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Mettre en contexte les resultats d'une Analyse de Cycle de Vie: Developpement de facteurs de normalisation canadiens et problematique de la definition des frontieres.

机译:将生命周期分析的结果放在上下文中:加拿大标准化因素的发展以及边界定义的问题。

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摘要

In Life Cycle Assessment (LCA), the normalization step follows the impact assessment step and can be used as a support for interpretation. It calculates the magnitude of a potential impact in respect of the total of a given reference. Even though normalization is optional in LCA according to ISO standards (International Organization for Standardization (ISO), 2000a), it has the advantage of expressing LCA results on a common basis that allows the determination of the relative importance of the different effects to the selected reference. These results are expressed in a common unit, and thus are in a suitable form for the (possible) following step: weighting. Among the two existing approaches, namely internal and external normalization, external normalization has the advantage to place the LCA results in a broader context, for example a geographical context (country, continent or world) (Norris, 2001). The use of external values of reference allows a consistency check of the Life Cycle Inventory (LCI) of the studied products. The values of reference used in external normalization correspond to the total impacts of the selected geographical area and are called normalization factors (NFs).;When the reference corresponds to a global scale, there is no difference between production and consumption. At a continental or national scale, the difference increases as imports and exports gain importance (Wilting et Ros, 2009). Traditionally, the NFs are calculated by considering the production activities. For comparative reasons, and in order to be able to validate the previous hypothesis, calculation of the Canadian NFs was carried out by using the same approach. On the other hand, it is recognized, in the literature, that a consumption-based approach is more suitable to assess the responsibility of countries relatively to their environmental impacts (Peters et Hertwich, 2008; Wilting et Ros, 2009). Therefore, the second hypothesis was: the difference between production and consumption activities of a country can be highlighted by a comparison of the NFs calculated according to these two points of view.;The main objective of this project is to develop reference values adapted to the Canadian context. It can be divided into two distinct sub-objectives, corresponding to the two hypotheses that were previously defined, (1) calculate Canadian NFs considering production activities; and (2) calculate Canadian NFs considering consumption activities and compare the resulting NFs from the two approaches.;Parameter uncertainty evaluated by the semi-quantitative approach based on the Pedigree matrix (Weidema et Wesnaes, 1996) showed that uncertainty of the NFs depends on impact categories. Temporal variability represents the error made by choosing the year 2005 as reference. Temporal variability does not contribute significantly to the total uncertainty but can be an issue if the emissions follow a tendency2 in time or change abruptly due to legislation modifications. Uncertainty due to choices was evaluated with a scenario analysis. Model uncertainty was highlighted by reiterating the calculation of the NFs for three different impact assessment methodologies: IMPACT 2002+ (Jolliet et al., 2003), TRACI (Bare, 2002) and LUCAS (Toffoletto et al., 2007). The observed differences suggest that it is justified to use a geographically adapted methodology.;It is generally recommended to use NFs adapted to the geographical context in which the LCA study is carried out (Udo de Haes et al., 2002). NFs were developed for various countries and continents (e.g. Netherlands (Breedveld et al., 1999; Huijbregts et al., 2003a; Sleeswijk et al., 2008), Denmark (Stranddorf et al., 2005), Europe (Jolliet et al., 2003) or the United States (Bare et al., 2006)) but up to now, never in a Canadian context. This leads to the first hypothesis, i.e. that it is necessary to calculate NFs adapted to the Canadian context because economical and industrial activities differ from one country (or continent) to another, which leads to significant differences in terms of total impacts. It is also important to calculate uncertainty related to the NFs has it allows LCA practitioners to refine and/or moderate their interpretation of the normalized results. Although often discussed in a qualitative way, the NFs' uncertainty was never quantified.;The NFs based on Canadian consumption were calculated from the individual consumption relative to the five following fields: food, transport, housing, consumption goods and public services. The use of the augmented process-based hybrid methodology allowed the use of both physical and monetary data in the realization of the assessment. For 3 damage categories, out of 4, the consumption-based NFs are approximately twice as high as the consumption-based NFs. This highlights the difference between production and consumption activities in Canada. (Abstract shortened by UMI.);2Increasing or decreasing tendency
机译:在生命周期评估(LCA)中,规范化步骤在影响评估步骤之后,可以用作解释的支持。它计算相对于给定参考总数的潜在影响的大小。尽管根据ISO标准(国际标准化组织(ISO),2000a)在LCA中标准化是可选的,但它的优点是可以在通用的基础上表达LCA结果,从而可以确定不同效果对所选对象的相对重要性。参考。这些结果以通用单位表示,因此对于以下步骤(可能)采用合适的形式:加权。在内部和外部规范化这两种现有方法中,外部规范化具有将LCA结果置于更广泛的环境(例如地理环境(国家,大陆或世界))中的优势(Norris,2001)。使用外部参考值可以对所研究产品的生命周期清单(LCI)进行一致性检查。外部标准化中使用的参考值对应于所选地理区域的总体影响,称为标准化因子(NFs)。当参考值对应于全球范围时,生产和消费之间没有区别。在大陆或国家范围内,差异随着进出口的重要性而增加(Wilting等,2009)。传统上,NF是通过考虑生产活动来计算的。出于比较的原因,并且为了能够验证先前的假设,使用相同的方法对加拿大的自然因子进行了计算。另一方面,在文献中已经认识到,基于消费的方法更适合评估各国相对于其环境影响的责任(Peters等,2008; Witting等,2009)。因此,第二个假设是:一个国家的生产和消费活动之间的差异可以通过比较根据这两种观点计算出的NF来突出显示;该项目的主要目标是开发适合于该指标的参考值。加拿大的背景。它可以分为两个截然不同的子目标,分别对应于先前定义的两个假设:(1)考虑生产活动来计算加拿大NF。 (2)考虑消费活动来计算加拿大的NF,并比较两种方法所得的NF。通过基于谱系矩阵的半定量方法评估的参数不确定性(Weidema等,1996)表明,NF的不确定性取决于影响类别。时间变异性代表选择2005年作为参考的误差。时间变化不会对总不确定性产生重大影响,但是如果排放物随时间变化趋势2或由于法规修改而突然变化,则可能会成为一个问题。通过方案分析评估了由于选择导致的不确定性。通过重申三种不同影响评估方法的NFs计算,模型不确定性得到了强调:IMPACT 2002+(Jolliet等,2003),TRACI(裸露,2002)和LUCAS(Toffoletto等,2007)。观察到的差异表明使用地理上适当的方法是合理的。通常建议使用适合进行LCA研究的地理环境的NF(Udo de Haes等,2002)。 NFs的开发适用于各个国家和大洲(例如荷兰(Breedveld等,1999; Huijbregts等,2003a; Sleeswijk等,2008),丹麦(Stranddorf等,2005),欧洲(Jolliet等。 (2003年)或美国(Bare等人,2006年),但到目前为止,从来没有在加拿大使用。这导致了第一个假设,即有必要计算适应加拿大情况的自然因子,因为一个国家(或大陆)的经济和工业活动与另一个国家(或大陆)不同,从而导致总影响方面的显着差异。计算与NF相关的不确定性也很重要,因为它可以使LCA从业人员完善和/或缓和其对标准化结果的解释。尽管经常以定性的方式进行讨论,但NF的不确定性从未得到量化。基于加拿大消费的NF是从相对于以下五个领域的个人消费中计算得出的:食品,运输,住房,消费品和公共服务。基于增强过程的混合方法的使用允许在评估的实现中使用实物和货币数据。对于4类中的3种损坏类别,基于消耗的NF大约是基于消耗的NF的两倍。这凸显了加拿大生产和消费活动之间的差异。 (摘要由UMI缩短。); 2上升或下降趋势

著录项

  • 作者

    Lautier, Anne.;

  • 作者单位

    Ecole Polytechnique, Montreal (Canada).;

  • 授予单位 Ecole Polytechnique, Montreal (Canada).;
  • 学科 Engineering Chemical.;Environmental Sciences.;Engineering Environmental.
  • 学位 M.Sc.A.
  • 年度 2010
  • 页码 178 p.
  • 总页数 178
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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