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The CLEAN-Gas Innovative Training Network
CLEAN-Gas is a “European Joint Doctorate” programme for highly motivated young scientists, where state-of-the-art research is combined with a comprehensive training programme.
The CLEAN-Gas Consortium
The network, coordinated by Politecnico di Milano, consists of 4 academic partner institutions and 4 industrial partners from 4 different countries in Europe.
Host Institution: Centrale Supélec (France)
Laboratoire EM2C, CentraleSupelec, Chatenay-Malabry, France
Phone: +33 141 13 10 53
My research is focused on turbulent combustion modeling for Large eddy simulation. This technique describes the flow dynamics needed to predict combustion instabilities in furnaces or gas turbines. It also provides a better flow description in term of turbulence and prediction of pollutant formation and radiative heat transfer at the resolved scale. In particular I am working on the extension of a parallel solver for laminar and turbulent compressible flow.
My intent is to develop LES dynamics model to non-premixed and partially premixed combustion as well as the incorporation of complex chemistry features, comparing various strategies (chemistry tabulation, reduced chemical schemes, skeletal schemes…). The expected results of the research are to access the feasibility and the requirement of dynamic combustion models for non perfectly premixed turbulent flames and when a large range of chemical time scales is involved in view to predict pollutant emissions such as CO or NOx without setting ad hoc model parameters.
Project title: Development of dynamic LES models including complex chemistry features
Objectives. Large eddy simulation (LES), where largest turbulent motions are explicitly computed while only the effects of the smallest ones are modeled, is a powerful tool to describe turbulent combustion. First, this technique gives access to the flow dynamics, needed to predict combustion instabilities in furnaces or gas turbines. It also provides a better flow description as fresh and burnt gas zones, behaving differently in terms of turbulence, pollutant formation or radiative heat transfer, are identified at the resolved scale level. Dynamic formalisms, where sub-grid scale model parameters are automatically adjusted from the knowledge of the resolved flow field are very attractive, as they do not need parameter setting case-by-case anymore. These parameters may also evolve both in time and space according to the flow conditions.
This formalism was primarily developed to describe flame wrinkling factors in perfectly premixed combustion and fast, single step or tabulated chemistries, under flamelet assumptions. They were found very successful, with a moderate extra computational cost. The objective of this work is to extend dynamic models to non-premixed and partially premixed combustion regimes and to investigate the inclusion of complex chemistry features, required, for example, to predict pollutant emissions. Note that, because of the large range of chemical time scales from fuel oxidation to nitric oxide formation, reaction rate model parameters might depend on the chemical species considered.