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A model for process equipment damage probability assessment due to lightning

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  • Necci, Amos
  • Antonioni, Giacomo
  • Cozzani, Valerio
  • Krausmann, Elisabeth
  • Borghetti, Alberto
  • Alberto Nucci, Carlo

Abstract

In recent years, severe natural events raised concern about so-called NaTech accident scenarios: technological accidents caused by the impact of a natural event on an industrial facility or infrastructure. Lightning strikes are one of the most important triggers of NaTech scenarios. Moreover, previous studies showed that lightning strikes are among the main causes of loss of containment (LOC) of atmospheric storage vessels containing hazardous materials. Although the lightning hazard is well known, well accepted quantitative procedures to assess the contribution of accidents triggered by lightning to industrial risk are still lacking. In particular, the approaches to the assessment of lightning strike probability and to the damage caused by lightning strike are mainly qualitative or semi-quantitative and are mostly based on expert judgment. In the present study, a quantitative methodology for the assessment of the equipment damage probability due to lightning is presented. The lightning severity was quantified by means of probability distribution functions of two parameters: peak current intensity and lightning charge. Through the application of a Monte Carlo simulation the expected frequency of lightning strikes on the equipment and the equipment damage probability were determined. The results of the equipment damage model were validated by available experimental data on metal perforation in simulated lightning strikes. The results of the validated Monte Carlo simulations were fit to empirical functions obtaining a simplified model suitable for use in a quantitative risk assessment framework.

Suggested Citation

  • Necci, Amos & Antonioni, Giacomo & Cozzani, Valerio & Krausmann, Elisabeth & Borghetti, Alberto & Alberto Nucci, Carlo, 2013. "A model for process equipment damage probability assessment due to lightning," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 91-99.
    • Handle: RePEc:eee:reensy:v:115:y:2013:i:c:p:91-99
    DOI: 10.1016/j.ress.2013.02.018
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    References listed on IDEAS

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    1. Antonioni, Giacomo & Bonvicini, Sarah & Spadoni, Gigliola & Cozzani, Valerio, 2009. "Development of a framework for the risk assessment of Na-Tech accidental events," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1442-1450.
    2. Landucci, Gabriele & Antonioni, Giacomo & Tugnoli, Alessandro & Cozzani, Valerio, 2012. "Release of hazardous substances in flood events: Damage model for atmospheric storage tanks," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 200-216.
    3. Elisabeth Krausmann & Fesil Mushtaq, 2008. "A qualitative Natech damage scale for the impact of floods on selected industrial facilities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(2), pages 179-197, August.
    4. Ana Cruz & Elisabeth Krausmann & Giovanni Franchello, 2011. "Analysis of tsunami impact scenarios at an oil refinery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 141-162, July.
    5. Elisabeth Krausmann & Daniele Baranzini, 2012. "Natech risk reduction in the European Union," Journal of Risk Research, Taylor & Francis Journals, vol. 15(8), pages 1027-1047, September.
    6. 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:

    1. Yang, Yunfeng & Chen, Guohua & Reniers, Genserik, 2020. "Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    2. Landucci, Gabriele & Necci, Amos & Antonioni, Giacomo & Tugnoli, Alessandro & Cozzani, Valerio, 2014. "Release of hazardous substances in flood events: Damage model for horizontal cylindrical vessels," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 125-145.
    3. Misuri, Alessio & Ricci, Federica & Sorichetti, Riccardo & Cozzani, Valerio, 2023. "The Effect of Safety Barrier Degradation on the Severity of Primary Natech Scenarios," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    4. Bernier, Carl & Padgett, Jamie E., 2019. "Fragility and risk assessment of aboveground storage tanks subjected to concurrent surge, wave, and wind loads," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    5. Necci, Amos & Argenti, Francesca & Landucci, Gabriele & Cozzani, Valerio, 2014. "Accident scenarios triggered by lightning strike on atmospheric storage tanks," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 30-46.
    6. Yunfeng Yang & Guohua Chen & Yuanfei Zhao, 2023. "A Quantitative Framework for Propagation Paths of Natech Domino Effects in Chemical Industrial Parks: Part II—Risk Assessment and Mitigation System," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    7. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    8. Wang, Jian & Gao, Shibin & Yu, Long & Zhang, Dongkai & Xie, Chenlin & Chen, Ke & Kou, Lei, 2023. "Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    9. Yunfeng Yang & Guohua Chen & Yuanfei Zhao, 2023. "A Quantitative Framework for Propagation Paths of Natech Domino Effects in Chemical Industrial Parks: Part I—Failure Analysis," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    10. Khakzad, Nima & Van Gelder, Pieter, 2018. "Vulnerability of industrial plants to flood-induced natechs: A Bayesian network approach," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 403-411.
    11. Wang, Jian & Gao, Shibin & Yu, Long & Ma, Chaoqun & Zhang, Dongkai & Kou, Lei, 2023. "A data-driven integrated framework for predictive probabilistic risk analytics of overhead contact lines based on dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    12. 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).
    13. Necci, Amos & Antonioni, Giacomo & Bonvicini, Sarah & Cozzani, Valerio, 2016. "Quantitative assessment of risk due to major accidents triggered by lightning," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 60-72.
    14. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2021. "Assessment of risk modification due to safety barrier performance degradation in Natech events," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    15. Necci, Amos & Antonioni, Giacomo & Cozzani, Valerio & Krausmann, Elisabeth & Borghetti, Alberto & Nucci, Carlo Alberto, 2014. "Assessment of lightning impact frequency for process equipment," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 95-105.

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