Escalation of primary accidental scenarios triggering a "domino effect" have caused extremely severe accidental events in the chemical and process industry. The identification of possible escalation events is required in the safety assessment of sites where relevant quantities of hazardous substances are stored or handled. In the European Union, "Seveso-II" Directive requires the assessment of on-site and off-site possible escalation scenarios in sites falling under the obligations of the Directive. In the present study, a methodology developed for the quantitative assessment of risk due to domino effect was applied to the analysis of an extended industrial area. Recently developed equipment damage probability models were applied for the identification of the final scenarios and for escalation probability assessment. The domino package of the Aripar-GIS software was used for risk recomposition. The results evidence that quantitative risk assessment of escalation hazard is of fundamental importance in order to identify critical equipment and to address prevention and protection actions.

G. Antonioni, G. Spadoni, V. Cozzani (2009). Application of Domino Effect Quantitative Risk Assessment to an Extended Industrial Area. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 19, 463-477 [10.1016/j.jlp.2009.02.012].

Application of Domino Effect Quantitative Risk Assessment to an Extended Industrial Area

ANTONIONI, GIACOMO;SPADONI, GIGLIOLA;COZZANI, VALERIO
2009

Abstract

Escalation of primary accidental scenarios triggering a "domino effect" have caused extremely severe accidental events in the chemical and process industry. The identification of possible escalation events is required in the safety assessment of sites where relevant quantities of hazardous substances are stored or handled. In the European Union, "Seveso-II" Directive requires the assessment of on-site and off-site possible escalation scenarios in sites falling under the obligations of the Directive. In the present study, a methodology developed for the quantitative assessment of risk due to domino effect was applied to the analysis of an extended industrial area. Recently developed equipment damage probability models were applied for the identification of the final scenarios and for escalation probability assessment. The domino package of the Aripar-GIS software was used for risk recomposition. The results evidence that quantitative risk assessment of escalation hazard is of fundamental importance in order to identify critical equipment and to address prevention and protection actions.
2009
G. Antonioni, G. Spadoni, V. Cozzani (2009). Application of Domino Effect Quantitative Risk Assessment to an Extended Industrial Area. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 19, 463-477 [10.1016/j.jlp.2009.02.012].
G. Antonioni; G. Spadoni; V. Cozzani
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/83387
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