Published December 2018 | Version v1
Journal article

Modelling of non-premixed turbulent combustion with Conditional Moment Closure (CMC)

  • 1. Ghent University, Department of Flow, Heat and Combustion Mechanics (Belgium)

Description

Conditional Moment Closure (CMC), an advanced turbulent reacting flow method, has been applied to the challenging cases with a varying degree of turbulence-chemistry interactions. The CMC approach may be used either in the RAMS or LES context, this is reviewed in the first part of this paper, while the second part is dedicated to applications on Sandia piloted jet flames D and F and lifted hydrogen jet flame. In case of the Sandia piloted jet flame D, the RANS-CMC simulation results are in agreement with the experimental data. On the other hand, when one comes to the results for the Sandia flame F, extinction is not captured. These discrepancies are attributed to the use of RANS in combination with the boundary conditions set in CMC. However, in case of turbulent lifted jet flame in vitiated co-flow, the LES-CMC model is able to capture the axial and radial profiles of mixture fraction, temperature and major species. The lift-off height is found to be very sensitive to the co-flow temperature as well as the co-flow velocity. The LES-CMC results highlight the potential of the technique to simulate the problems which involve complex turbulence-chemistry interactions. Graphical abstract:

.

Additional details

Identifiers

Publishing Information

Journal Title
European Physical Journal. H (Print)
Journal Volume
41
Journal Issue
12
Journal Page Range
p. 1-15
ISSN
2102-6459

INIS

Country of Publication
France
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54090117
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BOUNDARY CONDITIONS; CHEMISTRY; COMBUSTION; COMPUTERIZED SIMULATION; FLAMES; HYDROGEN; TURBULENCE
Descriptors DEC
CHEMICAL REACTIONS; ELEMENTS; NONMETALS; OXIDATION; SIMULATION; THERMOCHEMICAL PROCESSES

Optional Information

Copyright
Copyright (c) 2018 EDP Sciences, SIF, Springer-Verlag GmbH Germany, part of Springer Nature