动态LCA的不确定性-火灾方法评估环境火灾影响第3届IEEE国际会议系统与控制,ICSC 2013

S. Chettouh, R. Hamzi, F. Innal, D. Haddad
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引用次数: 3

摘要

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),以便更好地了解其环境意义。然而,LCIA通常排除了空间、时间、阈值和剂量反应信息,并结合了空间和/或时间上的排放或活动。这可能会降低指标结果的环境相关性。本文提出的动态LCA - fire方法将LCA - fire方法与弥散数值模型相结合,以完成火力领域的国际标准ISO 14042。它基于羽流模型的使用,用于评估火灾事故情景中的污染物浓度和热效应,并处理输入数据中存在的不确定性,我们提出不确定性分析,以尽可能多地避免可能在安全等领域产生重大影响的错误决策。在本研究中,动态LCA - Fire方法应用于石油生产过程管理的案例研究,我们对原油储罐火灾引起的NO2大气扩散相关的不确定性传播感兴趣。在风速、污染物排放率及其扩散系数等输入参数中,先验地定义了不确定性。为此,使用了蒙特卡罗方法。
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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
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.
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