Optimal operation of nanofilter based diafiltration processes using experimental permeation models

Ayush Sharma, Martin Jelemenský, M. Fikar, R. Paulen
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引用次数: 1

Abstract

In this paper, a choice of models for optimal control strategy is discussed for batch membrane processes. The system of lactose and salt in water is studied with the separation aim being concentration of lactose and simultaneous removal of salt. The most crucial part of the model is dependence of permeation rate on concentrations of components. Two models from literature and one data-based model are fitted to experimental data. An optimal control problem (OCP) is formulated to minimize processing time using diluant-to-permeate flow ratio as the control input. The optimal control strategy is found analytically and verified using numerical methods of dynamic optimization. The resulting processing times and the optimal input profiles are compared between all the models. Simulation case study confirms the attractiveness of the proposed approach.
基于实验渗透模型的纳滤过滤过程的优化操作
本文讨论了间歇膜过程最优控制策略的模型选择问题。以乳糖与盐在水中的分离为目的,研究了乳糖与盐在水中的分离体系。模型中最关键的部分是渗透速率对组分浓度的依赖性。两个文献模型和一个基于数据的模型拟合实验数据。以稀释剂-渗透流量比作为控制输入,提出了一个优化控制问题(OCP),以最小化处理时间。利用动态优化的数值方法,对其优化控制策略进行了分析和验证。在所有模型之间比较了得到的处理时间和最优输入轮廓。仿真实例研究证实了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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