ParisFrance
  • ARCELORMITTAL MAIZIERES RESEARCH · SAINT DENISFrance
  • CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS · ParisFrance
  • CFD Direct Limited · ReadingUnited Kingdom
  • COMMUNAUTE UNIVERSITES ET ETABLISSEMENTS NORMANDIE UNIVERSITE · CAENFrance
  • CONSIGLIO NAZIONALE DELLE RICERCHE · RomaItaly
  • Convergent Science GmbH · LinzAustria
  • LAVISION GMBH · GoettingenGermany
  • MITIS · HannutBelgium
  • NUOVO PIGNONE SRL · FirenzeItaly
  • RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN · AachenGermany
  • TENOVA SPA · MilanoItaly
  • UNIVERSIDAD POLITECNICA DE MADRID · MadridSpain
  • UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II · NapoliItaly
  • WARMEPROZESSTECHNIK GMBH · RenningenGermany

Links

Data: CORDIS, © European Union