Flow, Turbulence and Combustion

, Volume 93, Issue 4, pp 665–687

Numerical Simulations of the Sandia Flame D Using the Eddy Dissipation Concept

  • Dmitry A. Lysenko
  • Ivar S. Ertesvåg
  • Kjell Erik Rian
Article

Abstract

A turbulent piloted methane/air diffusion flame (Sandia Flame D) is calculated using both compressible Reynolds-averaged and large-eddy simulations (RAS and LES, respectively). The Eddy Dissipation Concept (EDC) is used for the turbulence-chemistry interaction, which assumes that molecular mixing and the subsequent combustion occur in the fine structures (smaller dissipative eddies, which are close to the Kolmogorov length scales). Assuming the full turbulence energy cascade, the characteristic length and velocity scales of the fine structures are evaluated using a standard k- 𝜖 turbulence model for RAS and a one-equation eddy-viscosity sub-grid scale model for LES. Finite-rate chemical kinetics are taken into account by treating the fine structures as constant pressure and adiabatic homogeneous reactors (calculated as a system of ordinary-differential equations (ODEs)) described by a Perfectly Stirred Reactor (PSR) concept. A robust implicit Runge-Kutta method (RADAU5) is used for integrating stiff ODEs to evaluate reaction rates. The radiation heat transfer is treated by the P1-approximation. The assumed β-PDF approach is applied to assess the influence of modeling of the turbulence-chemistry interaction. Numerical results are compared with available experimental data. In general, there is good agreement between present simulations and measurements both for RAS and LES, which gives a good indication on the adequacy and accuracy of the method and its further application for turbulent combustion simulations.

Keywords

Reynolds-averaged simulations Large-eddy simulation Eddy dissipation concept RADAU5 Sandia flame D Perfectly stirred reactor OpenFOAM 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Dmitry A. Lysenko
    • 1
  • Ivar S. Ertesvåg
    • 1
  • Kjell Erik Rian
    • 2
  1. 1.Department of Energy and Process EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Computational Industry Technologies ASTrondheimNorway

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