A CFD model of autothermal reforming

Shi, Liming; Bayless, David J.; Prudich, M.E.

doi:10.1016/j.ijhydene.2009.07.039

Cited by 27 publications

(33 citation statements)

References 24 publications

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“…CFD codes have also been used to model homogeneous and heterogeneous reactions by several authors [18][19][20][21][22][23][24]. For example, Dixon et al [21] studied diffusion and reaction for the endothermic methane steam reforming in a fixed bed reactor.…”

Section: Introductionmentioning

confidence: 99%

Comparison of CFD results and experimental data in a fixed bed Fischer–Tropsch synthesis reactor

Miroliaei

Shahraki

Atashi

et al. 2012

Journal of Industrial and Engineering Chemistry

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Section: Introductionmentioning

confidence: 99%

Comparison of CFD results and experimental data in a fixed bed Fischer–Tropsch synthesis reactor

Miroliaei

Shahraki

Atashi

et al. 2012

Journal of Industrial and Engineering Chemistry

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“…Therefore due to attaining this goal small-scale SMR technologies should be modeled and optimized [3][4][5][6][7]. Monolith catalysts can be widely used in many applications particularly for their high geometric surface area, low pressure drop and good mechanical strength and durability [8].…”

Section: Introductionmentioning

confidence: 99%

“…In the first approach, the diffusion into the thin catalytic layers (washcoat) in modeling of monolithic reactors is neglected and the reactions are assumed to take place at the surface of the washcoat. Case studies for this approach include steam Methane reforming (SMR) [14], steam reforming of methanol [15][16][17], ethanol steam reforming [18] and autothermal reforming of n-hexadecane [19]. Hartmann et al [20,21] studied Hydrogen production by catalytic partial oxidation of iso-octane at varying flow rate and fuel/oxygen ratio.…”

Section: Introductionmentioning

confidence: 99%

Resolving a Challenge in the Modeling of Hydrogen Production Using Steam Reforming of Methane in Monolith Reactors Using CFD Methods

Irani¹

2012

AMPC

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Reaction modeling of SMR (Steam Methane Reforming) process inside monolith reactors using two approaches were investigated and compared with each other. In the first approach, the reactions were assumed to take place exactly on the wall surfaces, while in the second approach they considered inside a thin thickness near the walls. Experiments of SMR were carried out in a lab-scale monolith reactor. A single-channel was considered and CFD model were developed for each of aforementioned approaches. Comparisons between modeling results and experimental data showed that the first approach (surface model) gives better results. Performing reactions are difficult and expensive, CFD simulations are considered as numerical experiments in many cases. It was concluded that obtained results from CFD analysis gives precise guidelines for further studies on optimization of SMR monolithic reactor performance.

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“…These models are highly time-consuming and essentially depend on the size of the kinetic mechanism. For the reforming application (O/C ~ 1), recent CFDkinetics models have been developed to study partial oxidation, steam or autothermal reforming of methane [1][2][3][4] , autothermal reforming of biogas 5 or hexadecane 6 with very simple kinetic mechanism. CFD-kinetics models have been also developed for different reforming reactors: solid oxide fuel cell (SOFC) 7 , membrane reformer 8 , fluidized bed reactor 9 or microreactor 2,4 .…”

Section: Introductionmentioning

confidence: 99%

2D Axisymmetric Coupled Computational Fluid Dynamics–Kinetics Modeling of a Nonthermal Arc Plasma Torch for Diesel Fuel Reforming

2011

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The present study is dedicated to the coupled CFD-kinetics 2D axisymmetric modeling of plasma-assisted diesel fuel reformer developed for two different applications: (i) onboard H 2 production for fuel cell feeding and (ii) NO x trap regeneration. These cases correspond to very different reacting conditions. In the first case, diesel fuel reacts with air while in the second case it reacts with diesel engine exhaust gas. The plasma is modeled with a simple power source domain. n-heptane has been chosen as a surrogate molecule for diesel fuel. A reduced kinetic mechanism is used for the study. Both cases have been studied under adiabatic and nonadiabatic postreactor conditions. We can distinguish four zones in the torch: a reactant heating zone, a plasma zone, a mixing zone and a postdischarge zone. The main precursors of the reforming reactions are H, O and OH radicals. The oxygen rate is a key point of the application. The thermal losses make the reforming reaction difficult to ignite and beget a lower syngas production and a lower postdischarge temperature. For the nonadiabatic reactor, the results have been compared to experimental data. The model predicts relevant gas fractions.2

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A CFD model of autothermal reforming

Cited by 27 publications

References 24 publications

Comparison of CFD results and experimental data in a fixed bed Fischer–Tropsch synthesis reactor

Comparison of CFD results and experimental data in a fixed bed Fischer–Tropsch synthesis reactor

Resolving a Challenge in the Modeling of Hydrogen Production Using Steam Reforming of Methane in Monolith Reactors Using CFD Methods

2D Axisymmetric Coupled Computational Fluid Dynamics–Kinetics Modeling of a Nonthermal Arc Plasma Torch for Diesel Fuel Reforming

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