An bi-level approach is presented for the optimal design of batch and steady-state recycling (SSR) chromatography. On the first level, an efficient formulation as mixed-integer problem (MIP) is applied to obtain optimal fractionation times for chromatograms simulated by the equilibrium model. On the second level, the optima are evaluated against a parametrized objective function. The combination of model and optimization method provides a computationally very efficient tool. A comprehensive example study demonstrates that batch chromatography achieves the highest productivities at the cost of limited yields, which is optimal only for vanishing feed costs. In other instances, the more flexible SSR concept provides larger profits. The results reveal also new optimal operating policies for SSR processes with segmented product fractions and waste streams.

提出了一种用于批处理和稳态回收（SSR）色谱的最佳设计的双层方法。在第一层上，采用有效的公式作为混合整数问题（MIP）来获得由平衡模型模拟的色谱图的最佳分馏时间。在第二级，针对参数化目标函数评估最优值。模型和优化方法的结合提供了一个计算效率很高的工具。全面的示例研究表明，批量色谱法以有限的产量为代价实现了最高的生产率，这仅对于消除饲料成本而言是最佳的。在其他情况下，更灵活的SSR概念可提供更大的利润。