Numerical Investigation of an OxyfuelNon-Premixed CombustionUsing a Hybrid Eulerian Stochastic Field/Flamelet Progress Variable Approach: Effects of H 2 /CO 2 Enrichment and Reynolds Number

Rihab Mahmoud, Mehdi Jangi, Benoit Fiorina, Michael Pfitzner and Amsini Sadiki
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Rihab Mahmoud: Institute of Energy and Power Plant Technology, Technical University of Darmstadt, 64287 Darmstadt, Germany
Mehdi Jangi: Department of Mechanical Engineering, University of Birmingham, Birmingham B15 2TT, UK
Benoit Fiorina: Laboratoire EM2C, CentraleSupélec, Université Paris-Saclay, 91190 Gif-sur-yvette, France
Michael Pfitzner: InstitutfürThermodynamik, FakultätfürLuft- und Raumfahrttechnik, 85577 Neubiberg, Germany
Amsini Sadiki: Institute of Energy and Power Plant Technology, Technical University of Darmstadt, 64287 Darmstadt, Germany

Energies, 2018, vol. 11, issue 11, 1-21

Abstract: In the present paper, the behaviour of an oxy-fuel non-premixed jet flame is numerically investigated by using a novel approach which combines a transported joint scalar probability density function (T-PDF) following the Eulerian Stochastic Field methodology (ESF) and a Flamelet Progress Variable (FPV) turbulent combustion model under consideration of detailed chemical reaction mechanism. This hybrid ESF/FPV approach overcomes the limitations of the presumed- probability density function (P-PDF) based FPV modelling along with the solving of associated additional modelled transport equations while rendering the T-PDF computationally less demanding. In Reynolds Averaged Navier-Stokes (RANS) context, the suggested approach is first validated by assessing its general prediction capability in reproducing the flame and flow properties of a simple piloted jet flame configuration known as Sandia Flame D. Second, its feasibility in capturing CO 2 addition effect on the flame behaviour is demonstrated while studying a non-premixed oxy-flame configuration. This consists of an oxy-methane flame characterized by a high CO 2 amount in the oxidizer and a significant content of H 2 in the fuel stream, making it challenging for combustion modelling. Comparisons of numerical results with experimental data show that the complete model reproduces the major properties of the flame cases investigated and allows achieving the best agreement for the temperature and different species mass fractions once compared to the classical presumed PDF approach.

Keywords: diffusion flames; oxyfuel combustion; transported PDF; eulerian stochastic field method; FPV approach; RANS; OpenFOAM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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