Application of Multiobjective Optimization in the Design and Operation of Reactive SMB and Its Experimental Verification
Application of Multiobjective Optimization in the Design and Operation of Reactive SMB and Its Experimental Verification
复制标题
多目标优化在反应式SMB设计与运行中的应用及实验验证
DOI：
10.1021/ie030387p
复制
发表时间：
2003
影响因子：
4.2
通讯作者：
A. Ray
中科院分区：
文献类型：
--
作者：
Weifang Yu;K. Hidajat;A. Ray
采用实验验证的数学模型，对模拟移动床反应器（SMBR）合成乙酸甲酯过程进行了优化。对现有的模拟移动床反应器实验装置进行了多目标优化，并对优化结果进行了实验验证。此后，很少有其他多目标优化研究进行现有的设置和在设计阶段。还研究了可变（分布）进料流量对SMBR最佳性能的影响。采用基于人工智能的非支配排序遗传算法（NSGA）进行优化，得到帕累托最优解。本文证明了多目标优化的反应SMB过程的设计的有用性。
The performance of reactive simulated moving bed (SMBR) process was optimized for an experimentally verified mathematical model for the synthesis of methyl acetate ester. Multiobjective optimization was performed for an existing SMBR experimental setup, and optimum results obtained were subsequently verified experimentally. Thereafter, few other multiobjective optimization studies were performed for both existing setup and at the design stage. The effect of variable (distributed) feed flow rate on the optimum performance of SMBR was also investigated. The optimization was performed using AI-based nondominated sorting genetic algorithm (NSGA), which resulted in Pareto optimal solutions. The paper demonstrates usefulness of multiobjective optimization in the design of reactive SMB processes.