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Risk-based design of process plants with regard to domino effects and land use planning

机译:关于多米诺骨牌效应和土地使用规划的基于风险的加工厂设计

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Land use planning (LUP) as an effective and crucial safety measure has widely been employed by safety experts and decision makers to mitigate off-site risks posed by major accidents. Accordingly, the concept of LUP in chemical plants has traditionally been considered from two perspectives: (i) land developments around existing chemical plants considering potential off-site risks posed by major accidents and (ii) development of existing chemical plants considering nearby land developments and the level of additional off-site risks the land developments would be exposed to. However, the attempts made to design chemical plants with regard to LUP requirements have been few, most of which have neglected the role of domino effects in risk analysis of major accidents. To overcome the limitations of previous work, first, we developed a Bayesian network methodology to calculate both on-site and off-site risks of major accidents while taking domino effects into account. Second, we combined the results of risk analysis with Analytic Hierarchical Process to design an optimal layout for which the levels of on-site and off-site risks would be minimum. (C) 2015 Elsevier B.V. All rights reserved.
机译:土地使用规划(LUP)作为一种有效且至关重要的安全措施,已被安全专家和决策者广泛采用,以减轻重大事故带来的异地风险。因此,传统上从两个角度考虑化工厂中的LUP概念:(i)考虑到重大事故带来的潜在场外风险的现有化工厂周围的土地开发;(ii)考虑附近土地开发的现有化工厂的开发;以及土地开发将面临的其他异地风险水平。但是,针对LUP要求设计化工厂的尝试很少,大多数都忽略了多米诺效应在重大事故风险分析中的作用。为了克服先前工作的局限性,首先,我们开发了一种贝叶斯网络方法,可以在计算多米诺骨牌效应的同时计算重大事故的现场和非现场风险。其次,我们将风险分析的结果与层次分析法相结合,以设计一种最佳布局,以使现场和非现场风险的水平最小。 (C)2015 Elsevier B.V.保留所有权利。

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