LAPSE:2020.0134
Published Article
LAPSE:2020.0134
Modeling and Simulation of Reaction and Fractionation Systems for the Industrial Residue Hydrotreating Process
Yalin Wang, Dandan Shang, Xiaofeng Yuan, Yongfei Xue, Jiazhou Sun
February 2, 2020
The residue hydrotreating process plays a significant role in the petroleum refining industry. In this process, modeling and simulation have critical importance for process development, control, and optimization. However, there is a lack of relevant reports of plant scale due to complexity in characterizing feedstock and determining reaction mechanisms. In this paper, reaction and fractionation models are constructed and simulated for a real-life industrial residue hydrotreating process based on Aspen HYSYS/Refining. Considering the heavier and inferior residue, analytical characterization is carried out for feedstock characterization based on laboratory analysis data. Moreover, two reactor models with parallel structures are proposed to implement the intricate reaction network, namely, a hydrocracker reactor and a plug flow reactor. The former simulates lighter petroleum hydrotreating based on the built-in reaction network. The latter emulates the conversion of a peculiar, heavier resin and asphaltene, using a six-lump model, which expands the scope of the feedstock and improves the accuracy of the model. To obtain a realistic simulation of fractionation, the database-based delumping method is adopted to model it with proper pseudo-components. The simulation results, including temperature rise, hydrogen consumption, temperature distribution, product yield, product properties, indicate that the model is capable of reflecting the realistic process accurately.
Keywords
asphaltene conversion, database-based delumping, feedstock characterization, parallel structure reactors, residue hydroconversion model
Suggested Citation
Wang Y, Shang D, Yuan X, Xue Y, Sun J. Modeling and Simulation of Reaction and Fractionation Systems for the Industrial Residue Hydrotreating Process. (2020). LAPSE:2020.0134
Author Affiliations
Wang Y: School of Automation, Central South University, No. 932 of South Lushan Road, Changsha 410083, China
Shang D: School of Automation, Central South University, No. 932 of South Lushan Road, Changsha 410083, China
Yuan X: School of Automation, Central South University, No. 932 of South Lushan Road, Changsha 410083, China [ORCID]
Xue Y: School of Automation, Central South University, No. 932 of South Lushan Road, Changsha 410083, China [ORCID]
Sun J: School of Automation, Central South University, No. 932 of South Lushan Road, Changsha 410083, China
Journal Name
Processes
Volume
8
Issue
1
Article Number
E32
Year
2019
Publication Date
2019-12-27
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8010032, Publication Type: Journal Article
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LAPSE:2020.0134
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doi:10.3390/pr8010032
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Feb 2, 2020
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Calvin Tsay
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