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A hybrid model for dynamic analysis of domino effects in chemical process industries

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  • Gholamizadeh, Kamran
  • Zarei, Esmaeil
  • Yazdi, Mohammad
  • Ramezanifar, Ehsan
  • Aliabadi, Mostafa Mirzaei

Abstract

Due to potential domino effect incidents, chemical tank farms pose a significant threat to human life and nearby infrastructure. However, existing approaches for modeling these effects have limitations in accounting for the system's state over time and complex parameter interactions. This study develops a hybrid model for dynamically analyzing domino effects in chemical tank farms to address these limitations. The proposed model integrates Bowtie (BT) for cause-consequence analysis and utilizes the set pair analysis (SPA) method to handle uncertainty. The model actively investigates domino effects by incorporating multi-agent dynamic analysis and simulation providing quantitative and visual representations of consequences, including equipment damage and potential human losses. A case study on methanol tanks demonstrates the model's effectiveness in assessing and managing domino effects. The findings highlight the superior performance of the proposed approach compared to previous models used in dynamic domino effect analysis. In summary, this hybrid model offers a comprehensive and practical approach for assessing and managing the risks associated with domino effects in chemical tanks by integrating BT, SPA, multi-agent dynamic analysis, and simulation.

Suggested Citation

  • Gholamizadeh, Kamran & Zarei, Esmaeil & Yazdi, Mohammad & Ramezanifar, Ehsan & Aliabadi, Mostafa Mirzaei, 2024. "A hybrid model for dynamic analysis of domino effects in chemical process industries," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005689
    DOI: 10.1016/j.ress.2023.109654
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    References listed on IDEAS

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    1. Iraj Mohammadfam & Esmaeil Zarei & Mohammad Yazdi & Kamran Gholamizadeh & Alessandro Della Corte, 2022. "Quantitative Risk Analysis on Rail Transportation of Hazardous Materials," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, March.
    2. Taleb-Berrouane, Mohammed & Khan, Faisal & Hawboldt, Kelly, 2021. "Corrosion risk assessment using adaptive bow-tie (ABT) analysis," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    3. Nima Khakzad & Faisal Khan & Paul Amyotte & Valerio Cozzani, 2013. "Domino Effect Analysis Using Bayesian Networks," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 292-306, February.
    4. Stroeve, Sybert H. & Blom, Henk A.P. & Bakker, G.J. (Bert), 2013. "Contrasting safety assessments of a runway incursion scenario: Event sequence analysis versus multi-agent dynamic risk modelling," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 133-149.
    5. Chen, Chao & Reniers, Genserik & Khakzad, Nima, 2021. "A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    6. Khakzad, Nima & Reniers, Genserik, 2015. "Using graph theory to analyze the vulnerability of process plants in the context of cascading effects," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 63-73.
    7. Yang, Ruochen & Khan, Faisal & Neto, Eugenio Turco & Rusli, Riza & Ji, Jie, 2020. "Could pool fire alone cause a domino effect?," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    8. Khakzad, Nima, 2015. "Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 263-272.
    9. Hou, Lei & Wu, Xingguang & Wu, Zhuang & Wu, Shouzhi, 2020. "Pattern identification and risk prediction of domino effect based on data mining methods for accidents occurred in the tank farm," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    10. Chen, Chao & Khakzad, Nima & Reniers, Genserik, 2020. "Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    11. Necci, Amos & Cozzani, Valerio & Spadoni, Gigliola & Khan, Faisal, 2015. "Assessment of domino effect: State of the art and research Needs," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 3-18.
    12. Nima Khakzad & Gabriele Landucci & Genserik Reniers, 2017. "Application of Graph Theory to Cost‐Effective Fire Protection of Chemical Plants During Domino Effects," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1652-1667, September.
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    1. Xie, Qimiao & Zhou, Tianyi & Wang, Changjian & Zhu, Xu & Ma, Chao & Zhang, Aifeng, 2024. "An integrated uncertainty analysis method for the risk assessment of hydrogen refueling stations," Reliability Engineering and System Safety, Elsevier, vol. 248(C).

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