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Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network

Emergency response has an important impact on the mitigation of the domino effects. However, consequence analysis of the domino effect often ignores emergency response due to its complexity and uncertainty. In this paper, Fuzzy Analytic Hierarchy Process (FAHP) is adopted to evaluate the reliability...

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Detalles Bibliográficos
Autores principales: Guo, Liping, Wang, Zhirong, Zhao, Dan, Zhao, Kun, Guo, Pinkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045569/
https://www.ncbi.nlm.nih.gov/pubmed/36730245
http://dx.doi.org/10.1371/journal.pone.0279346
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author Guo, Liping
Wang, Zhirong
Zhao, Dan
Zhao, Kun
Guo, Pinkun
author_facet Guo, Liping
Wang, Zhirong
Zhao, Dan
Zhao, Kun
Guo, Pinkun
author_sort Guo, Liping
collection PubMed
description Emergency response has an important impact on the mitigation of the domino effects. However, consequence analysis of the domino effect often ignores emergency response due to its complexity and uncertainty. In this paper, Fuzzy Analytic Hierarchy Process (FAHP) is adopted to evaluate the reliability of emergency response process. On this basis, using Bayesian Network (BN) model, the domino effect under the influence of emergency response is modeled. Based on the total duration of the above-mentioned emergency response process to determine the consequences of domino effect under the action of safety barriers. The application of the approach has been demonstrated by an illustrative case study. The results show that the probability of domino effect is reduced by an order of magnitude when active barriers, passive barriers and emergency response are considered together. This work can provide relevant basis for formulating safety protection measures in chemical process industry.
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spelling pubmed-100455692023-03-29 Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network Guo, Liping Wang, Zhirong Zhao, Dan Zhao, Kun Guo, Pinkun PLoS One Research Article Emergency response has an important impact on the mitigation of the domino effects. However, consequence analysis of the domino effect often ignores emergency response due to its complexity and uncertainty. In this paper, Fuzzy Analytic Hierarchy Process (FAHP) is adopted to evaluate the reliability of emergency response process. On this basis, using Bayesian Network (BN) model, the domino effect under the influence of emergency response is modeled. Based on the total duration of the above-mentioned emergency response process to determine the consequences of domino effect under the action of safety barriers. The application of the approach has been demonstrated by an illustrative case study. The results show that the probability of domino effect is reduced by an order of magnitude when active barriers, passive barriers and emergency response are considered together. This work can provide relevant basis for formulating safety protection measures in chemical process industry. Public Library of Science 2023-02-02 /pmc/articles/PMC10045569/ /pubmed/36730245 http://dx.doi.org/10.1371/journal.pone.0279346 Text en © 2023 Guo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guo, Liping
Wang, Zhirong
Zhao, Dan
Zhao, Kun
Guo, Pinkun
Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title_full Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title_fullStr Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title_full_unstemmed Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title_short Modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and Bayesian network
title_sort modeling the effect of emergency response on domino effects in the coal gasification process by fuzzy hierarchical analysis and bayesian network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045569/
https://www.ncbi.nlm.nih.gov/pubmed/36730245
http://dx.doi.org/10.1371/journal.pone.0279346
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