Simulation of Side Fired Steam-Hydrocarbon Reformers

Singh, Chandra Prakash; Saraf, Deoki N.

doi:10.1021/i260069a001

Cited by 88 publications

(45 citation statements)

References 9 publications

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“…Since 1968, various models have been developed for modeling fixed-bed reformer reactors: one-dimensional homogeneous model (Hyman, 1968;Singh and Saraf, 1979), one-dimensional heterogeneous model (Elnashaie et al, 1992;Xu and Froment, 1989), and two-dimensional heterogeneous model (Ferreira et al, 1992;Pedernera et al, 2003).…”

Section: Model Description and Solution Proceduresmentioning

confidence: 99%

Simulating and Optimizing Auto-Thermal Reforming of Methane to Synthesis Gas Using a Non-Dominated Sorting Genetic Algorithm II Method

Azarhoosh

Ebrahim

Pourtarah

2014

Chemical Engineering Communications

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Conventional synthesis gas production plants consist of a natural gas steam reforming to CO þ 3H 2 on Ni catalysts in a furnace. An alternative method for highly endothermic steam reforming is auto-thermal reforming. In this work, synthesis gas production by auto-thermal reforming was simulated based on a heterogeneous and one-dimensional model in two cases. The first case was the auto-thermal reformer of Dias and Assaf's study. The present work was validated by the reported experimental results. The second case was the fixed-bed catalytic auto-thermal reactor operated at high pressure, which was suitable for methanol production and Fischer-Tropsch reactions (baseline case). Then, the effect of operating variables on the system behavior was studied. Finally, Pareto-optimal solutions were determined by non-dominated sorting genetic algorithm II. The objectives included obtaining a H 2 =CO ratio of 2 in the produced synthesis gas and the maximum methane conversion. The adjustable parameters were the feed temperature, mass flux, and O 2 =CH 4 and H 2 O=CH 4 ratios in the feed.

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Section: Model Description and Solution Proceduresmentioning

confidence: 99%

Simulating and Optimizing Auto-Thermal Reforming of Methane to Synthesis Gas Using a Non-Dominated Sorting Genetic Algorithm II Method

Azarhoosh

Ebrahim

Pourtarah

2014

Chemical Engineering Communications

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“…We model this chemical process according to [29] and build the ODE system to describe the reaction according to [30]. For details on the setup, see Appendix A.…”

Section: Numerical Demonstration Of the Approachmentioning

confidence: 99%

Sequential Monte Carlo sampling in hidden Markov models of nonlinear dynamical systems

Zeng¹,

Anitescu²

2014

Applied Mathematics and Computation

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We investigate the issue of which state functionals can have their uncertainty estimated efficiently in dynamical systems with uncertainty. Because of the high dimensionality and complexity of the problem, sequential Monte Carlo (SMC) methods are used. We prove that the variance of the SMC method is bounded linearly in the number of time steps when the proposal distribution is truncated normal distribution. We also show that for a moderate large number of steps the error produced by approximation of dynamical systems linearly accumulates on the condition that the logarithm of the density function of noise is Lipschitz continuous. This finding is significant because the uncertainty in many dynamical systems, in particular, in chemical engineering systems that can be assumed to have this nature. We demonstrate our findings for a simple test case from chemical engineering. The theoretical findings provide a foundation for the parallel software SISTOS.

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“…One-dimensional homogeneous model (Davies and Lihou, 1971;Golebiowski and Walas, 1973;Hyman, 1968;Singh and Saraf, 1979). Although this model has agreed with some reformer plant data, it cannot demonstrate the complex phenomena in the reformer reactor because any reactor element is considered as a homogeneous phase and mass transfer limitation is not considered.…”

Section: Reformermentioning

confidence: 99%