The increasing threat posed by extreme natural disasters in industrial areas, where hazardous materials are handled, underscores the necessity for a robust safety management framework. Traditional safety management strategies based on the Quantitative Risk Assessment may fall short in assessing the long-term impacts of such events. Consequently, Resilience Engineering principles have been recently introduced in the context of process safety and Natech (natural hazards triggering technological disasters) accident response. Through a comprehensive review of the literature, the present study analyses existing methods for the quantitative resilience assessment of industrial systems to Natech events, focusing on chemical process plants and integrated energy systems. Moreover, the methodologies reviewed in this study are classified based on their key features, along with the resilience metrics adopted in the developed approach.
Valente, M., Ricci, F., Cozzani, V. (2024). Resilience Assessment of Chemical Sites Exposed to Natural Events. CHEMICAL ENGINEERING TRANSACTIONS, 111, 145-150 [10.3303/CET24111025].
Resilience Assessment of Chemical Sites Exposed to Natural Events
Valente Matteo;Ricci Federica;Cozzani Valerio
2024
Abstract
The increasing threat posed by extreme natural disasters in industrial areas, where hazardous materials are handled, underscores the necessity for a robust safety management framework. Traditional safety management strategies based on the Quantitative Risk Assessment may fall short in assessing the long-term impacts of such events. Consequently, Resilience Engineering principles have been recently introduced in the context of process safety and Natech (natural hazards triggering technological disasters) accident response. Through a comprehensive review of the literature, the present study analyses existing methods for the quantitative resilience assessment of industrial systems to Natech events, focusing on chemical process plants and integrated energy systems. Moreover, the methodologies reviewed in this study are classified based on their key features, along with the resilience metrics adopted in the developed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



