Volume 11, Issue 3 (Autumn 2024)
johe 2024, 11(3): 181-195 |
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Research code: 140304122882
Ethics code: IR.UMSHA.REC.1403.211
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Mirzaei Aliabadi M, Kalatpour O, Mirzai M, Mahmoudi R. Risk Assessment of Hydrogen Gasholder using Fault Tree Analysis and Fuzzy Bayesian Network. johe 2024; 11 (3) : 2
URL: http://johe.umsha.ac.ir/article-1-958-en.html
URL: http://johe.umsha.ac.ir/article-1-958-en.html
1- Department of Occupational Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2- Department of Occupational Health Engineering, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Occupational Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran ,mahmoudirz78@gmail.com
2- Department of Occupational Health Engineering, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Occupational Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran ,
Abstract: (2802 Views)
Background and Objective: Due to limited resources for risk reduction, prioritizing risks is crucial. Fault tree analysis (FTA) is one of the best-known methods, which faces uncertainty like other methods. On the other hand, despite its benefits and increasing use in industries, hydrogen poses significant risks. Given the lack of studies in the field of risk assessment of hydrogen tanks, this study aimed to develop a risk assessment method for a type of hydrogen tank.
Materials and Methods: In this study, by using fuzzy logic, a connection was established between industrial experts and modern risk assessment methods; therefore, the uncertainty resulting from the lack of knowledge was mitigated as much as possible. Then, by transferring the fault tree to a Bayesian network, logical relationships between the system components were established, and obtaining updated probabilities became possible. By integrating fault tree analysis and these tools, the probability of fire and explosion in a hydrogen gasholder in one of Iran's industries was calculated.
Results: The probability of fire and explosion was calculated to be 1.147E-05. The presence of sufficient oxygen and an electrical spark, a delay in inspection, and an open flame were identified as the most influential basic events in causing this incident.
Conclusion: While calculating the probability of an accident, the proposed method improves the effectiveness of risk control plans by identifying the most important basic events. It also provides a framework for examining new cases.
Materials and Methods: In this study, by using fuzzy logic, a connection was established between industrial experts and modern risk assessment methods; therefore, the uncertainty resulting from the lack of knowledge was mitigated as much as possible. Then, by transferring the fault tree to a Bayesian network, logical relationships between the system components were established, and obtaining updated probabilities became possible. By integrating fault tree analysis and these tools, the probability of fire and explosion in a hydrogen gasholder in one of Iran's industries was calculated.
Results: The probability of fire and explosion was calculated to be 1.147E-05. The presence of sufficient oxygen and an electrical spark, a delay in inspection, and an open flame were identified as the most influential basic events in causing this incident.
Conclusion: While calculating the probability of an accident, the proposed method improves the effectiveness of risk control plans by identifying the most important basic events. It also provides a framework for examining new cases.
Article number: 2
Type of Study: Research Article |
Subject:
Safety
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