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Sahraee, Mohammad Hossein | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43211 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Farhadi, Fathollah; Bozorgmehri, Ramin
  7. Abstract:
  8. In the present work, a comprehensive economic, environmental and exergy analysis and multi-objective optimization for world’s largest aromatic plant are provided and the interaction between decision variables in these criterions is discussed. In the first part, potentials of seven environmental features of the operational plant are quantified and normalized using life cycle assessment (LCA) for both process waste and utility environmental impacts. Exergy analysis (EA) is also used to determine the lowest eco-efficiency equipment. By choosing proper decision variables based on sensitivity analysis, LCA and EA results, optimization is performed to determine the best design variables based on total annual cost, environmental impact (EI) and exergy destruction objective functions individually. The optimization results demonstrate different ranges for decision variables according to each objective functions with some of them being considerable and some being close in two of trio functions. The trends of process waste environmental impacts are in conflict with utility environmental impacts in each optimization. Utility environmental impact reduction is gained in economic and exergy optimization rather than environmental optimization. In the second part multi-objective optimization is carried out and the trade-off for economic, environmental and exergy aspects is illustrated through pareto curves in four scenarios. Pareto curves indicate the deviation of each function from operational plant condition in order to achieve a sustainable process system with different economic and exergy considerations. Low product scenario is proposed as green scenario as environmental consideration is reduced up to 2/32
  9. Keywords:
  10. Process Optimization ; Exergy Analysis ; Sustainable Development ; Environmental Impact ; BTX Fractionation Process ; Life Cycle Assessment

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