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Optimal startup operation of simulated moving bed chromatographic processes

机译:模拟运动床色谱过程的最佳启动操作

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SMB represents one of the widely established periodic adsorption processes and its periodic and nonlinear dynamics presents a significant challenge to the formulation and solution of the optimal startup issue. A multistage startup concept allowing to adjust operating conditions stage-wise is proposed. The startup problem is then formulated aiming at driving the system towards the reference cyclic steady state (CSS) in an optimum manner. A tailored decomposition algorithm is developed to tackle the resulting optimization problem and guarantee numerical tractability. The feasibility of the solution approach is demonstrated on a binary separation with nonlinear competitive isotherms. It is found that the new startup policy dramatically reduces transient time and desorbent consumption. The startup performance in terms of product concentration and purity is also evaluated quantitatively.
机译:SMB表示广泛建立的周期性吸附过程之一,其周期性和非线性动力学对最佳启动问题的配方和解决方案具有重大挑战。提出了一种允许调整操作条件阶段明智的多级启动概念。然后制定起动问题,其旨在以最佳方式将系统驱动朝向参考循环稳态(CSS)。开发了一种定制的分解算法以解决所产生的优化问题,保证数值易行性。在与非线性竞争等温线的二进制分离上证明了解决方案方法的可行性。结果发现,新的启动策略显着降低了瞬态时间和解吸剂消耗。在产品浓度和纯度方面的起动性能也定量评估。

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