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Gas sweetening process optimization with economic, Exergy and Environmental criteria

Ehsani, Hojjat Allah | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45297 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Farhadi, Fathollah; Bozorg Mehri, Ramin
  7. Abstract:
  8. In the present work, a comprehensive economic, environmental and exergy analysis and multi-objective optimization for gas sweetening plant are provided and the interaction between decision variables in these criterions is discussed. In the first part, potentials of three environmental features (global warming, acid rain, smog formation) of the operational plant are quantified and normalized using life cycle assessment (LCA) for both process waste and utility environmental impacts.Acid rain index is determined as the most important environmental impactindex in this unit. 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 change 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. In single objective optimizations, annual operating cost, annual environmental impact and exergy change objective functions are enhanced 7.56%, 58% and 20.9% in sequence, compared to design case conditions. In the second part multi-objective optimization is carried out by Genetic Algorithm (GA) 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. In multi objective optimizations, economic, environmental and exergy scenarios are diminished as following: 3.3%, 0.35% and 7.7% in annual operating cost, annual environmental impact and exergy change compared to single objective optimizations
  9. Keywords:
  10. Sustainable Development ; Life Cycle Assessment ; Sulfur Recovery ; Exergy Analysis ; Genetic Algorithm ; Gas Sweetening ; Environmental Impact

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