A risk-based approach to identify safety-critical equipment in process industries

Establishing safety-critical equipment (SCE) in process industries is essential to reduce the risk of catastrophic accidents due to equipment failure. Despite the significant role of risk in the definition of SCE, there are still challenges to identifying and prioritizing risk-based SCE that require...

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Main Authors: Reza Ghasemi Pirbalouti, Behrouz Behnam, Mohammadreza Karimi Dehkordi
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023005753
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author Reza Ghasemi Pirbalouti
Behrouz Behnam
Mohammadreza Karimi Dehkordi
author_facet Reza Ghasemi Pirbalouti
Behrouz Behnam
Mohammadreza Karimi Dehkordi
author_sort Reza Ghasemi Pirbalouti
collection DOAJ
description Establishing safety-critical equipment (SCE) in process industries is essential to reduce the risk of catastrophic accidents due to equipment failure. Despite the significant role of risk in the definition of SCE, there are still challenges to identifying and prioritizing risk-based SCE that require further investigation. To address the current gap, a quantitative risk-based approach is presented to identify and prioritize SCE. To do this, Hazard and operability study (HAZOP) is employed for hazard identification; the Bow-tie model and Bayesian network are used for probabilistic cause-consequence analysis, and consequence modelling is used to complete the risk-based approach. The approach here not only aids in making the system more reliable by recognizing the equipment and barriers that reduce the risk of major accidents, but it also aids in the development of maintenance management by reducing the associated costs. The proposed framework then is employed to identify and rank SCE in a high-toxicity petrochemical processing unit. The results show that there are 9 major accident scenarios in the studied unit. As well, rapture in the Phosgene absorber tower 36611 is the worst scenario with a fatality number of 247 and a probability of 0.01/yr. Also, the results indicate that 22 pieces of equipment have the highest safety criticality rating and need more attention in the maintenance plan.
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spelling doaj.art-fdf0b544bcc84dc2a018bb33d112862f2023-12-20T07:35:45ZengElsevierResults in Engineering2590-12302023-12-0120101448A risk-based approach to identify safety-critical equipment in process industriesReza Ghasemi Pirbalouti0Behrouz Behnam1Mohammadreza Karimi Dehkordi2School of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, IranCorresponding author.; School of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, IranSchool of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, IranEstablishing safety-critical equipment (SCE) in process industries is essential to reduce the risk of catastrophic accidents due to equipment failure. Despite the significant role of risk in the definition of SCE, there are still challenges to identifying and prioritizing risk-based SCE that require further investigation. To address the current gap, a quantitative risk-based approach is presented to identify and prioritize SCE. To do this, Hazard and operability study (HAZOP) is employed for hazard identification; the Bow-tie model and Bayesian network are used for probabilistic cause-consequence analysis, and consequence modelling is used to complete the risk-based approach. The approach here not only aids in making the system more reliable by recognizing the equipment and barriers that reduce the risk of major accidents, but it also aids in the development of maintenance management by reducing the associated costs. The proposed framework then is employed to identify and rank SCE in a high-toxicity petrochemical processing unit. The results show that there are 9 major accident scenarios in the studied unit. As well, rapture in the Phosgene absorber tower 36611 is the worst scenario with a fatality number of 247 and a probability of 0.01/yr. Also, the results indicate that 22 pieces of equipment have the highest safety criticality rating and need more attention in the maintenance plan.http://www.sciencedirect.com/science/article/pii/S2590123023005753Process industriesSafety-critical equipmentRisk-based approachAsset integrity managementPhosgene leakage
spellingShingle Reza Ghasemi Pirbalouti
Behrouz Behnam
Mohammadreza Karimi Dehkordi
A risk-based approach to identify safety-critical equipment in process industries
Results in Engineering
Process industries
Safety-critical equipment
Risk-based approach
Asset integrity management
Phosgene leakage
title A risk-based approach to identify safety-critical equipment in process industries
title_full A risk-based approach to identify safety-critical equipment in process industries
title_fullStr A risk-based approach to identify safety-critical equipment in process industries
title_full_unstemmed A risk-based approach to identify safety-critical equipment in process industries
title_short A risk-based approach to identify safety-critical equipment in process industries
title_sort risk based approach to identify safety critical equipment in process industries
topic Process industries
Safety-critical equipment
Risk-based approach
Asset integrity management
Phosgene leakage
url http://www.sciencedirect.com/science/article/pii/S2590123023005753
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AT rezaghasemipirbalouti riskbasedapproachtoidentifysafetycriticalequipmentinprocessindustries
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