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Uncertainty in the Dynamic LCA - Fire methodology to assess the environmental fire effects 3th IEEE International Conference on Systems and Control, ICSC 2013

机译:动态LCA的不确定性 - 消防方法论评估环境消防效应第三届IEEE系统和控制国际会议,ICSC 2013

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Life Cycle Impact Assessment, LCIA, is the third phase of Life Cycle Assessment (LCA) described in ISO 14042. The purpose of LCIA is to assess a product system's life cycle inventory analysis (LCI) in order to better understand its environmental significance. However, LCIA typically excludes spatial, temporal, threshold and dose-response information, and combines emissions or activities over space and/or time. This may diminish the environmental relevance of the indicator result. The methodology, Dynamic LCA -Fire proposed in this paper to complete the International Standard ISO 14042 in the fire field, combines the LCA - Fire method with the Dispersion Numerical Model. It is based on the use of the plume model used to assess pollutant concentrations and thermal effects from fire accident scenarios and to cope with the presence of uncertainties in the input data we propose an uncertainty analysis enables to avoid as much as possible bad decisions that may have a large impact in a field such as safety. In this study, The Dynamic LCA - Fire methodology is applied to a case study for petroleum production process management and we are interested in the uncertainty propagation related to NO2 atmospheric dispersion resulting from a crude oil tank fire. Uncertainties were defined a priori in each of the following input parameters: wind speed, pollutant emission rate and its diffusivity coefficient. For that purpose, a Monte Carlo approach has been used.
机译:生命周期影响评估LCIA是ISO 14042中描述的生命周期评估(LCA)的第三阶段。LCIA的目的是评估产品系统的生命周期库存分析(LCI),以便更好地理解其环境意义。然而,LCIA通常排除空间,时间,阈值和剂量 - 响应信息,并将排放或活动结合在空间和/或时间上。这可能会减少指标结果的环境相关性。本文提出的方法,动态LCA -Fire在火领域完成国际标准ISO 14042,将LCA - 防火方法与分散数值模拟相结合。它基于使用用于评估污染物浓度和来自火灾事故情景的热效果的羽流模型的使用,并应对输入数据中的不确定性的存在,我们提出了不确定性分析,可以避免尽可能多的错误决策对安全的领域有很大的影响。在这项研究中,动态LCA - 火灾方法适用于石油生产过程管理的案例研究,我们对由原油油箱火灾产生的No2大气分散的不确定性传播感兴趣。在以下每个输入参数中的每个输入参数中定义不确定性:风速,污染物排放率及其扩散系数。为此目的,已经使用了蒙特卡罗方法。

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