Process plant layout optimization with uncertainty and considering risk
| Autor: | Nima Khakzad, Seyyed Ebrahim Latifi, Emran Mohammadi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Engineering Mathematical optimization business.industry Process (engineering) General Chemical Engineering Process plant Oil refinery 0211 other engineering and technologies 02 engineering and technology Refinery Domino Computer Science Applications Reduction (complexity) 020401 chemical engineering 0204 chemical engineering business Metaheuristic Simulation Integer (computer science) |
| Zdroj: | Computers & Chemical Engineering. 106:224-242 |
| ISSN: | 0098-1354 |
| DOI: | 10.1016/j.compchemeng.2017.05.022 |
| Popis: | Facility layout is an important factor in designing of process plants such as petrochemical units and refineries. An appropriate design of layout ensures proper performance of corresponding departments as well as providing an equilibrium between large number and sometimes inconsistent structural design constraints. In this research, a mixed integer non-linear programming (MINLP) formulation is proposed for process plant layout problem, considering the toxic release risk and possible scenarios of fire, explosion and the domino effects of them. Then the Bat metaheuristic algorithm was employed to solve it. Finally, the model was implemented on 6th refinery, unit 101 of Iran's South Pars gas field, and the results showed the effectiveness of the model, in costs reduction and safety improvement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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