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A Heuristic Framework with Mathematical Modeling for Inherently Safe Design of Chemical Process with Sustainability Assessment of Case Study

Daliri, Reza | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51341 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Rashtchian, Davoud
  7. Abstract:
  8. Inherently safer design is the new approach to maximize the overall safety of a process plant. This approach suggests some risk reduction strategies to be implemented in the early stages of design. There are different well-established strategies for making a process plant inherently safer. The benefits of applying these strategies on reducing the overall risk inside a plant are obvious. However, some of these changes are rejected many times because they appear to be too costly. But if the effects of applying inherently safer design strategies are investigated not only on the processing costs of a plant but also on the potential accident costs, the decision would in fact be different. In this research, multi objective optimization procedure is proposed which integrates both processing and accident costs for different design schemes of ethylene oxide production unit as a case study. The objective functions were the risk level, including the severity and the frequency of the accidents, which were associated with the hazards in the network and the economic profit of the process. Based on this optimization approach, an array of optimal solutions (called Pareto front) was obtained as a trade-off between the objectives under investigation. A final design point was ultimately selected using Shannon's entropy techniques of decision making in a fuzzy environment. Results of the multi objective optimization showed that the current condition of unit was between the economic profit condition and inherent safer condition, but closer to the inherent safer condition. However some changes are needed to achieve optimal inherently safe condition
  9. Keywords:
  10. Multiobjective Optimization ; Inherenly Safer Optimum Design ; Process Plants ; Ethylene Oxide Unit

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