Designing a Model for Optimizing the Production of Gasoline Products in an Oil Refinery

Document Type : Original Article

Authors

1 PhD Student, Industrial Management, Department of Humanities, Islamic Azad University, Roodehen Branch, Roodehen, Iran.

2 Assistant Professor, PhD in Industrial-Production Management, Department of Humanities, Islamic Azad University, Roodehen Branch, Roodehen, Iran.

3 Assistant Professor, PhD in Economics, Department of Humanities, Islamic Azad University, Roodehen Branch, Roodehen, Iran.

10.48301/kssa.2022.299589.1673

Abstract

The purpose of this research was to design a development model to optimize the production of gasoline products in an oil refinery. The research method was an experimental using non-linear programming with Gomes software, version 24.1.2, Solver Baron, and conducted experiments on octane number, vapor pressure, and benzene amount on slices and mixing slices in the laboratory. One of the innovations of this project is the amount of blending of cuttings effective in the production of gasoline products in different seasons of the year in such a way that the variables of octane number, vapor pressure and benzene of the final product are in accordance with the standard specifications of the National Refining and Distribution Company because currently the change of seasons is not taken into account and cuts in the production of gasoline products are made by guesswork and error. Due to the multi-objective nature of the problem, the weighted sum method was considered for the objective functions. The characteristics of octane number, vapor pressure and benzene amount of the combination of the cut values ​​obtained from the output of the software were tested in the laboratory and compared with the results of the software. Taking into consideration the very small difference between the results of the two methods, the output values ​​of the software were confirmed.

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References

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Karafan Quarterly Scientific Journal
Volume 20, Issue 3
Engineering
December 2024
Pages 617-640

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History

  • Receive Date: 09 October 2021
  • Revise Date: 01 January 2022
  • Accept Date: 08 February 2022

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