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...

Full description

Saved in:

Bibliographic Details
Published in:	Separations Vol. 12; no. 6; p. 161
Main Authors:	Jiang, Guangsheng, She, Yibo, Song, Zhongwen, Zhao, Liwen, Liu, Guilian
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2025
Subjects:	Algorithms Amplitudes Capital costs Coal Cooling Cost control Design optimization dynamic adjustment Dynamic models Efficiency Emissions Emissions (Pollution) Energy consumption Energy efficiency Ethylbenzene ethylbenzene and styrene Flow velocity fluctuation Genetic algorithms Heat Mathematical optimization Multiple objective analysis optimization Pareto optimum Particle swarm optimization Payback periods separation Steady state models Styrenes Temperature United States
ISSN:	2297-8739, 2297-8739
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!