Use of a heterogeneous two-dimensional model to improve the primary steam reformer performance

The reforming units are basically furnaces containing burners (which provide a large amount of heat by fuel combustion) and tubes packed with supported nickel catalyst. Due to the high heat input through the reformer tube wall and the endothermic reforming reactions, the catalyst tubes are exposed to significant axial and radial temperature gradients. For this reason, a two-dimensional mathematical model that takes into account the diffusion reaction phenomena inside the particles rigorously has been used to represent the reactor. Strong radial temperature gradients in the reformer tube have been found, particularly close to the reactor entrance. These temperature differences cause significant variations in the methane reaction rate along the radial position, being the catalyst close to the reforming tube center poorly used. For this reason, the reforming tube diameter and the catalyst activity distribution were modified to use the catalyst more efficiently. The tube diameter has an important influence on the reformer performance, considerable higher conversions and reactor capacities per tube (i.e. closer equilibrium approaches) have been observed for the tubes with smaller diameters. The catalyst activity distribution also strongly impacts the reactor operation. The use of two catalysts of different activity, adequately distributed along the axial and radial directions, allowed to significantly decrease the maximum tube wall temperature and simultaneously minimize the reactor volume fraction packed with the catalyst of higher activity.

[1]  L. J. Christiansen,et al.  Activity of steam reforming catalysts: Role and assessment , 1988 .

[2]  Juliana Piña,et al.  Influence of the Heat-Flux Profiles on the Operation of Primary Steam Reformers , 2001 .

[3]  Sunggyu Lee Methane and its derivatives , 1996 .

[4]  Said S.E.H. Elnashaie,et al.  Modelling, Simulation and Optimization of Industrial Fixed Bed Catalytic Reactors , 1994 .

[5]  Moustafa A. Soliman,et al.  Mathematical modelling of diffusion and reaction for gas-solid catalytic systems with complex reaction networks. Negative effectiveness factors , 1992 .

[6]  Ajay K. Ray,et al.  Multiobjective optimization of steam reformer performance using genetic algorithm , 2000 .

[7]  Terje Hertzberg,et al.  Dynamic simulation and optimization of a catalytic steam reformer , 1999 .

[8]  A. M. Adris,et al.  On the reported attempts to radically improve the performance of the steam methane reforming reactor , 1996 .

[9]  G. Froment,et al.  Methane steam reforming: II. Diffusional limitations and reactor simulation , 1989 .

[10]  S. Ergun Fluid flow through packed columns , 1952 .

[11]  Anthony G. Dixon,et al.  Fluid-phase radial transport in packed beds of low tube-to-particle diameter ratio , 1984 .

[12]  I. Dybkjaer,et al.  Tubular reforming and autothermal reforming of natural gas — an overview of available processes , 1995 .

[13]  G. Froment,et al.  Methane steam reforming, methanation and water‐gas shift: I. Intrinsic kinetics , 1989 .

[14]  Moustafa A. Soliman,et al.  Digital simulation of industrial steam reformers for natural gas using heterogeneous models , 1992 .

[15]  G. Froment,et al.  Chemical Reactor Analysis and Design , 1979 .

[16]  Anthony G. Dixon,et al.  Theoretical prediction of effective heat transfer parameters in packed beds , 1979 .

[17]  A. Rodrigues,et al.  Modelling of the methane steam reforming reactor with large-pore catalysts , 1992 .