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Assessment of lightning impact frequency for process equipment

Author

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

Abstract

Fires and explosions triggered by lightning strikes are among the most frequent Natech scenarios affecting the chemical and process industry. Although lightning hazard is well known, well accepted quantitative procedures to assess the contribution of accidents caused by lightning to industrial risk are still lacking. In the present study, a quantitative methodology for the assessment of the expected frequency of lightning capture by process equipment is presented. A specific model, based on Monte Carlo simulations, was developed to assess the capture frequency of lightning for equipment with a given geometry. The model allows the assessment of lay-out effects and the reduction of the capture probability due to the presence of other structures or equipment items. The results of the Monte Carlo simulations were also used to develop a simplified cell method allowing a straightforward assessment of the lightning impact probability in a quantitative risk assessment framework. The developed approach allows an in-depth analysis of the hazard due to lightning impact by identifying equipment items with the highest expected frequency of lightning impacts in a given lay-out. The model thus supplies useful data to approach the assessment of the quantitative contribution of lightning-triggered accidents to industrial risk.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:130:y:2014:i:c:p:95-105
    DOI: 10.1016/j.ress.2014.05.001
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    References listed on IDEAS

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    1. Elisabeth Krausmann & Elisabetta Renni & Michela Campedel & Valerio Cozzani, 2011. "Industrial accidents triggered by earthquakes, floods and lightning: lessons learned from a database analysis," 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. 59(1), pages 285-300, October.
    2. 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.
    3. 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.
    4. Ana Cruz & Elisabeth Krausmann, 2013. "Vulnerability of the oil and gas sector to climate change and extreme weather events," Climatic Change, Springer, vol. 121(1), pages 41-53, November.
    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. 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.
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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. 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).
    3. 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).
    4. 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).
    5. 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.
    6. 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).
    7. Weiliang Qiao & Enze Huang & Hongtongyang Guo & Yang Liu & Xiaoxue Ma, 2022. "Barriers Involved in the Safety Management Systems: A Systematic Review of Literature," IJERPH, MDPI, vol. 19(15), pages 1-35, August.

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