A mathematical programming model for achieving total emission control in the petroleum refining industry
by H. Al-Ali, K. Al-Qahtani, A. Elkamel
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 1, No. 4, 2008

Abstract: This paper addresses the planning and optimisation of a petroleum refinery with consideration to multiple pollutants and greenhouse gases reduction alternatives. The study provides a tool that can be utilised for optimum pollution and greenhouse gases control strategy to achieve a given reduction level. The proposed method is based on a mathematical programming model whose performance is demonstrated through an industrial scale refinery case study with various emissions including sulphur dioxide, nitrogen oxides and CO₂. The optimal mitigation alternatives were determined by economic and market analysis, given a stated set of policy priorities. The conflicting objectives due to reducing the different emissions in the model illustrated the importance of using a common purpose model for studying different alternatives for reducing emissions and meeting future environmental regulations. It was found that a decrease of 60% in the overall pollutants and greenhouse gases from the refinery furnaces can be achieved with a cost increase of only 7.4%. [Received: October 18, 2007; Accepted: April 17, 2008]

Online publication date: Fri, 19-Sep-2008

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