Process modeling reforming

Michael P. Ramage, Kenneth R. Graziani, Paul H. Schipper, Frederick J. Krambeck, and Byung C. Choi, KINPTK (Mobil s Kinetic Reforming Model) A Review of Mobil s Industrial Process Modeling Philosophy... 

KINPTR (MOBIL S KINETIC REFORMING MODEL) A REVIEW OF MOBIL S INDUSTRIAL PROCESS MODELING PHILOSOPHY... 

KINPTR is an overall process model thus it simulates all important aspects of the process which affect performance. In order to lay a foundation for upcoming discussions related to KINPTR development, the important aspects of naphtha reforming—chemistry, catalysis, and reactor/hardware design—will be summarized. More extensive reviews are available in the literature (1-3). 

While the 13 hydrocarbon lumps accurately represent the hydrocarbon conversion kinetics, they must be delumped for the deactivation kinetics. In addition, delumping is necessary to estimate many of the product properties and process conditions important to an effective reformer process model. These include H2 consumption, recycle gas H2 purity, and key reformate properties such as octane number and vapor pressure. The following three lump types had to be delumped the C5- kinetic lump into Cl to C5 light gas components, the paraffin kinetic lumps into isoparaffin and n-paraffin components, and the Cg+ kinetic lumps into Cg, C9, C10, and Cn components by molecular type. 

The reforming process model is designed to predict the performance of many reactor configurations. The model can be run in four modes, combining adiabatic or isothermal reactors with recycle or single-pass (no recycle)... 

We wish to acknowledge C. D. Prater, J. J. Wise, and V. W. Weekman, Jr., for their valuable guidance and critical support of the KINPTR research and development program. Their strong commitment, both technically and managerially, to the development of a reforming process model based on fundamental reaction kinetics was instrumental to KINPTR s success. 

Some research groups working on the modeling of MCFC include the reforming reactions in their process models in different ways. He and Chen [1] and Yoshiba et al. [2] only consider the water-gas shift reaction in a spatially distributed anode channel. Due to its high rate, they assume the shift reaction to be in chemical equilibrium. Lukas and Lee [3] and Park et al. [4] also describe the water-gas shift reaction in equilibrium, but in addition they include the steam reforming reaction of methane as an irreversible reaction with a finite reaction rate. In particular, Park... 

For an examination of the H20 destabilization on the Si oxide surface containing A1 which possibly promote a transformation of DME to methanol in the steam reforming process, model clusters employed are shown in Figures 25.4-25.8. A cluster shown in Figure 25.4 is a model of a bulk Si oxide, which is a reference material here. In this cluster, Si atoms are located at (0,0,0),... 

Naphtha catalytic reforming process Maximization of tiie aromatic yield and minimization of the yield of heavy aromatics. Neighborhood and Archived GA (NAGA) The process model is based on 20 lumps and 31 reactions. The frequency factors of 31 reactions were estimated by matching the predictions with the operating data. Hou et al. (2007)... 

It is my pleasure and honor to edit this first book on MOO with focus on chemical engineering applications. Although process modeling and optimization has been my research interest since my doctoral studies around 1980, my interest and research in MOO began in 1998 when Prof. S.K. Gupta, Prof. A.K. Ray and I initiated collaborative work on the optimization of a steam reformer. Since then, we have studied optimization of many industrial reactors and processes that need to meet multiple objectives. I am thankful to both Prof. S.K. Gupta and Prof. A.K. Ray for the successful collaboration over the years. 

Multiple process models of various reformer and purification options have been developed. These models served as a baseline to create the mechanical designs of the system. 

Results to date also include the development of detailed process models of SMR and purification systems. These models served as the baseline for the development of the mechanical design concepts. Options such as high/low pressure reforming, natural gas/syngas compression, PSA/membrane purification and various levels of thermal/process integration were modeled. 

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