1.华东理工大学石油加工研究所,上海 200237
2.天津市滨海水业集团有限公司,天津 300381
3.石化盈科信息技术有限责任公司,上海 200050
魏腾龙(1998—),男,硕士研究生,wtlgz1998@163.com
江洪波(1971—),男,博士,副教授,hbjiang@ecust.edu.cn
收稿:2026-01-13,
修回:2026-06-12,
录用:2026-06-22,
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魏腾龙, 衡磊, 江洪波, 等. 36集总连续重整联立方程法反应器模型[J/OL]. 化工学报, 2026.
WEI Tenglong, HENG Lei, JIANG Hongbo, et al. 36-lump reactor model for continuous catalytic reforming based on the equation-oriented method[J/OL]. CIESC Journal, 2026.
魏腾龙, 衡磊, 江洪波, 等. 36集总连续重整联立方程法反应器模型[J/OL]. 化工学报, 2026. DOI: 10.11949/0438-1157.20260053.
WEI Tenglong, HENG Lei, JIANG Hongbo, et al. 36-lump reactor model for continuous catalytic reforming based on the equation-oriented method[J/OL]. CIESC Journal, 2026. DOI: 10.11949/0438-1157.20260053.
在“双碳”目标与炼化行业“油转化”结构调整背景下,连续重整装置对运行稳定与效率的要求不断提高。本文以某100万吨/年芳烃型连续重整工业装置为研究对象,根据催化重整反应机理,采用正交配置法将微分方程组代数化,建立了36集总联立方程法(EO)反应器模型,并采用不同工况的工业装置运行数据,优化确定反应动力学参数。通过多组工业数据验证,模型对主要集总组分摩尔流量、催化剂积炭量及反应器出口温度的预测结果与实测值具有良好一致性。该EO模型可为芳烃型连续重整装置的运行优化提供理论依据,计算效率优于传统的序贯法模型。
Against the background of the "dual carbon" goals and the "oil-to-chemicals" structural adjustment in the refining and chemical industry
continuous catalytic reforming (CCR) units are facing increasingly high requirements for operational stability and efficiency. Taking a 1 million t/a aromatic-oriented industrial continuous catalytic reforming unit as the research object
this paper algebraizes the differential equations using the orthogonal collocation method based on the catalytic reforming reaction mechanism
and establishes a 36-lump reactor model based on the equation-oriented (EO) method. The reaction kinetic parameters are optimized and determined using industrial operation data under different working conditions. Validated with multiple sets of industrial data
the model predictions for the molar flow rates of major lumped components
catalyst coke content and reactor outlet temperature are in good agreement with the measured values. The model can provide a theoretical basis for the operational optimization of aromatic-oriented continuous catalytic reforming units
and its computational efficiency is superior to that of the traditional sequential modular model.
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