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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Vydáno v:	Separations Ročník 12; číslo 6; s. 161
Hlavní autoři:	Jiang, Guangsheng, She, Yibo, Song, Zhongwen, Zhao, Liwen, Liu, Guilian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.06.2025
Témata:	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
On-line přístup:	Získat plný text
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