NativeLCA - a systematic approach for the selection of environmental datasets as generic data: application to construction products in a national context
NativeLCA - a systematic approach for the selection of environmental datasets as generic data: application to construction products in a national context
复制标题
NativeLCA - 选择环境数据集作为通用数据的系统方法：在国家背景下应用于建筑产品
DOI：
10.1007/s11367-015-0885-8
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
M. Pinheiro
中科院分区：
文献类型：
--
作者：
J. Silvestre;S. Lasvaux;J. Hodková;J. Brito;M. Pinheiro
PurposeThe本文的目的是提出一个准确的生命周期评估（LCA）数据集的建筑产品的选择准则，作为通用数据为national context.MethodsThe准则的结构内的方法，称为NativeLCA。首先，对建筑产品的可用数据集进行了审查，例如国家（例如法国，德国，西班牙等）的通用LCA和环境产品声明（EPD）数据库。欧洲背景。其次，提出了一种通过混合方法选择合适的通用数据集的方法。在第一步中，对从文献中收集的数据集样本进行荟萃分析。当相关时，对特定于产品的数据（不同生产者的EPD）进行平均以表示平均数据，或者对现有的通用数据进行调整以更适合于上下文。然后，数据质量评估，使排名不同的数据集，根据目标和范围的study.Results和discussionThis研究提供了一致的指导方针，可用于建设LCA从业人员选择相关的数据集，根据他们的目标和范围。一项关于石棉板的完整案例研究说明并展示了拟议方法的适用性和有用性，即在选择一个连贯的数据集作为国家背景下的通用数据方面。这项工作突出了根据国情选择和调整现有数据方面的问题。与单元工艺通用数据不同，由于保密问题，行业数据无法调整。使用数据质量指标，然后帮助选择有关的通用数据为每一个context根据用户needs. conclusions虽然需要进一步努力，以发展区域和部门具体的LCA数据库适应每个国家的情况下，拟议的准则表明，目前使用或调整现有的数据，如果一贯这样做，可以引导从业者根据他们的目标和范围定义来增加构建LCA研究的可靠性。
PurposeThe aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) dataset of building products to be used as generic data for a national context.MethodsThe guidelines are structured within a methodology, called NativeLCA. First, a review of available datasets for construction products is presented such as generic LCA and Environmental Product Declaration (EPD) databases for both national (e.g. France, Germany, Spain etc.) and European context. Secondly, a method is proposed to choose appropriate generic datasets by means of a hybrid methodology. A meta-analysis is conducted in the first step on the sample of collected datasets from the literature. When relevant, product-specific data (EPD of the different producers) are averaged to represent an average data or existing generic data are adapted to be more suitable for the context. Then, a data quality assessment enables to rank the different datasets according to the goal and scope of the study.Results and discussionThis study provides consistent guidelines that can be used by building LCA practitioners to select relevant datasets depending on their goal and scope. A full case study for stone wool boards illustrates and demonstrates the applicability and usefulness of the proposed methodology, namely in the selection of a coherent dataset as generic data for a national context. This work highlights the issues in terms of choice and adaptation of existing data for a national context. Industry data cannot be adapted due to confidentiality issues unlike unit process generic data. The use of data quality indicators then helps to select the relevant generic data for each context according to user needs.ConclusionsWhile further efforts are needed to develop regional and sector-specific LCA databases adapted for each national context, the proposed guidelines showed that the current use or adaptation of existing data, if consistently done, can lead practitioners to increase the reliability of building LCA studies according to their goal and scope definition.