DocumentCode :
685207
Title :
Maximization of conversion in fluid catalytic cracker
Author :
AlKaabneh, Faisal ; Alkawaleet, Nasir ; Lubega, William
Author_Institution :
Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
fYear :
2013
fDate :
28-30 Oct. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Fluid Catalytic Cracking is the dominant technology for converting high molecular weight hydrocarbons into more commercially valuable products such as LPG and gasoline. About 45 percent of worldwide gasoline production comes from FCC process and its ancillary units. Despite being a very mature technology, continued development is vital due to growing demand for refinery products combined with the decreasing quality of crude oils and tighter product specifications arising from environmental constraints. Due to its multivariable and nonlinear characteristics, however, how to best control and optimize the FCC unit is considered a challenging problem. This work presents an optimization approach for FCC unit profit based on the prices of Gasoline, Propane, Butane, and Light Cycle Oil/Heavy Cycle Oil (LCO/HCO), for the maximization of FCC unit profit via mathematical programming. To carry out the optimization process first, the mathematical model was developed for the yields of FCC process different process units. Then, the set of on the the regression models provided by Stratiev and Dinkov[11] were used as model constraints. This mathematical model was tested on different data sets to show the effectiveness of the model in providing the optimal FCC process setting for different data sets, the data sets represent different prices of the FCC products, namely Gasoline, Propane, Butane, and Light Cycle Oil/Heavy Cycle Oil (LCO/HCO).
Keywords :
crude oil; hydrocarbon reservoirs; mathematical programming; oil refining; petroleum; pyrolysis; regression analysis; FCC process; FCC unit profit maximization; LCO-HCO; butane; crude oil quality; fluid catalytic cracker; high molecular weight hydrocarbon; light cycle oil-heavy cycle oil; mathematical model; mathematical programming; propane; refinery products; regression model; worldwide gasoline production; Biological system modeling; FCC; Feeds; Inductors; Mathematical model; Optimization; Petroleum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on
Conference_Location :
Rabat
Type :
conf
Filename :
6761450
Link To Document :
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