Design of adiabatic fixed-bed reactors for the partial oxidation of methane to synthesis gas. Application to production of methanol and hydrogen-for-fuel-cells

Smet, C.R.H. de; Croon, M.H.J.M. de; Berger, Rob J.; Marin, Guy; Schouten, J.C.

doi:10.1016/s0009-2509(01)00130-0

Cited by 159 publications

(112 citation statements)

References 17 publications

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“…The control objective is therefore to regulate T cpox at 972 K and y an H 2 at 0.08. This desired value of T cpox = 972K also agrees with the value published in the literature [9].…”

Section: A Control Problem Formulationsupporting

confidence: 90%

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Control-oriented model of fuel processor for hydrogen generation in fuel cell applications

Pukrushpan

Stefanopoulou

Varigonda³

et al. 2006

Control Engineering Practice

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A control-oriented dynamic model of a catalytic partial oxidation-based fuel processor is developed using physicsbased principles. The Fuel Processor System (FPS) converts a hydrocarbon fuel to a hydrogen (H 2 ) rich mixture that is directly feed to the Proton Exchange Membrane Fuel Cell Stack (PEM-FCS). Cost and performance requirements of the total powerplant typically lead to highly integrated designs and stringent control objectives. Physics based component models are extremely useful in understanding the system level interactions, implications on system performance and in model-based controller design. The model can be used in a multivariable analysis to determine characteristics of the system that might limit performance of a controller or a control design.In this paper, control theoretic tools such as the relative gain array (RGA) and the observability gramian are employed to guide the control design for a FPS combined with a PEM-FC. For example this simple multivariable analysis suggests that a decrease in HDS volume is critical for the hydrogen starvation control. Moreover, RGA analysis shows different level of coupling between the system dynamics at different power levels. Finally, the observability analysis can help in assessing the relative cost-benefit ratio in adding extra sensors in the system.

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“…The control objective is therefore to regulate T cpox at 972 K and y an H 2 at 0.08. This desired value of T cpox = 972K also agrees with the value published in the literature [9].…”

Section: A Control Problem Formulationsupporting

confidence: 90%

“…After the initial increase in W H 2 ,f ps , TOX reaction drops and heat generated from the reaction is not sufficient to maintain the CPOX temperature. The drop in T cpox later lower the rate of CH 4 reacts (see Figure 5) [7], [9], [10], [22] Parameter …”

Section: Simulation and Model Validationmentioning

confidence: 98%

Control-oriented model of fuel processor for hydrogen generation in fuel cell applications

Pukrushpan

Stefanopoulou

Varigonda³

et al. 2006

Control Engineering Practice

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“…-Total pressure of the reformer is constant: It is negligible in the investigated conditions 41 . -The bed porosity is constant.…”

Section: Model Description and Solution Proceduresmentioning

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%

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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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Microreactor Engineering: Processes, Detailed Design and Modeling

Vlachos

2009

Microfabricated Power Generation Devices

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Design of adiabatic fixed-bed reactors for the partial oxidation of methane to synthesis gas. Application to production of methanol and hydrogen-for-fuel-cells

Cited by 159 publications

References 17 publications

Control-oriented model of fuel processor for hydrogen generation in fuel cell applications

Control-oriented model of fuel processor for hydrogen generation in fuel cell applications

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

Microreactor Engineering: Processes, Detailed Design and Modeling

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