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Quantitative assessment of domino scenarios by a GIS-based software tool
Institution:1. State Key Laboratory of Fire Science, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui 230026, China;2. Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control, Nanjing Tech University, 30 Puzhu South Road, Nanjing, Jiangsu 211816, China;3. Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John''s, Newfoundland and Labrador A1B 3X5, Canada;4. Mary Kay O''Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station TX 77843-3122, USA
Abstract:A software procedure was developed for the quantitative assessment of domino effect. The procedure was based on a systematic methodology for the identification of domino scenarios and for the assessment of consequences and expected frequencies of the escalation events. A geographical information system (GIS) platform was interfaced to the domino assessment software. The implementation of plant lay-out data to the GIS allowed the automatic identification of the possible targets of escalation effects by the software procedure, and a straightforward calculation of the contribution to individual and societal risk indexes caused by the possible domino scenarios. The procedure was applied to the analysis of several case-studies based on actual plant lay-outs. The results evidenced that the approach allows the quantitative assessment of risk caused by escalation events with a limited additional effort with respect to that required by a conventional QRA. The use of a GIS-based software was a key element in the limitation of the effort required for the quantitative assessment of domino scenarios. Moreover, the results of the case-studies pointed out that the estimation of risk increase due to domino events is an important tool for an effective assessment and control of industrial risk in chemical and process plants.
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