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View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Waterloo's Institutional Repository Green Petroleum Refining - Mathematical Models for Optimizing Petroleum Refining Under Emission Constraints by Yusuf Ali Yusuf A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Applied Science in Chemical Engineering Waterloo, Ontario, Canada, 2013 © Yusuf Ali Yusuf 2013 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract Petroleum refining processes provide the daily requirements of energy for the global market. Each refining process produces wastes that have the capacity to harm the environment if not properly disposed of. The treatment of refinery waste is one of the most complex issues faced by refinery managers. Also, the hazardous nature of these wastes makes them rather costly to dispose of for the refineries. In this thesis, system analysis tools are used to design a program that allows for the selection of the optimal control, minimization and treating options for petroleum refinery waste streams. The performance of the developed model is demonstrated via a case study. Optimal mitigation alternatives to meet the emission reduction targets were studied by evaluating their relative impact on the profitable operation of the given facility. It was found that the optimal mitigation steps was to reduce emission precursors by conducting feed switches at the refinery. In all cases, the optimal solution did not include a capital expansion of the emission control facilities and equipment. iii Acknowledgments I would like to express my deepest appreciation to all those who provided me with the opportunity to complete this study. I am specially greatful to the guidance provided by my advisor Dr. Ali Elkamel. His wisdom, insight and judgment were crucial in my ability to meet the objectives of this study. I would also like to extend a special acknowledgments to my reviewers and examiners. I would like to thank the University of Waterloo for providing me with the arena for my studies. iv
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