Investigations into Optimization Models of Crude Oil Distillation Column in the Context of Feed Stock and Market Value

Lekan T. Popoola, Jamiu A. Adeniran, Solomon O. Akinola

Department of Chemical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
Department of Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.
Department of Petroleum and Chemical Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.

DOI: 10.4236/aces.2012.24058                

Abstract

This paper proposes optimization models of crude oil distillation column for both limited and unlimited feed stock and market value of known products prices. The feed to the crude distillation column was assumed to be crude oil containing naphtha gas, kerosene, petrol and diesel as the light-light key, light key, heavy key and heavy-heavy key respectively. The models determined maximum concentrations of heavy key in the distillate and light key in the bottom for limited feed stock and market condition. Both were impurities in their respective positions of the column. The limiting constraints were sales specification concentration of light key in the distillate [ ], heavy key in the bottom [ ] and an operating loading constraint of flooding above the feed tray. For unlimited feed stock and market condition, the optimization models determined the optimum separation [ and ] and feed flow rate that would give maximum profit with minimum purity sales specification constraints of light key in the distillate and heavy key in the bottom as stated above. The feed loading was limited by the reboiler capacity. However, there is need to simulate the optimization models for an existing crude oil distillation column of a refinery in order to validate the models.

Keywords

Feed Stock; Crude Oil Distillation Column; Constraints; Market Condition; Reboiler; Crude Composition; Optimization

Conflicts of Interest

The authors declare no conflicts of interest.

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