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MINLP Model for Synthesis of Paraxylene Separation Processes Based on Crystallization Technology

机译:基于结晶技术的基亚亚苯分离过程合成MINLP模型

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In this paper we address the development of an MINLP optimization model for the synthesis of paraxylene separation processes based on crystallization technology.A superstructure is proposed that considers different alternative designs and operating conditions for the recovery of a high purity paraxylene product from a feed stream containing other xylene isomers and ethylbenzene.The goal is to maximize the overall annual profitability of the process,including capital and operating cost as well as product revenues.Due to the large size of the MINLP model,as well as the great difficulty in converging the corresponding equations,a solution strategy based on initialization models for the topology and the operating conditions is described to enhance the robustness of the optimization method.Application of the proposed model yields flowsheet designs with improved savings in capital and utilities cost.
机译:在本文中,我们解决了基于结晶技术的基于结晶技术合成的MINLP优化模型的开发。提出了一种上层建筑,其考虑了来自含有进料流的高纯度仲亚丙烷的不同替代设计和操作条件。其他二甲苯异构体和乙苯。目标是最大限度地提高该过程的整体盈利能力,包括资本和运营成本以及产品revenues.due到大尺寸的MINLP模型,以及融合相应的困难方程式,基于拓扑结构和操作条件的基于初始化模型的解决方案策略来增强优化方法的鲁棒性。所提出的模型的应用产生了流程设计,并提高了资本和公用事业成本的节省。

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