Modeling and analysis of autothermal reforming of methane to hydrogen in a fixed bed reformer

Halabi, Marwan; Croon, M.H.J.M. de; Schaaf, J. van der; Cobden, P.D.; Schouten, J.C.

doi:10.1016/j.cej.2007.05.019

Cited by 169 publications

(99 citation statements)

References 37 publications

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“…The rst expression calculates the exchange current densities according to equations (21) and (22). Then the activation losses both from the tafel equation (19) and the linear approximation (20) are calculated. The results are merged to a function that is valid for all currents using the spliceFunction function.…”

Section: Methodsmentioning

confidence: 99%

Dynamic modeling of a solid oxide fuel cell system in Modelica

Andersson¹,

Åberg²,

Eborn³

et al. 2011

Linköping Electronic Conference Proceedings

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In this study a dynamic model of a solid oxide fuel cell system has been developed. The work has been conducted in cooperation with Modelon AB using the Modelica language and the Dymola modeling and simulation tool. Modelica is an equation based, object oriented modeling language, which promotes exibility and reuse of code. The objective of the study is to investigate the suitability of the Modelica language for dynamic fuel cell modeling. A cell electrolyte model including ohmic, activation and concentration irreversibilities is implemented and validated against simulations and experimental data presented in the open literature. A 1D solid oxide fuel cell model is created by integrating the electrolyte model and a 1D fuel ow model, which includes dynamic internal steam reforming of methane and water-gas shift reactions. Several cells are then placed with parallel ow paths and connected thermally and electrically in series. By introducing manifold pressure drop a stack model is created. The stack model is used in a complete system model including an autothermal reformer, a catalytic afterburner and heat recirculation. Four reactions are modeled in the autothermal reformer. Those are two types of methane steam reforming, the water-gas shift reaction and total combustion of methane. The simulation results have been compared with those in the literature and it can be concluded that the models are accurate and that Dymola and Modelica are tools well suited for simulations of the transient fuel cell system behaviour.

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Section: Methodsmentioning

confidence: 99%

Dynamic modeling of a solid oxide fuel cell system in Modelica

Andersson¹,

Åberg²,

Eborn³

et al. 2011

Linköping Electronic Conference Proceedings

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show abstract

“…-The catalyst pellets are isothermal: The main transport resistance inside the catalyst pellet is due to mass transfer, even in the case of highly exothermic reactions 2,41 .…”

Section: Model Description and Solution Proceduresmentioning

confidence: 99%

“…The equilibrium constants calculated at each temperature by Von't Hoff method and their parameters are presented in Table 5 45 : Rates of consumption or formation of species i (r i ) is determined by summing up the reaction rates of that species in all the reactions (r j ). Effectiveness factors η j are used to account for the intra-particle transport limitation 2,13,46 . Therefore, the reaction rate of each species becomes: …”

Section: Reaction Kinetics Modelmentioning

confidence: 99%

“…The mathematical modeling for autothermal reforming with internal heating by oxidation reaction was done by a steady-state one-dimensional heterogeneous model 2,41 . The following assumptions were made for modeling the autothermal reforming reactor:…”

Section: Model Description and Solution Proceduresmentioning

confidence: 99%

“…Problems of fossil fuels include producing gaseous pollutants, such as NOx, CO, and even SO 2 (from incomplete-hydrotreated fuels), which need catalytic converters and greenhouse gas emission (such as CO 2 , CH 4 , N 2 O) from the exhaust with a drastic effect on global warming 1 . Hydrogen usage in fuel cells generates only harmless water vapor 2 . Another future promising application of hydrogen fuel cells may be in small power plants without pollutants or greenhouse gas emission.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulating and Optimizing Hydrogen Production by Low-pressure Autothermal Reforming of Natural Gas using Non-dominated Sorting Genetic Algorithm-II

Azarhoosh

Ebrahim

Pourtarah

2016

Chem. Biochem. Eng. Q.

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Conventional hydrogen production plants consist of natural gas steam reforming to CO+3H 2 on Ni catalysts in a furnace, water-gas shift reaction for converting CO into CO 2 and CO 2 absorption. A new alternative method for highly endothermic steam reforming is autothermal reforming (steam reforming with air input to the reactor) without the need for external heating. In this study, hydrogen production by autothermal reforming for fuel cells (base case) was simulated based on a heterogeneous and one-dimensional model. In addition, the effect of operating variables on the system behavior was studied. Finally, Pareto-optimal solutions for the maximum molar flow rate of the produced hydrogen and methane conversion were determined by NSGA-II. There was a huge increase in the produced hydrogen molar flow to the base case, which showed the importance of optimizing autothermal reformers for hydrogen production.

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