Please use this identifier to cite or link to this item: https://doi.org/10.1021/ie050423f
Title: Modeling, simulation, and multi-objective optimization of an industrial hydrocracking unit
Authors: Bhutani, N.
Ray, A.K. 
Rangaiah, G.P. 
Issue Date: 15-Feb-2006
Citation: Bhutani, N., Ray, A.K., Rangaiah, G.P. (2006-02-15). Modeling, simulation, and multi-objective optimization of an industrial hydrocracking unit. Industrial and Engineering Chemistry Research 45 (4) : 1354-1372. ScholarBank@NUS Repository. https://doi.org/10.1021/ie050423f
Abstract: Hydrocracking is a petroleum refining process where cracking occurs simultaneously with hydrogenation to convert heavy petroleum feedstocks into desired lighter products. In this study, multi-objective optimization of an industrial hydrocracking unit has been performed for the first time, to find scope for further improvements and to provide a range of optimal solutions. The reactor model was simulated based on a discrete lumped model approach to kinetic modeling. The kinetic and product distribution parameters were fine-tuned using available industrial data. The real-coded elitist nondominated sorting genetic algorithm was used to carry out the multi-objective optimization study. The Pareto-optimal solutions for the hydrocracker unit are presented, and their significant features are discussed. © 2006 American Chemical Society.
Source Title: Industrial and Engineering Chemistry Research
URI: http://scholarbank.nus.edu.sg/handle/10635/89453
ISSN: 08885885
DOI: 10.1021/ie050423f
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