Optimization of a novel multifunctional reactor containing m-xylene hydrodealkylation and naphtha reforming

The commercial introduction of Pt-Re supported catalysts to replace Pt alone on Al2O3 has brought improvements to naphtha reforming. The bimetallic catalyst can be operated continuously under conditions which lead to deactivation of the single metal catalyst by coke formation. Much disagreement still exists as to the exact nature of the bimetallic catalyst at a microscopic level and how it functions in the process so successfully. The overall purpose of this study was to develop the materials characterization tools necessary to study supported catalysts. Specifically with the Pt-Re:Al2O3 catalyst, we sought to elucidate the elemental distribution on the catalyst.

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Catalytic Naphtha Reforming; Challenges for Selective Gasoline; an Overview and Optimization Case Study

Journal of Advanced Catalysis Science and Technology ◽

10.15379/2408-9834.2016.03.01.04 ◽

2016 ◽

Vol 3 (1) ◽

pp. 27-42 ◽

Cited By ~ 3

Author(s):

Fawzi Elfghi ◽

Keyword(s):

Naphtha Reforming

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Catalytic activity of Pt-Re-Pb/Al2O3 naphtha reforming catalysts

Journal of Chemical Technology & Biotechnology ◽

10.1002/jctb.2633 ◽

2011 ◽

Vol 86 (9) ◽

pp. 1198-1204 ◽

Cited By ~ 5

Author(s):

María A. Sánchez ◽

Vanina A. Mazzieri ◽

Javier M. Grau ◽

Juan C. Yori ◽

Carlos L. Pieck

Keyword(s):

Catalytic Activity ◽

Naphtha Reforming ◽

Reforming Catalysts

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Trimetallic naphtha reforming catalysts. I. Properties of the metal function and influence of the order of addition of the metal precursors on Pt–Re–Sn/γ-Al2O3–Cl

Applied Catalysis A General ◽

10.1016/j.apcata.2004.04.004 ◽

2004 ◽

Vol 269 (1-2) ◽

pp. 91-103 ◽

Cited By ~ 64

Author(s):

L.S Carvalho ◽

C.L Pieck ◽

M.C Rangel ◽

N.S Fı́goli ◽

J.M Grau ◽

...

Keyword(s):

Naphtha Reforming ◽

Reforming Catalysts ◽

Metal Precursors

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Influence of Time and Temperature on the Regeneration of PtReIn/Al2O3 Naphtha Reforming Catalysts

Catalysis Letters ◽

10.1007/s10562-014-1282-9 ◽

2014 ◽

Vol 144 (7) ◽

pp. 1178-1187 ◽

Cited By ~ 6

Author(s):

María A. Vicerich ◽

Marcelo Oportus ◽

Viviana M. Benitez ◽

Patricio Reyes ◽

Carlos L. Pieck

Keyword(s):

Naphtha Reforming ◽

Reforming Catalysts

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Application of Honey-Bee Mating Optimization to Naphtha Reforming Reactor

International Journal of Chemical Reactor Engineering ◽

10.1515/ijcre-2013-0035 ◽

2013 ◽

Vol 11 (1) ◽

pp. 293-308 ◽

Cited By ~ 2

Author(s):

Somayeh Karimi ◽

Navid Mostoufi ◽

Rahmat Sotudeh-Gharebagh

Keyword(s):

Objective Function ◽

Honey Bee ◽

Process Model ◽

Global Optimum ◽

Inlet Temperature ◽

Local Optimum ◽

Naphtha Reforming ◽

Decision Variables ◽

Algorithm Comparison ◽

Honey Bee Mating Optimization

Abstract Modeling and optimization of the process of continuous catalytic reforming (CCR) of naphtha was investigated. The process model is based on a network of four main reactions which was proved to be quite effective in terms of industrial application. Temperatures of the inlet of four reactors were selected as the decision variables. The honey-bee mating optimization (HBMO) and the genetic algorithm (GA) were applied to solve the optimization problem and the results of these two methods were compared. The profit was considered as the objective function which was subject to maximization. Optimization of the CCR moving bed reactors to reach maximum profit was carried out by the HBMO algorithm and the inlet temperature reactors were considered as decision variables. The optimization results showed that an increase of 3.01% in the profit can be reached based on the results of the HBMO algorithm. Comparison of the performance of optimization by the HBMO and the GA for the naphtha reforming model showed that the HBMO is an effective and rapid converging technique which can reach a better optimum results than the GA. The results showed that the HBMO has a better performance than the GA in finding the global optimum with fewer number of objective function evaluations. Also, it was shown that the HBMO is less likely to get stuck in a local optimum.

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