Improving data quality in LCA- management of data gap and data consistency

提高 LCA 中的数据质量 - 数据差距和数据一致性管理

• 批准号: 216959-2008
• 负责人: Samson, Réjean
• 金额: $ 2.66万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=496835
• 关键词: Improving; data; quality; LCA; management

Life Cycle Assessment (LCA) methodology is a tool to look at the overall environmental impacts of a product/process/service from the extraction of raw materials to the treatment of wastes and disposal of products themselves at the end. Given its holistic approach, the strength of the LCA methodology lies in the ability to identify any displacement of environmental impacts from both, an impact category to another one (e.g. from acidification to global warming) or a phase of the product to another one (e.g. from the production to the use phase). Such a methodology should consider all the processes and their sub-processes along the whole product's life cycle. This implies a lot of data to collect and manage. As it is costly, time consuming and sometimes simply not possible to collect all the specific data required, it is necessary to use life cycle inventory databases. A direct consequence is the use of less appropriate data, which means a possible loss in quality of the LCA study.

生命周期评估（LCA）方法是一种工具，用于查看从原材料提取到废物处理和最终产品本身处置的产品/过程/服务的整体环境影响。考虑到其整体方法，LCA方法的优势在于能够识别环境影响从两个类别到另一个类别（例如从酸化到全球变暖）或产品的一个阶段到另一个阶段（例如从生产到使用阶段）的任何转移。这种方法应该考虑整个产品生命周期中的所有过程及其子过程。这意味着需要收集和管理大量数据。由于成本高、耗时长，而且有时根本不可能收集所需的所有特定数据，因此有必要使用生命周期清单数据库。一个直接的后果是使用了不太合适的数据，这意味着LCA研究的质量可能会下降。