Investigations into Optimization Models of Crude Oil Distillation Column in the Context of Feed Stock and Market Value
Affiliation(s)
Department of Petroleum and Chemical Engineering, Afe Babalola University, Ado-Ekiti, Nigeria. 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. Department of Chemical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. Department of Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.
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_%7Bo%7D)
and light key in the bottom _%7Bo%7D)
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 [)
_%7Bss%7D)
], heavy key in the bottom [)
_%7Bss%7D)
] 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.
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
Cite this paper
L. T. Popoola, J. A. Adeniran and S. O. Akinola, "Investigations into Optimization Models of Crude Oil Distillation Column in the Context of Feed Stock and Market Value," Advances in Chemical Engineering and Science, Vol. 2 No. 4, 2012, pp. 474-480. doi: 10.4236/aces.2012.24058.
L. T. Popoola, J. A. Adeniran and S. O. Akinola, "Investigations into Optimization Models of Crude Oil Distillation Column in the Context of Feed Stock and Market Value," Advances in Chemical Engineering and Science, Vol. 2 No. 4, 2012, pp. 474-480. doi: 10.4236/aces.2012.24058.
References
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[1] J. G. Kunesh, T. P. Ognisty, M. Sagata and G. X. Chen, AIChE Spring National Meeting, Atlanta, 1994. [2] K. H. Bawazeer, “Prediction of Crude Oil Product Quality Parameters Using Neural Networks,” M.S. Thesis, Florida Atlantic University, Boca Raton, 1996. [3] W. Heather, “Refining Crude Oil,” The New Zealand Refining Company Ltd., Whangarei, 2003. [4] Z. E. H. Tonnang, “Distillation Column Control Using Artificial Neural Networks,” M.Sc. Thesis, University of Ibadan, Ibadan, 2003. [5] B. Liptak, “Distillation Control and Optimization,” 2009. www.controlglobal.com [6] D. C. López, C. A. Mahecha, L. J. Hoyos, L. Acevedo and J. F. Villamizar, “Optimization Model of a System of Crude Oil Distillation Units with Heat Integration and Metamodeling,” CT & F—Ciencia, Tecnología y Futuro, Vol. 3, No. 5, 2009, pp. 159-173. [7] J. J. Yu, C. H. Zhou, S. Tan and C. C. Hang, “An On-Line Soft-Sensor for Control and Optimization of Crude Distillation Column,” Research Institute of Industrial Process Control, Hangzhou, 1997. [8] M. Gadalla, M. Jobson and M. Smith, “Optimisation of Existing Heat-Integrated Refinery Distillation Systems,” Ph.D. Thesis, University of Manchester Institute of Science and Technology (UMIST), Manchester, 2002. [9] E. O. Okeke and A. A. Osakwe-Akofe, “Optimization of a Refinery Crude Distillation Unit in the Context of Total Energy Requirement,” NNPC R&D Division, Port Harcourt, 2003. [10] P. Domijan and D. Kalpi?, “Off-Line Energy Optimization Model for Crude Distillation Unit,” Ph.D. Thesis, University of Zagreb, Croatia, 2005. [11] A. Fazlali, S. Hosseini, B. Yasini and A. Moghadassi, “Optimization of Operating Conditions of Distillation Columns: An Energy Saving Option in Refinery Industry,” Songklanakarin Journal of Science and Technology, Vol. 31, No. 6, 2009, pp. 661-664. [12] N. kozarev, F. Keil and S. Stoyanov, “Computer Aided Steady State Control of Crude Oil Distillation,” Journal of the University of Chemical Technology and Metallurgy, Vol. 45, No. 4, 2010, pp. 401-406. [13] A. Benyoucef, “Oil Refining Planning under Price and Demand Uncertainties: Case of Algeria,” 29th USAEE/ IAEE North America Conference, Calgary, 14-16 October 2010, pp. 1-19. [14] M. K. Hassan, A. Kandeil and A. Elkhayat, “Improving Oil Refinery Productivity through Enhanced Crude Blending Using Linear Programming Modelling,” Asian Journal of Scientific Research, Vol. 4, No. 2, 2011, pp. 95-113. doi:10.3923/ajsr.2011.95.113