Abstract
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 operation scheme for minimising RON loss and operational risks. Firstly, many data were collected and preprocessed. Then, grey correlative degree analysis and Pearson correlation analysis were used to reduce the dimensionality, and the major variables with representativeness and independence were selected from the 367 variables. Then, the RON and sulfur (S) content were predicted by multiple nonlinear regression. A multi-objective nonlinear optimization model was established with the maximum reduction in RON loss and minimum operational risk as the objective function. Finally, the optimal operation scheme of the operating variable corresponding to the sample with a RON loss reduction greater than 30% in 325 samples was solved in Python.
Highlights
Gasoline is the main fuel for small vehicles
Our goal was to reduce the RON loss of gasoline to more than 30% under the condition that the S content was no more than 5 μg/g, so we needed to restrict the S content to less than or equal to 5 μg/g
We set the maximum value of the constraint range corresponding to operational risk as T, the RON loss reduction multi-objective nonlinear optimization model was transformed into the single-objective nonlinear model
Summary
Gasoline is the main fuel for small vehicles. The exhaust emitted from gasoline combustion has an important impact on the atmospheric environment [1,2]. In order to meet the requirements of environmental protection and reduce the emission of harmful substances in gasoline tail gas, the demand for high-octane gasoline is increasing each year. In the process of desulfurization and olefins reduction of FCC gasoline, the octane number of gasoline is generally reduced using existing technology. Take a 1 million tons/year catalytic cracking gasoline refining unit as an example, if RON loss can be reduced by 0.3 units, the economic benefit would be RMB 45 million. Kalogirou [30] presented a typical study, applying data mining methods to optimize and design engineering applications. An FCC gasoline refining desulfurization unit of Sinopec Gaoqiao Petrochemical has been running for 4 years and has accumulated large amounts of historical data. The goal of this study was to optimize and adjust the operation plan of the FCC refinery desulfurization unit in the petrochemical plant
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