IMPROVING ESTIMATION EFFICIENCY OF LUMPED MODEL PARAMETERS FOR CONTINUOUS CATALYTIC REFORMING

Abstract

Abstract: The process simulations of continuous catalytic reforming needs high-efficient and accurate model. At present, the initial model is established by lumping according to the kinetic characteristics of the reactants, and the model is then estimated using laboratory or actual production data. However, because of the large difference in reaction rate between the lump components, the model has strong rigidity, which makes it difficult to estimate the parameters of the model and has the problems of time-consuming and poor convergence. In order to solve these problems, a quasi-steady-state assumption was proposed to simplify the calculation of the rigid components in the lumped model. The results show that this method can effectively simplify the lumped model for the 30 lumped model with continuous reforming band, and improve the estimation efficiency of model parameters.

Key words: continuous catalytic reforming, lumped model, quasi-steady-state assumption, parameter estimation

References

[1]徐承恩. 催化重整工艺与工程[M]. 北京:中国石化出版社, 2006.192-193.
[2]梁超, 张泉灵. 催化重整装置反应器的建模与仿真[J]. 化工学报, 2012, 63(11): 3591-3596.
[3]丁福臣, 周志军, 李兴, 等. 催化裂化五集总动力学模型参数估计方法[J]. 炼油设计, 2001, 31(4): 52-55.
[4]徐斌, 陈旭, 陶莉莉, 等. 基于适应策略差分进化算法的化工反应动力学参数估值[J]. 化工进展, 2018, 37(06): 2077-2083.
[5]王建伟, 彭亦功. 引入迁移和变异策略的改进鸟群算法及其在参数估计中的应用[J]. 华东理工大学学报 (自然科学版), 2018, 44(4): 617-624.
[6]Wang L, Han X, Cao Y, et al. Computational singular perturbation analysis of stochastic chemical systems with stiffness[J]. Journal of Computational Physics, 2017, 335: 404-425.
[7]Dotto G L, Salau N P G, Piccin J S, et al. Adsorption kinetics in liquid phase: modeling for discontinuous and continuous systems[M]. Adsorption processes for water treatment and purification. Springer, Cham, 2017: 53-76.
[8]孙云. 逆流连续重整反应器模型研究[D]. 华东理工大学,2021.
[9]Goeke A, Walcher S, Zerz E. Classical quasi-steady state reduction—a mathematical characterization[J]. Physica D: Nonlinear Phenomena, 2017, 345: 11-26.
[10]Reshniak V, Khaliq A, Voss D. Slow-scale split-step tau-leap method for stiff stochastic chemical systems[J]. Journal of Computational and Applied Mathematics, 2019, 361: 79-96.
[11]Kang H W, KhudaBukhsh W R, Koeppl H, et al. Quasi-steady-state approximations derived from the stochastic model of enzyme kinetics[J]. Bulletin of mathematical biology, 2019, 81(5): 1303-1336.
[12]Turanyi T, Tomlin A S, Pilling M J. On the error of the quasi-steady-state approximation[J]. The Journal of Physical Chemistry, 1993, 97(1): 163-172.

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