Multi-objective optimization of sequentially-simulated moving bed for separation of xylo-oligosaccharides and its variables regulation mechanism
LI Yan1, LING Shan1, LIU Ju-ming1, XU Jin2
1. College of Chemical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China; 2. College of Chemistry and Materials Engineering, Wenzhou University, Wenzhou 325035, China
Abstract: Based on the previous separation experiments,non-dominated sorting genetic algorithm Ⅱ is employed to perform multi-objective optimization on xylo-oligosaccharides (XOS) separation process by sequential simulated moving bed (SSMB).The optimum operating conditions and variables regulation mechanism for SSMB separation process are studied,and compared with those for traditional simulated moving bed.Based on the study conclusion,a universal variables control strategy is proposed.Aiming at maximizing the yield of xylo-oligosaccharides and minimizing the water consumption,the optimal operation curve,variation trend of variables,internal concentration curve and mass flow rate at the outlet of SSMB separation process are analyzed in detail.Finally,a universal strategy suitable for design optimization and variables regulation of SSMB is proposed,and it is proved that traditional flow ratio and balance theory cannot be used for variables control of SSMB process.It also provides a new idea and method for the application of SSMB in the carbohydrate multi-component system,complex chiral drugs,and biomass systems.
李艳, 凌山, 刘聚明, 徐进. 顺序式模拟移动床分离低聚木糖多目标优化及其变量调控机制[J]. 现代化工, 2023, 43(1): 240-245.
LI Yan, LING Shan, LIU Ju-ming, XU Jin. Multi-objective optimization of sequentially-simulated moving bed for separation of xylo-oligosaccharides and its variables regulation mechanism. Modern Chemical Industry, 2023, 43(1): 240-245.
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