Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure
Gianpaolo Di Bona,
Antonio Forcina,
Domenico Falcone and
Luca Silvestri
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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
Sustainability, 2020, vol. 12, issue 12, 1-19
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.
Keywords: safety assessment; safety allocation; RAMS analysis; risk management; nuclear system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:12:p:4949-:d:372770
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