基于改进海洋捕食者算法的乙苯脱氢反应动力学参数识别及其传质传热特性研究

唐仁实; 谢乐

doi:10.11949/0438-1157.20260283

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基于改进海洋捕食者算法的乙苯脱氢反应动力学参数识别及其传质传热特性研究

催化、动力学与反应器 | 更新时间：2026-05-19

- 基于改进海洋捕食者算法的乙苯脱氢反应动力学参数识别及其传质传热特性研究
- Estimation of kinetic parameters and study on mass and heat transfer characteristics of ethylbenzene dehydrogenation based on improved Marine Predator Algorithm
- 化工学报 2026年
- 作者机构：
  
  中南大学化学化工学院，湖南长沙 410083
- 作者简介：
  
  唐仁实（2002-），男，博士研究生，232312141@csu.edu.cn；
  谢乐（1989-），男，博士，副教授， xiele2018@csu.edu.cn；
- 基金信息：
  
  国家自然科学基金项目(22578511);中南大学研究生自主探索创新项目(2025ZZTS0539)
- DOI：10.11949/0438-1157.20260283
  中图分类号： TQ 032
- 收稿：2026-03-04，
  
  修回：2026-05-13，
  
  录用：2026-05-19，
- 稿件说明：
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唐仁实, 谢乐. 基于改进海洋捕食者算法的乙苯脱氢反应动力学参数识别及其传质传热特性研究[J/OL]. 化工学报, 2026.

TANG Renshi, XIE Le. Estimation of kinetic parameters and study on mass and heat transfer characteristics of ethylbenzene dehydrogenation based on improved Marine Predator Algorithm[J/OL]. CIESC Journal, 2026.
唐仁实, 谢乐. 基于改进海洋捕食者算法的乙苯脱氢反应动力学参数识别及其传质传热特性研究[J/OL]. 化工学报, 2026. DOI： 10.11949/0438-1157.20260283.

TANG Renshi, XIE Le. Estimation of kinetic parameters and study on mass and heat transfer characteristics of ethylbenzene dehydrogenation based on improved Marine Predator Algorithm[J/OL]. CIESC Journal, 2026. DOI： 10.11949/0438-1157.20260283.

摘要

固定床中乙苯脱氢制苯乙烯反应动力学-反应器耦合模型中包含大量的未知参数，如何利用有限的实验数据高效校准这些参数具有重要意义。通过引入了线性种群缩减、特征坐标系旋转和停滞重启机制三种改进策略，提出了一种改进的海洋捕食者算法(IMPA)。首先利用两个标准测试函数对算法性能进行评价，IMPA算法计算得到的残差平均值分别为1.23和5.38，远小于标准MPA、遗传算法（GA）和灰狼算法（GWO）的残差平均值，且IMPA迭代100代的平均CPU耗时小于0.68 s。然后将IMPA算法用于固定床中乙苯脱氢反应动力学参数识别，四个反应速率常数和温度之间均满足阿伦尼乌斯方程（R

0.90），计算得到主反应的活化能为159.15 kJ/mol。最后利用模型研究固定床中乙苯脱氢过程的传质和传热特性。系统分析了轴向扩散系数、气-固相间传质系数、催化剂颗粒内扩散系数和颗粒粒径对乙苯转化率和苯乙烯产量的影响规律；考察了气-固相间传热系数、壁面总传热系数和流速对固定床内气相温度分布的影响，进而得到最优操作条件。IMPA 算法也可为其他反应器模型参数识别和操作条件优化提供一种有效的求解方法。

Abstract

The reaction kinetic-reactor coupled model of ethylbenzene dehydrogenation to styrene in fixed bed contains many unknown parameters. It is of great significance to efficiently calibrate these parameters using limited experimental data. This study proposes an improved Marine Predator Algorithm (IMPA) by introducing three improvement strategies: linear population reduction

feature coordinate system rotation

and stagnation restart mechanism. Firstly

two standard test functions were employed to evaluate the performance of the algorithm

The mean residual values obtained by the IMPA were only 1.23 and 5.38

respectively

which are significantly lower than those of the standard MPA

genetic algorithm (GA)

and Grey Wolf Optimizer (GWO). Moreover

the average CPU time of IMPA over 100 iterations was less than 0.68 s. Then

the IMPA was applied to estimate the kinetic parameters. All the four reaction rate constants satisfied the Arrhenius equation as a function of temperature (R² > 0.90)

and the activation energy for the main reaction was calculated to be 159.15 kJ/mol. Finally

the mass and heat transfer characteristics of ethylbenzene dehydrogenation process in fixed bed were investigated. The effects of axial diffusion coefficient

gas-solid phase mass transfer coefficient

catalyst particle internal diffusion coefficient

and particle size on ethylbenzene conversion and styrene production were analyzed; The effects of gas-solid interphase heat transfer coefficient

total wall heat transfer coefficient

and flow velocity on the temperature distribution of gas phase were also studied. The proposed IMPA can also provide an effective solution method for parameter estimation and operating condition optimization of other reactor models.

关键词

Keywords

references

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