Design Optimization of an LPG Thermal Cracker for Multiple Objectives

Ethylene and propylene, building blocks of the petrochemical industries, are mostly produced by steam cracking of hydrocarbons. In our recent work (Nabavi, Rangaiah, Niaei and Salari, Multiobjective Optimization of an Industrial LPG Thermal Cracker using a First Principles Model, Ind. Eng. Chem. Res. 2009, 48, 9523-9533), operation of an industrial liquefied petroleum gas (LPG) cracker was optimized for several sets of two and three objectives. In this work, optimization of an LPG cracker design is investigated for multiple objectives. The objectives considered are maximization of annual ethylene and propylene production, selectivity and run length, and minimization of severity and total heat duty per year. The elitist non-dominated sorting genetic algorithm adapted with the jumping gene operator, NSGA-II-aJG is used to solve the multi-objective optimization problems. The results of design optimization for multiple objectives are compared with those for operation optimization.

[1]  Gade Pandu Rangaiah,et al.  Multi-Objective Optimization Applications in Chemical Engineering , 2013 .

[2]  J. M. Watt.  Numerical Initial Value Problems in Ordinary Differential Equations , 1972 .

[3]  Gade Pandu Rangaiah,et al.  Multiobjective Optimization of an Industrial LPG Thermal Cracker using a First Principles Model , 2009 .

[4]  Jafar Towfighi,et al.  The combined simulation of heat transfer and pyrolysis reactions in industrial cracking furnaces , 2004 .

[5]  Jafar Towfighi,et al.  Systematics and modelling representations of LPG thermal cracking for olefin production , 2006 .

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

[7]  Santosh K. Gupta,et al.  Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator , 2003, Comput. Chem. Eng..

[8]  Kevin Van Geem,et al.  Two Severity Indices for Scale-Up of Steam Cracking Coils , 2005 .

[9]  Chandan Guria,et al.  Multi-objective optimal synthesis and design of froth flotation circuits for mineral processing using the Jumping gene adaptation of genetic algorithm , 2005 .

[10]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[11]  Gade Pandu Rangaiah,et al.  Multiobjective Optimization of an Industrial Ethylene Reactor Using a Nondominated Sorting Genetic Algorithm , 2005 .

[12]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[13]  Ajay K. Ray,et al.  APPLICATIONS OF MULTIOBJECTIVE OPTIMIZATION IN CHEMICAL ENGINEERING , 2000 .

[14]  G. P. Rangaiah,et al.  Multi-objective optimization of the operation of an industrial low-density polyethylene tubular reactor using genetic algorithm and its jumping gene adaptations , 2006 .

[15]  Zhiqiang Geng,et al.  Multi-objective Particle Swarm Optimization Hybrid Algorithm: An Application on Industrial Cracking Furnace , 2007 .

[16]  Ajay K. Ray,et al.  Design stage optimization of an industrial low-density polyethylene tubular reactor for multiple objectives using NSGA-II and its jumping gene adaptations , 2007 .

[17]  Xiaorong He,et al.  Multi-objective optimization for the periodic operation of the naphtha pyrolysis process using a new parallel hybrid algorithm combining NSGA-II with SQP , 2008, Comput. Chem. Eng..

[18]  Ajay K. Ray,et al.  Applications of the Non-Dominated Sorting Genetic Algorithm (NSGA) in Chemical Reaction Engineering , 2003 .