Hybrid Semi‐parametric Modeling in Separation Processes: A Review,Chemie Ingenieur Technik

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Hybrid Semi‐parametric Modeling in Separation Processes: A Review
Chemie Ingenieur Technik ( IF 1.5 ) Pub Date : 2020-05-26 , DOI: 10.1002/cite.202000025
Kevin McBride ₁ , Edgar Ivan Sanchez Medina ₂ , Kai Sundmacher _{1,

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Affiliation

Separations of mixtures play a critical role in chemical industries. Over the last century, the knowledge in the area of chemical thermodynamics and modeling of separation processes has been substantially expanded. Since the models are still not completely accurate, hybrid models can be used as an alternative that allows to retain existing knowledge and augment it using data. This paper explores some of the weaknesses in the current knowledge in separations design, simulation, optimization, and operation, and presents many examples where data‐driven and hybrid models have been used to facilitate these tasks.

中文翻译：

分离过程中的混合半参数建模：综述

混合物的分离在化学工业中起着至关重要的作用。在上个世纪，化学热力学和分离过程建模领域的知识已大大扩展。由于模型仍不完全准确，因此可以将混合模型用作替代模型，以保留现有知识并使用数据进行扩充。本文探讨了分离设计，模拟，优化和操作方面当前知识的一些弱点，并提供了许多示例，其中使用了数据驱动模型和混合模型来完成这些任务。

更新日期：2020-05-26

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