2019
DOI: 10.1016/j.fuel.2018.09.033
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Numerical study of steam methane reforming over a pre-heated Ni-based catalyst with detailed fluid dynamics

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Cited by 57 publications
(7 citation statements)
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“…For the stoichiometric methane to steam ratio, the conversion decreased with the temperature, with the increasing of time on stream. In another study, Pashchenko presented a computational fluid dynamics model of the methane steam reforming over pre-heated Ni-based catalyst, developed via ANSYS Fluent, for real computational domain of the reformer [66]. The results showed that each 100 mm of catalyst bed, the pressure drop was about 160 Pa, no significant gradient was present along the radial axis of the reformer, at the catalyst temperature of 1300 K the syngas composition approached to equilibrium.…”
Section: Kinetics and Simulationsmentioning
confidence: 99%
“…For the stoichiometric methane to steam ratio, the conversion decreased with the temperature, with the increasing of time on stream. In another study, Pashchenko presented a computational fluid dynamics model of the methane steam reforming over pre-heated Ni-based catalyst, developed via ANSYS Fluent, for real computational domain of the reformer [66]. The results showed that each 100 mm of catalyst bed, the pressure drop was about 160 Pa, no significant gradient was present along the radial axis of the reformer, at the catalyst temperature of 1300 K the syngas composition approached to equilibrium.…”
Section: Kinetics and Simulationsmentioning
confidence: 99%
“…Methane is considered to be a practical raw material for hydrogen production due to its high hydrogen molar fraction and great abundance, with a yearly global production of 1 189 000 Nm 3 16 . Thus, various techniques have been developed for this purpose for example, steam methane reforming (SMR), dry methane reforming (DR), and partial oxidation (POX) 17‐26 . SMR reaction is the commonly used method for the efficient and simple production of hydrogen 27‐29 .…”
Section: Introductionmentioning
confidence: 99%
“…A quadratic dependence of the pressure loss on velocity was observed in the experiments. Pashchenko 16 performed a numerical study of SMR with a pre‐heated Ni‐based catalyst. A 2D CFD model was developed in ANSYS Fluent to predict the reaction and transport phenomena in the reaction space of the reformer.…”
Section: Introductionmentioning
confidence: 99%
“…Pashchenko 16 also conducted studies that delineate the effect of calculated computational geometry on the CFD results of the SMR process. Furthermore, Pashchenko 17 explored the influence of geometric dimensionality of the computational domain by conducting numerical simulations with 2D planar, 2D axisymmetric, and 3D meshes.…”
Section: Introductionmentioning
confidence: 99%