Objective
Natural Gas (NG) will be one of the key parameters of the EU energy policy for the next decades. EU gas imports are expected to reach over 80% of total consumption by 2030. Thus, the EU is investing heavily in natural gas equipment.
Natural gas combustion has two side effects: the production of greenhouse gases and the emission of pollutants. Conventional techniques used to reduce these emissions are post-combustion treatments. Another solution is to act directly on the combustion process, limiting the pollutant formation, while maximizing the efficiency. New processes are using this strategy: regenerative burners, flameless combustion, combustion of highly diluted mixtures or oxy-combustion.
These technologies are still poorly understood. It is therefore important to develop studies on these new combustion processes, whose development needs real technological breakthroughs.
Reaching these goals requires to investigate the involved phenomena and detailed experiments and modelling of the kinetics and fluidynamics of the combustion processes are of paramount importance.
The CLEAN-Gas EJD Programme proposes high-level training for doctoral candidates with the following main objectives:
– developing and sharing innovative experimental diagnostic techniques;
– creating and validating detailed chemistry mechanisms of the combustion process;
– proposing new turbulent combustion models;
– enhancing high performance computing;
– encouraging team work and project oriented approach;
– proposing innovative applications, processes and technologies for NG combustion;
– participating in the European energy policy.
All students will receive a high-level training in the aforementioned domains through their PhD work with a multi-disciplinary vision and a key training for developing professional skills. The PhD candidates will be able to understand and respond to most of the key issues of the natural gas use in the European context.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energynatural gas
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamicscomputational fluid dynamics
- natural scienceschemical sciencesorganic chemistryaliphatic compounds
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
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Programme(s)
Funding Scheme
MSCA-ITN-EJD - European Joint DoctoratesCoordinator
20133 Milano
Italy