Print Email Facebook Twitter Resilience-based optimal firefighting to prevent domino effects in process plants Title Resilience-based optimal firefighting to prevent domino effects in process plants Author Cincotta, Salvatore (University of Bologna; Student TU Delft) Khakzad, N. (TU Delft Safety and Security Science) Cozzani, Valerio (University of Bologna) Reniers, G.L.L.M.E. (TU Delft Safety and Security Science) Date 2019 Abstract Domino effects triggered by fire can cause extremely severe damages to the chemical and process plants. In the need of a more effective prevention of fire domino effects, the present study focuses on firefighting which has received less attention compared to passive and active fire protection systems. Considering both the vulnerability and recoverability phases during fire domino effects, we have introduced a methodology for optimal identification of firefighting strategies so as to increase the resiliency of process plants in dealing with fire escalation scenarios. The area above the resilience curve (AARC), which is equal to the accumulation of loss of resilience over time, was considered as the metric to identify the optimal firefighting strategies. In other words, the strategy leading to the lowest AARC can be selected as the optimal strategy from a resiliency perspective Subject Bayesian networkDomino effectFirefightingOptimizationResilience To reference this document use: http://resolver.tudelft.nl/uuid:3f92a3d5-b617-42ad-b50e-f48c0f67321f DOI https://doi.org/10.1016/j.jlp.2019.02.004 Embargo date 2021-02-21 ISSN 0950-4230 Source Journal of Loss Prevention in the Process Industries: the international journal of chemical and process plant safety, 58, 82-89 Part of collection Institutional Repository Document type journal article Rights © 2019 Salvatore Cincotta, N. Khakzad, Valerio Cozzani, G.L.L.M.E. Reniers Files PDF Manuscript_for_production.pdf 975.12 KB Close viewer /islandora/object/uuid:3f92a3d5-b617-42ad-b50e-f48c0f67321f/datastream/OBJ/view