PDF simulation of turbulent non-premixed CH4/H2-air flames using automatically reduced chemical kinetics

Xiao, Kun; Schmidt, D.; Maas, Ulrich

doi:10.1016/s0082-0784(98)80508-0

Cited by 14 publications

(5 citation statements)

References 10 publications

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“…Xiao et al [252] have performed simulations of turbulent non-premixed CH 4 /H 2 /air flames, using a joint velocity composition PDF coupled to a finite-volume mean flow CFD program and with automatically reduced (by the ILDM method) detailed chemistry. The experimental setup is a non-premixed, bluff-body (50 mm diameter) flame.…”

Section: Velocity-composition Pdfmentioning

confidence: 99%

Impact of detailed chemistry and transport models on turbulent combustion simulations

Hilbert

Tap

El-Rabii

et al. 2004

Progress in Energy and Combustion Science

142

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Section: Velocity-composition Pdfmentioning

confidence: 99%

Impact of detailed chemistry and transport models on turbulent combustion simulations

Hilbert

Tap

El-Rabii

et al. 2004

Progress in Energy and Combustion Science

142

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“…The bluff-body creates a recirculation zone to substantially improve the flame stability over an extensively range of co-flow and jet conditions [8,25]. These flames have been used to validate different combustion models such as conditional moment closure (CMC) [26], probability density function (PDF) [27], and flamelet [28].…”

Section: Test Flamesmentioning

confidence: 99%

Prediction of Pollutant Emissions from Bluff-Body Stabilised Nonpremixed Flames

Munteanu

Amzaini

2018

Journal of Combustion

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Construction of a stable flame is one of the critical design requirements in developing practical combustion systems. Flames stabilised by a bluff-body are extensively used in certain types of combustors. The design promotes mixing of cold reactants and hot products on the flame surface to improve the flame stability. In this study, bluff-body stabilised methane-hydrogen flames are computed using the steady laminar flamelet combustion method in conjunction with the Reynolds-averaged Navier-Stokes (RANS) approach. These flames are known as Sandia jet flames and have different jet mean velocities. The turbulence is modelled using the standard k-ϵ model and the chemical kinetics are modelled using the GRI-mechanism with 325 chemical reactions and 53 species. The computed mean reactive scalars of interest are compared with the experimental measurements at different axial locations in the flame. The computed values are in reasonably good agreement with the experimental data. Although some underpredictions are observed mainly for NO and CO at downstream locations in the flame, these results are consistent with earlier reported studies using more complex combustion models. The reason for these discrepancies is that the flamelet model is not adequate to capture the finite-rate chemistry effects and shear turbulence specifically, for species with a slow time scale such as nitrogen oxides.

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“…Our algorithm is similar in motivation but considerably different in execution from the ISAT/ILDM algorithms of Pope, Maas, and co-workers , and the PRISM algorithm of Frenklach, Brown, and co-workers . Most basically, our chemistry models are systems of differential equations, whereas those authors use algebraic fits.…”

Section: Adaptive Chemistry For Reacting Flow Simulationsmentioning

confidence: 99%

Computer Construction of Detailed Chemical Kinetic Models for Gas-Phase Reactors

Green¹,

Barton²,

Bhattacharjee³

et al. 2001

Ind. Eng. Chem. Res.

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The combustion, oxidation, and pyrolysis chemistry of even simple light hydrocarbons can be extremely complex, involving hundreds or thousands of kinetically significant species. Even relatively minor species can play an important role in the formation of undesirable emissions and byproducts, and their properties and reactions need to be modeled in some detail in order to make accurate predictions. In many technologically important applications, the reaction chemistry is closely coupled with the mixing and heat flow, dramatically increasing the computational difficulty. The most reasonable way to deal with this complexity is to use a computer not only to solve the simulation numerically, but also to construct the model in the first place. We are developing the methods needed to make this sort of computer-aided kinetic modeling feasible for real systems. The computer is used to calculate most of the molecular properties and rate parameters in the model by a variety of quantum- and group-additivity-based techniques. We summarize our new computer methods for modeling the pressure dependence (falloff and chemical activation) of gas-phase reactions. Our approach to determining the optimal reduced kinetic models for various reaction conditions is discussed. Adaptive-chemistry methods that allow one to solve detailed macroscopic reacting flow simulations involving hundreds of species are outlined.

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PDF simulation of turbulent non-premixed CH4/H2-air flames using automatically reduced chemical kinetics

Cited by 14 publications

References 10 publications

Impact of detailed chemistry and transport models on turbulent combustion simulations

Impact of detailed chemistry and transport models on turbulent combustion simulations

Prediction of Pollutant Emissions from Bluff-Body Stabilised Nonpremixed Flames

Computer Construction of Detailed Chemical Kinetic Models for Gas-Phase Reactors

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