Article Details

Abstract

Integrated refining and chemical production in the petrochemical industry is an important way to improve resource utilization efficiency and economic benefit. Traditional methods usually treat refining production and chemical production as two independent processes for configuration optimization, lacking overall coordination and optimization of the global production process. This paper proposes an integrated optimization model for refining and chemical processes to collaboratively optimize the whole process scheduling decision variables. At the same time, in order to improve the executability of scheduling results, scheduling expert experience rules are integrated into the model. A Mixed Integer Linear Programming model is established based on discrete time, and the efficient solution of the model is realized by optimizing and adjusting the coupling relationship of variables. The results show that the proposed integrated refining-chemical production scheduling optimization model performs well in solving efficiency and result rationality, providing a feasible scheduling optimization strategy for the intelligent development of integrated refining and chemical production.

Keywords

refining-chemical integration; scheduling optimization model; Mixed Integer Linear Programming; scheduling expert rule

References

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Funding

Research Project on Solutions and Scheduling Optimization Technology for Refining and Chemical Intelligent Factory (KY2024YF0014)

About the authors

Yang Hui (1989-), male, Han ethnicity, from Wuhu, Anhui Province, is an engineer with a master's degree. His research direction is refinery production optimization technology.