Recirculation and reaction hybrid intelligent modeling and simulation for industrial ethylene cracking furnace

HUA Feng1 FANG Zhou1 QIU Tong1

(1.Department of Chemical Engineering, Tsinghua University, Beijing, China 100084)

【Abstract】The simulation of naphtha pyrolysis in industrial ethylene cracking furnaces, which usually requires both firebox and reactor models, is non-linear and strongly coupled. The firebox model involves a great number of variables and takes a lot of time to get a solution. An intelligent hybrid model was proposed by first designing an artificial neural network (ANN) from the data of the firebox model and then combining ANN with the reactor model. The intelligent hybrid modeling and simulation was developed on an industrial ethylene cracking furnace. By using actual process data, it is demonstrated that the hybrid simulation shows good agreement with industrial production. The hybrid model significantly reduces simulation time and largely meets the requirement of industrial modeling.

【Keywords】 simulation; model reduction; pyrolysis; neural network; ethylene; zone method;

【DOI】

【Funds】 National Natural Science Foundation of China (U1462206)

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(Translated by Song K)

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This Article

ISSN:0438-1157

CN: 11-1946/TQ

Vol 69, No. 03, Pages 923-930

March 2018

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Article Outline

Abstract

  • Introduction
  • 1 Model of heat transfer mechanism outside the cracking tube using zone method
  • 2 Intelligent hybrid model
  • 3 Conclusions
  • Symbol description
  • References