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Cost-effective fire protection of chemical plants against domino effects

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  • Khakzad, Nima
  • Landucci, Gabriele
  • Cozzani, Valerio
  • Reniers, Genserik
  • Pasman, Hans

Abstract

The propagation of fire-induced domino effects in chemical plants largely depends on the primary fire scenario, on separation distances between the units, and on the presence of fire protection barriers. Passive and active safety barriers are widely employed to prevent or delay the initiation or propagation of domino effects. In the present study, a methodology has been developed based on Bayesian network to account for the impact of such safety barriers on the propagation of fire domino scenarios. The Bayesian network has been extended to a limited memory influence diagram in order to identify a cost-effective allocation of additional safety barriers to further mitigate the fire propagation. The application of the methodology has been demonstrated using a chemical tank farm. The results are in good agreement with the results of a graph theoretic approach developed in a previous study, proving the reliability of the developed methodology in cost-effective protection of process plants.

Suggested Citation

  • Khakzad, Nima & Landucci, Gabriele & Cozzani, Valerio & Reniers, Genserik & Pasman, Hans, 2018. "Cost-effective fire protection of chemical plants against domino effects," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 412-421.
    • Handle: RePEc:eee:reensy:v:169:y:2018:i:c:p:412-421
    DOI: 10.1016/j.ress.2017.09.007
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    References listed on IDEAS

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    1. Gilboa,Itzhak, 2009. "Theory of Decision under Uncertainty," Cambridge Books, Cambridge University Press, number 9780521517324.
    2. Zhou, Jianfeng & Reniers, Genserik & Khakzad, Nima, 2016. "Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 202-209.
    3. 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.
    4. Ernest H. Forman & Saul I. Gass, 2001. "The Analytic Hierarchy Process---An Exposition," Operations Research, INFORMS, vol. 49(4), pages 469-486, August.
    5. Landucci, Gabriele & Argenti, Francesca & Tugnoli, Alessandro & Cozzani, Valerio, 2015. "Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 30-43.
    6. 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.
    7. Tugnoli, Alessandro & Cozzani, Valerio & Di Padova, Annamaria & Barbaresi, Tiziana & Tallone, Fabrizio, 2012. "Mitigation of fire damage and escalation by fireproofing: A risk-based strategy," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 25-35.
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    Citations

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    Cited by:

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    2. Zhou, Jianfeng & Reniers, Genserik, 2020. "Probabilistic Petri-net addition enabling decision making depending on situational change: The case of emergency response to fuel tank farm fire," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    3. Guo, Xiaoxue & Ding, Long & Ji, Jie & Cozzani, Valerio, 2022. "A cost-effective optimization model of safety investment allocation for risk reduction of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Khakzad, Nima, 2023. "A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    5. Di Maio, Francesco & Marchetti, Stefano & Zio, Enrico, 2023. "Robust multi-objective optimization of safety barriers performance parameters for NaTech scenarios risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    6. Ovidi, Federica & Zhang, Laobing & Landucci, Gabriele & Reniers, Genserik, 2021. "Agent-based model and simulation of mitigated domino scenarios in chemical tank farms," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    7. Nima Khakzad, 2018. "Which Fire to Extinguish First? A Risk‐Informed Approach to Emergency Response in Oil Terminals," Risk Analysis, John Wiley & Sons, vol. 38(7), pages 1444-1454, July.
    8. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of safety barrier performance in the mitigation of domino scenarios caused by Natech events," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    9. Khakzad, Nima, 2021. "Optimal firefighting to prevent domino effects: Methodologies based on dynamic influence diagram and mathematical programming," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    10. Khakzad, Nima, 2023. "A goal programming approach to multi-objective optimization of firefighting strategies in the event of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    11. Martin Folch-Calvo & Francisco Brocal-Fernández & Cristina González-Gaya & Miguel A. Sebastián, 2020. "Analysis and Characterization of Risk Methodologies Applied to Industrial Parks," Sustainability, MDPI, vol. 12(18), pages 1-35, September.

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