Issue |
MATEC Web of Conferences
Volume 62, 2016
2016 3rd International Conference on Chemical and Food Engineering
|
|
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Article Number | 04004 | |
Number of page(s) | 6 | |
Section | Chemistry Engineering | |
DOI | https://doi.org/10.1051/matecconf/20166204004 | |
Published online | 28 June 2016 |
Semi-mechanistic Model Applied to the Search for Economically Optimal Conditions and Blending of Gasoline Feedstock for Steam-cracking Process
1 Unipetrol Centre of Research and Education (UniCRE), Areal Chempark, 43670 Litvinov, Czech Republic
2 University of Chemistry and Technology Prague, Department of Organic Technology, Technicka 5, 166 28 Prague 6 - Dejvice, Czech Republic
3 Unipetrol RPA, Záluží 1, 43670 Litvinov, Czech Republic
a Corresponding author: adam.karaba@vscht.cz
b Corresponding author: petr.zamostny@vscht.cz
Steam-cracking is energetically intensive large-scaled process which transforms a wide range of hydrocarbons feedstock to petrochemical products. The dependence of products yields on feedstock composition and reaction conditions has been successfully described by mathematical models which are very useful tools for the optimization of cracker operation. Remaining problem is to formulate objective function for such an optimization. Quantitative criterion based on the process economy is proposed in this paper. Previously developed and verified industrial steam-cracking semi-mechanistic model is utilized as supporting tool for economic evaluation of selected gasoline feedstock. Economic criterion is established as the difference between value of products obtained by cracking of studied feedstock under given conditions and the value of products obtained by cracking of reference feedstock under reference conditions. As an example of method utilization, optimal reaction conditions were searched for each of selected feedstock. Potential benefit of individual cracking and cracking of grouped feedstocks in the contrast to cracking under the middle of optimums is evaluated and also compared to cracking under usual conditions.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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