Abstract

The simulation and optimization of industrial-scale simulated moving bed for para-xylene purification from a mixture of C₈ aromatics are presented. The separation process was modeled using true moving bed modeling strategy. The multi-objective teaching-learning-based optimization algorithm (MOTLBO) is improved by introducing alpha constrained technique, which is employed to optimize the yield of PX and consumption of desorbent. The improved MOTLBO has advantages in both convergence and distribution as compared to NSGA-II and MOTLBO. The optimized results suggest that the extract flowrate and consumption of desorbent should be increased, and simultaneously the step time and raffinate flowrate keep constant, so as to achieve a higher yield of PX.

中文翻译：

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对二甲苯纯化模拟移动床的建模与优化

摘要

提出了从C ₈芳烃混合物中纯化对二甲苯的工业规模模拟移动床的模拟和优化。使用真正的移动床建模策略对分离过程进行建模。通过引入alpha约束技术改进了基于多目标教学的优化算法（MOTLBO），该技术用于优化PX的产率和解吸剂的消耗。与NSGA-II和MOTLBO相比，改进的MOTLBO在收敛和分布上均具有优势。优化结果表明，应提高萃取剂的流速和解吸剂的消耗量，同时使步长和提余液流速保持恒定，从而获得更高的PX收率。