SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2021, Vol. 38 ›› Issue (10): 1-17.DOI: 10.1016/j.cjche.2021.03.033

• Reviews •     Next Articles

Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: From the perspective of intelligent manufacturing

Kexin Bi, Shuyuan Zhang, Chen Zhang, Haoran Li, Xinye Huang, Haoyu Liu, Tong Qiu   

  1. Beijing Key Laboratory of Industrial Big Data System and Application, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2020-10-20 Revised:2021-03-12 Online:2021-12-02 Published:2021-10-28
  • Contact: Tong Qiu
  • Supported by:
    The authors gratefully acknowledge the National Natural Science Foundation of China for its financial support (U1462206).

Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: From the perspective of intelligent manufacturing

Kexin Bi, Shuyuan Zhang, Chen Zhang, Haoran Li, Xinye Huang, Haoyu Liu, Tong Qiu   

  1. Beijing Key Laboratory of Industrial Big Data System and Application, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
  • 通讯作者: Tong Qiu
  • 基金资助:
    The authors gratefully acknowledge the National Natural Science Foundation of China for its financial support (U1462206).

Abstract: Applications of process systems engineering (PSE) in plants and enterprises are boosting industrial reform from automation to digitization and intelligence. For ethylene thermal cracking, knowledge expression, numerical modeling and intelligent optimization are key steps for intelligent manufacturing. This paper provides an overview of progress and contributions to the PSE-aided production of thermal cracking; introduces the frameworks, methods and algorithms that have been proposed over the past 10 years and discusses the advantages, limitations and applications in industrial practice. An entire set of molecular-level modeling approaches from feedstocks to products, including feedstock molecular reconstruction, reaction-network auto-generation and cracking unit simulation are described. Multi-level control and optimization methods are exhibited, including at the operational, cycle, plant and enterprise level. Relevant software packages are introduced. Finally, an outlook in terms of future directions is presented.

Key words: Ethylene thermal cracking, PSE, Intelligent manufacturing, Molecularization and digitization, Modeling and optimization

摘要: Applications of process systems engineering (PSE) in plants and enterprises are boosting industrial reform from automation to digitization and intelligence. For ethylene thermal cracking, knowledge expression, numerical modeling and intelligent optimization are key steps for intelligent manufacturing. This paper provides an overview of progress and contributions to the PSE-aided production of thermal cracking; introduces the frameworks, methods and algorithms that have been proposed over the past 10 years and discusses the advantages, limitations and applications in industrial practice. An entire set of molecular-level modeling approaches from feedstocks to products, including feedstock molecular reconstruction, reaction-network auto-generation and cracking unit simulation are described. Multi-level control and optimization methods are exhibited, including at the operational, cycle, plant and enterprise level. Relevant software packages are introduced. Finally, an outlook in terms of future directions is presented.

关键词: Ethylene thermal cracking, PSE, Intelligent manufacturing, Molecularization and digitization, Modeling and optimization