A Signed Digraphs Based Method for Detecting Inherently Unsafe Factors of Chemical Process at Conceptual Design Stage

Digraph-based causal models have been widely used to model the cause and effect behavior of process systems. Signed digraphs (SDG) capture the direction of the effect. It should be mentioned that there are loops in SDG generated from chemical process. From the point of the inherent operability, the...

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Bibliographic Details
Published inChinese journal of chemical engineering Vol. 16; no. 1; pp. 52 - 56
Main Author 王杭州 陈丙珍 何小荣 邱彤 章龙江
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2008
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ISSN1004-9541
2210-321X
DOI10.1016/S1004-9541(08)60036-1

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Summary:Digraph-based causal models have been widely used to model the cause and effect behavior of process systems. Signed digraphs (SDG) capture the direction of the effect. It should be mentioned that there are loops in SDG generated from chemical process. From the point of the inherent operability, the worst unsafe factor is the SDG having positive loops that means any disturbance occurring within the loop will propagate through the nodes one by one and are amplified gradually, so the system may lose control, which may lead to an accident. So finding the positive loops in a SDG and treating these unsafe factors in a proper manner can improve the inherent safety of a chemical process. This article proposed a method that can detect the above-mentioned unsafe factors in the proc- ess conceptual design stage automatically through the analysis of the SDG generated from the chemical process. A case study is illustrated to show the working of the algorithm, and then a complicated case from industry is studied to depict the effectiveness of the proposed algorithm.
Bibliography:TQ02
11-3270/TQ
signed digraphs, inherent safety, conceptual design
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ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(08)60036-1