Multiobjective Optimization of Industrial Naphtha Cracker for Production of Ethylene and Propylene

Naphtha pyrolysis is one of the important routes for simultaneous production of ethylene and propylene. With recent increase in demand of both ethylene and propylene, understanding of naphtha pyrolysis becomes important for producing with increasing yield of these valuable products. Simultaneous maximization of yield of these two products is mathematically formulated as a multiobjective optimization (MOO) problem. Improved selected scheme is incorporated in the existing multiobjective differential evolution (MODE) algorithm and a new evolutionary algorithm is proposed. Both the evolutionary algorithms [i.e., MODE III and MODE-III with improved selection scheme (MODE III-ISS)] are used for MOO of industrial naphtha cracker unit. Two objectives (maximization of ethylene yield and propylene yield) and decision variables [pressure of the reactor tube (P), temperature of the reactor (T), initial flow rate of naphtha (F 0), and steam to naphtha ratio (SOR)] are considered for MOO study. MODE III and MODE III-ISS algorithms results are compared and presented, which clearly shows that the proposed MODE III-ISS algorithm possesses certain advantages over the MODE III algorithm (such as number of successful selections and percentage convergence with respect to initial number of population points, the quality of the obtained nondominated [ND] solutions).

[1]  Kishalay Mitra,et al.  Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation , 2004 .

[2]  P. Kumar,et al.  Kinetics of coke deposition in naphtha pyrolysis , 1985 .

[3]  K. M. Sundaram,et al.  Modeling of thermal cracking kinetics—I , 1977 .

[4]  Rainer Storn,et al.  Differential Evolution-A simple evolution strategy for fast optimization , 1997 .

[5]  Kishalay Mitra,et al.  Handling Uncertainty in Kinetic Parameters in Optimal Operation of a Polymerization Reactor , 2011 .

[6]  B. V. Babu,et al.  Hybrid multi-objective differential evolution (H-MODE) for optimisation of polyethylene terephthalate (PET) reactor , 2010, Int. J. Bio Inspired Comput..

[7]  B. V. Babu,et al.  Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor , 2005 .

[8]  B. V. Babu,et al.  Optimization of Adiabatic Styrene Reactor: A Hybrid Multiobjective Differential Evolution (H-MODE) Approach , 2009 .

[9]  Yiming Li,et al.  Hybrid Differential Evolution and Particle Swarm Optimization Approach to Surface-Potential-Based Model Parameter Extraction for Nanoscale MOSFETs , 2011 .

[10]  G. P. Rangaiah,et al.  Economic and Environmental Criteria and Trade-Offs for Recovery Processes , 2011 .

[11]  R. K. Ursem Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[12]  许旱峤,et al.  Kirk-Othmer Encyclopedia of Chemical Technology数据库介绍及实例 , 2007 .

[13]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[14]  B. V. Babu,et al.  Multi-objective optimization of industrial styrene reactor: Adiabatic and pseudo-isothermal operation , 2010 .

[15]  K. M. Sundaram,et al.  Modeling of Thermal Cracking Kinetics. 3. Radical Mechanisms for the Pyrolysis of Simple Paraffins, Olefins, and Their Mixtures , 1978 .

[16]  Feng-Sheng Wang,et al.  Hybrid method of evolutionary algorithms for static and dynamic optimization problems with application to a fed-batch fermentation process , 1999 .

[17]  B. Babu,et al.  Multiobjective Optimization of Industrial Processes Using Elitist Multiobjective Differential Evolution (Elitist-MODE) , 2011 .

[18]  Nirupam Chakraborti,et al.  Multiobjective Optimization of Manganese Recovery from Sea Nodules Using Genetic Algorithms , 2008 .

[19]  Ashish M. Gujarathi,et al.  Improved Multiobjective Differential Evolution (MODE) Approach for Purified Terephthalic Acid (PTA) Oxidation Process , 2009 .

[20]  Nirupam Chakraborti,et al.  Analyzing Leaching Data for Low-Grade Manganese Ore Using Neural Nets and Multiobjective Genetic Algorithms , 2009 .

[21]  Gilbert F. Froment,et al.  Scaling up of naphtha cracking coils , 1981 .

[22]  D. Kunzru,et al.  Modeling of naphtha pyrolysis , 1985 .