Please use this identifier to cite or link to this item:
|Title:||Multiobjective optimization of cold-end separation process in an ethylene plant|
|Source:||Pandey, S., Rangaiah, G.P. (2013-12-04). Multiobjective optimization of cold-end separation process in an ethylene plant. Industrial and Engineering Chemistry Research 52 (48) : 17229-17240. ScholarBank@NUS Repository. https://doi.org/10.1021/ie4027764|
|Abstract:||Ethylene and propylene separation from the mixture produced by steam cracking of saturated hydrocarbons is a highly energy-intensive process. In this, plant operators face several problems due to changes in feedstock, loss of ethylene and propylene with other streams in intermediate columns, varying demand for ethylene and propylene, and higher utility consumption. Plants need to adjust the operating conditions to maximize profit while meeting the product demand and specifications. In order to maximize profit, it is important to reduce losses as well as energy requirements, which are conflicting and require multiobjective optimization (MOO). In this study, cold-end separation process of an ethylene plant is simulated in Aspen Hysys, and the simulation model is validated with typical design data. Then, using this model, MOO of the cold-end separation system is studied using the elitist nondominated sorting genetic algorithm. It is shown that the plant can be operated at different optimal conditions, each of which involves some trade-off among the objectives of interest. © 2013 American Chemical Society.|
|Source Title:||Industrial and Engineering Chemistry Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 13, 2018
WEB OF SCIENCETM
checked on Jan 10, 2018
checked on Feb 4, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.