SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2025, Vol. 80 ›› Issue (4): 130-146.DOI: 10.1016/j.cjche.2024.12.003

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Kinetic modeling and multi-objective optimization of an industrial hydrocracking process with an improved SPEA2-PE algorithm

Chen Fan, Xindong Wang, Gaochao Li, Jian Long   

  1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • 收稿日期:2024-09-14 修回日期:2024-12-03 接受日期:2024-12-15 出版日期:2025-04-28 发布日期:2025-02-20
  • 通讯作者: Jian Long,E-mail:longjian@ecust.edu.cn
  • 基金资助:
    This work was supported by National Key Research and Development Program of China (2023YFB3307800), National Natural Science Foundation of China (Key Program: 62136003, 62373155), Major Science and Technology Project of Xinjiang (No. 2022A01006-4), and the Fundamental Research Funds for the Central Universities.

Kinetic modeling and multi-objective optimization of an industrial hydrocracking process with an improved SPEA2-PE algorithm

Chen Fan, Xindong Wang, Gaochao Li, Jian Long   

  1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
  • Received:2024-09-14 Revised:2024-12-03 Accepted:2024-12-15 Online:2025-04-28 Published:2025-02-20
  • Contact: Jian Long,E-mail:longjian@ecust.edu.cn
  • Supported by:
    This work was supported by National Key Research and Development Program of China (2023YFB3307800), National Natural Science Foundation of China (Key Program: 62136003, 62373155), Major Science and Technology Project of Xinjiang (No. 2022A01006-4), and the Fundamental Research Funds for the Central Universities.

摘要: Hydrocracking is one of the most important petroleum refining processes that converts heavy oils into gases, naphtha, diesel, and other products through cracking reactions. Multi-objective optimization algorithms can help refining enterprises determine the optimal operating parameters to maximize product quality while ensuring product yield, or to increase product yield while reducing energy consumption. This paper presents a multi-objective optimization scheme for hydrocracking based on an improved SPEA2-PE algorithm, which combines path evolution operator and adaptive step strategy to accelerate the convergence speed and improve the computational accuracy of the algorithm. The reactor model used in this article is simulated based on a twenty-five lumped kinetic model. Through model and test function verification, the proposed optimization scheme exhibits significant advantages in the multi-objective optimization process of hydrocracking.

关键词: Hydrocracking, Multi-objective optimization, Improved SPEA2, Kinetic modeling

Abstract: Hydrocracking is one of the most important petroleum refining processes that converts heavy oils into gases, naphtha, diesel, and other products through cracking reactions. Multi-objective optimization algorithms can help refining enterprises determine the optimal operating parameters to maximize product quality while ensuring product yield, or to increase product yield while reducing energy consumption. This paper presents a multi-objective optimization scheme for hydrocracking based on an improved SPEA2-PE algorithm, which combines path evolution operator and adaptive step strategy to accelerate the convergence speed and improve the computational accuracy of the algorithm. The reactor model used in this article is simulated based on a twenty-five lumped kinetic model. Through model and test function verification, the proposed optimization scheme exhibits significant advantages in the multi-objective optimization process of hydrocracking.

Key words: Hydrocracking, Multi-objective optimization, Improved SPEA2, Kinetic modeling