Author
Listed:
- Rihab Mahmoud
(Institute of Energy and Power Plant Technology, Technical University of Darmstadt, 64287 Darmstadt, Germany
Laboratoire EM2C, CentraleSupélec, Université Paris-Saclay, 91190 Gif-sur-yvette, France)
- 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
Laboratoire de ModélisationMécanique, EnergétiqueetMatériaux, InstitutSupérieur des Sciences et Techniques Appliquées, Ndolo 6534 Kinshasa, Congo)
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.
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