Process plant layout optimization with uncertainty and considering risk

Seyyed Ebrahim Latifi; Emran Mohammadi; N. Khakzad

doi:10.1016/j.compchemeng.2017.05.022

Process plant layout optimization with uncertainty and considering risk

Seyyed Ebrahim Latifi, Emran Mohammadi, N. Khakzad

Safety and Security Science

Research output: Contribution to journal › Article › Scientific › peer-review

34 Citations (Scopus)

Abstract

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

Original language	English
Pages (from-to)	224-242
Journal	Computers & Chemical Engineering
Volume	106
DOIs	https://doi.org/10.1016/j.compchemeng.2017.05.022
Publication status	Published - 2017

Keywords

Process plant layout
Toxic release
Fire and explosion scenarios
Domino effect
Risk assessment

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10.1016/j.compchemeng.2017.05.022

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title = "Process plant layout optimization with uncertainty and considering risk",

abstract = "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",

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author = "Latifi, {Seyyed Ebrahim} and Emran Mohammadi and N. Khakzad",

year = "2017",

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journal = "Computers & Chemical Engineering",

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T1 - Process plant layout optimization with uncertainty and considering risk

AU - Latifi, Seyyed Ebrahim

AU - Mohammadi, Emran

AU - Khakzad, N.

PY - 2017

Y1 - 2017

N2 - 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

AB - 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

KW - Process plant layout

KW - Toxic release

KW - Fire and explosion scenarios

KW - Domino effect

KW - Risk assessment

U2 - 10.1016/j.compchemeng.2017.05.022

DO - 10.1016/j.compchemeng.2017.05.022

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SN - 0098-1354

VL - 106

SP - 224

EP - 242

JO - Computers & Chemical Engineering

JF - Computers & Chemical Engineering

ER -

Process plant layout optimization with uncertainty and considering risk

Abstract

Keywords

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