LAPSE:2023.1032
Published Article
LAPSE:2023.1032
Benzene Reduction Process Simulation and Optimization in Catalytic Cracking Gasoline Distillation
Zijian Wang, Ming Ke, Zhaozheng Song, Jiahan Li, Jinru Sun
February 21, 2023
For countries where catalytic cracking gasoline is the primary source, the proposed technology consists in separating a benzene-rich fraction from catalytic cracking gasoline in order to be processed further together with reforming gasoline in a unit dedicated to aromatics extraction. In this way, two benefits are obtained: a benzene-rich fraction as raw material for extraction and the leftover fraction that satisfies the benzene content standards as a qualified product. It is established to use the divided wall distillation model, single-column distillation model, and double-column distillation model. Sensitivity analysis and SQP optimization are used to identify the ideal operating conditions and gasoline yield. Economic research shows that the divided wall and single-column distillation models have more potential for growth. It offers theoretical direction for businesses to design and optimize the pertinent process.
Keywords
benzene, conventional column, divided wall column, Gasoline, SQP algorithm
Suggested Citation
Wang Z, Ke M, Song Z, Li J, Sun J. Benzene Reduction Process Simulation and Optimization in Catalytic Cracking Gasoline Distillation. (2023). LAPSE:2023.1032
Author Affiliations
Wang Z: School of Science, China University of Petroleum (Beijing), Beijing 102249, China
Ke M: School of Science, China University of Petroleum (Beijing), Beijing 102249, China
Song Z: School of Science, China University of Petroleum (Beijing), Beijing 102249, China
Li J: School of Science, China University of Petroleum (Beijing), Beijing 102249, China
Sun J: School of Science, China University of Petroleum (Beijing), Beijing 102249, China
Journal Name
Processes
Volume
11
Issue
1
First Page
151
Year
2023
Publication Date
2023-01-04
Published Version
ISSN
2227-9717
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PII: pr11010151, Publication Type: Journal Article
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LAPSE:2023.1032
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doi:10.3390/pr11010151
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Feb 21, 2023
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