@inproceedings{9b3486688bc840f08bccf8ffc5dfe58b,
title = "Genetic algorithm approach for optimal control of air emissions from an oil refinery",
abstract = "A genetic algorithm approach was used to determine the suitable air emission control option for different sources within a refinery. A case study was considered using a typical simple refinery layout as an example. Ten different sources were identified and their emissions were reported. The maximum concentration of SO2, NOx, and CO on the ground level before and after considering control options was calculated. The concentrations of pollutants were reduced over 90\% and were all below the standard value. A significant decrease in the emissions was noticed when control options were implemented. This is an abstract of a paper presented at the 2013 AIChE Spring Meeting \& 9th Global Congress on Process Safety (San Antonio, TX 4/28-5/2/2013).",
keywords = "Air emissions, Genetic algorithm, Oil refinery",
author = "Ba-Shammakh, \{Mohammed S.\}",
year = "2013",
language = "English",
isbn = "9780816910755",
series = "AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings",
booktitle = "AIChE 2013 - 2013 AIChE Spring Meeting and 9th Global Congress on Process Safety, Conference Proceedings",
}