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Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure

Author

Listed:
  • Gianpaolo Di Bona

    (Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, 03043 Cassino FR, Italy)

  • Antonio Forcina

    (Department of Engineering, University of Naples “Parthenope”, 80100 Naples, Italy)

  • Domenico Falcone

    (Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, 03043 Cassino FR, Italy)

  • Luca Silvestri

    (Department of Engineering, University “Niccolò Cusano”, 00166 Roma RM, Italy)

Abstract

In the current research, a safety allocation technique named the Critical Risks Method (CRM) has been developed. Starting from a literature review, we analyzed the shortcomings of conventional methods. The outcomes show the primary two criticalities of the most important safety allocation approaches: (1) They are developed for series configuration, but not for parallel ones; (2) they ordinarily give only qualitative outputs, but not quantitative ones. Moreover, by applying the conventional methods, an increase in safety of the units to ensure the safety target leads to an increase of the production costs of the units. The proposed strategy can overcome the shortcomings of traditional techniques with a safety approach useful to series–parallel systems in order to obtain quantitative outputs in terms of failures in a year. The CRM considers six factors that are able to ensure its applicability to a great variety of critical infrastructures. In addition, CRM is described by a simply analytic definition. The CRM was applied to a critical infrastructure (Liquid Nitrogen Cooling Installation) in a nuclear plant designed with series–parallel units. By comparing the CRM outputs with databank safety values, the proposed method was validated.

Suggested Citation

  • Gianpaolo Di Bona & Antonio Forcina & Domenico Falcone & Luca Silvestri, 2020. "Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4949-:d:372770
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    References listed on IDEAS

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    1. Gianpaolo Di Bona & Alessandro Silvestri & Antonio Forcina & Antonella Petrillo, 2018. "Total efficient risk priority number (TERPN): a new method for risk assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 21(11), pages 1384-1408, November.
    2. Vaurio, Jussi K., 2005. "Uncertainties and quantification of common cause failure rates and probabilities for system analyses," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 186-195.
    3. Anna Kosovac & Brian Davidson & Hector Malano, 2019. "Are We Objective? A Study into the Effectiveness of Risk Measurement in the Water Industry," Sustainability, MDPI, vol. 11(5), pages 1-13, February.
    4. Panagiotis K. Marhavilas & Michail Filippidis & Georgios K. Koulinas & Dimitrios E. Koulouriotis, 2020. "A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry," Sustainability, MDPI, vol. 12(3), pages 1-29, January.
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