Multi-Objective Nonlinear Programming Model for Reducing Octane Number Loss in Gasoline Refining Process Based on Data Mining Technology

Multi-Objective Nonlinear Programming Model for Reducing Octane Number Loss in Gasoline Refining Process Based on Data Mining Technology

To simultaneously reduce automobile exhaust pollution to the environment and satisfy the demand for high-quality gasoline, the treatment of fluid catalytic cracking (FCC) gasoline is urgently needed to minimize octane number (RON) loss. We presented a new systematic method for determining an optimal...

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Bibliographic Details
Main Authors: Xiao Liu, Yilai Liu, Xuejun He, Min Xiao, Tao Jiang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Processes
Subjects:
FCC
RON
grey relational analysis
nonlinear regression
multi-objective nonlinear optimization
Online Access:https://www.mdpi.com/2227-9717/9/4/721

Internet

https://www.mdpi.com/2227-9717/9/4/721

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