A quantitative risk management framework for dust and hybrid mixture explosions

被引:33
作者
Abuswer, Meftah [1 ]
Amyotte, Paul [1 ]
Khan, Faisal [2 ]
机构
[1] Dalhousie Univ, Dept Proc Engn & Appl Sci, Halifax, NS B3J 2X4, Canada
[2] Mem Univ Newfoundland, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Dust explosions; Hybrid mixtures; Quantitative risk assessment; CFD modelling; PREVENTION;
D O I
10.1016/j.jlp.2011.08.010
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Dust and hybrid-mixture explosions continue to occur in industrial processes that handle fine powders and flammable gases. Considerable research is therefore conducted throughout the world with the objective of both preventing the occurrence and mitigating the consequences of such events. In the current work, research has been undertaken to help move the field of dust explosion prevention and mitigation from its current emphasis on hazards (with an accompanying reliance on primarily engineered safety features) to a focus on risk (with an accompanying reliance on hierarchical, risk-based, decision-making tools). Employing the principles of quantitative risk assessment (QRA) of dust and hybrid-mixture explosions, a methodological framework for the management of these risks has been developed. The QRA framework is based on hazard identification via credible accident scenarios for dust explosions, followed by probabilistic fault-tree analysis (using Relex - Reliability Excellence - software) and consequence severity analysis (using DESC - Dust Explosion Simulation Code - software). Identification of risk reduction measures in the framework is accomplished in a hierarchical manner by considering inherent safety measures, passive and active engineered devices, and procedural measures (in that order). An industrial case study is presented to show how inherent safety measures such as dust minimization and dust/process moderation can be helpful in reducing dust and hybrid-mixture explosion consequences in a 400-m(3) polyethylene storage silo. (c) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:283 / 289
页数:7
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