Optimization and Dynamic Adjustment of Tandem Columns for Separating an Ethylbenzene–Styrene Mixture Using a Multi-Objective Particle Swarm Algorithm

Optimization and Dynamic Adjustment of Tandem Columns for Separating an Ethylbenzene–Styrene Mixture Using a Multi-Objective Particle Swarm Algorithm

This study focuses on optimizing two tandem columns to separate ethylbenzene and styrene. A steady-state model is developed to minimize total energy consumption (TEC) and total annualized cost (TAC) by optimizing the reflux flow rates. An integrated dynamic model is created using the Multi-Objective...

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Bibliographic Details
Main Authors: Guangsheng Jiang, Yibo She, Zhongwen Song, Liwen Zhao, Guilian Liu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Separations
Subjects:
separation
ethylbenzene and styrene
optimization
dynamic adjustment
fluctuation
Online Access:https://www.mdpi.com/2297-8739/12/6/161
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