Mathematical programming model of process plant safety layout using the equipment vulnerability index

Safety is the focus of attention in plant layout problems. Previous studies have often expressed safety as a cost of risk, that is, the cost of property losses that may occur in an accident. In this paper, the influence of uncertainty on the equipment vulnerability is quantitatively considered and a...

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Bibliographic Details
Published inThe Korean journal of chemical engineering Vol. 40; no. 4; pp. 727 - 739
Main Authors Guo, Liping, Wang, Zhirong, Guo, Pinkun, Wang, Jinghong, Zhao, Dan
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2023
Springer Nature B.V
한국화학공학회
Subjects
Accidents
Biotechnology
Catalysis
Chemistry
Chemistry and Materials Science
Gasification
Industrial Chemistry/Chemical Engineering
Materials Science
Mathematical analysis
Mathematical programming
Mixed integer
Plant layout
Process Safety
Process Systems Engineering
Risk levels
Safety measures
화학공학
Equipment Vulnerability Index
Decision Matrix
Mixed Integer Nonlinear Programming
Layout Optimization
Fuzzy Comprehensive Evaluation
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Summary:Safety is the focus of attention in plant layout problems. Previous studies have often expressed safety as a cost of risk, that is, the cost of property losses that may occur in an accident. In this paper, the influence of uncertainty on the equipment vulnerability is quantitatively considered and a more reliable process plant layout is proposed. The equipment vulnerability index is used to evaluate the vulnerability level of the target equipment in case of an accident, which is applied to propose a mixed-integer nonlinear optimized process plant layout to minimize domino risk. In addition, a decision matrix is applied to determine whether the risk level of the optimized layout of the target equipment is acceptable. Damage probability and vulnerability are the basic inputs of this matrix. The proposed method was applied to a coal-water slurry gasification process and the results show that the layout obtained by the proposed model has better practical value than the current layout, reducing the domino risk by 53.2%. Meanwhile, the model can be used to identify critical equipment and select targeted safety measures during the production stage.
ISSN:0256-1115
1975-7220
DOI:10.1007/s11814-022-1357-z