Data quality and uncertainty assessment of life cycle inventory data for composites

被引:0
|
作者
Balcioglu, Gulizar [1 ,2 ]
Fitzgerald, Amy M. [3 ]
Rodes, Ffion A. M. [3 ]
Allen, Stephen R. [1 ,4 ]
机构
[1] Univ Bath, Inst Sustainabil & Climate Change, Bath BA2 7AY, England
[2] Yildiz Tech Univ, Clean Energy Technol Inst, Istanbul, Turkiye
[3] Natl Composites Ctr, Bristol & Bath Sci Pk, Bristol BS16 7FS, England
[4] Univ Bath, Dept Architecture & Civil Engn, Bath BA2 7AY, England
基金
英国工程与自然科学研究理事会;
关键词
A. Glass fibres; A. Carbon fibre; A. Polymer-matrix composites (PMCs); Life cycle assessment; Data quality; Uncertainty analysis;
D O I
10.1016/j.compositesb.2024.112021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Life Cycle Assessment (LCA) is an increasingly common method for assessing the environmental impact of products. For both novel and established composite materials, the quality and uncertainty of LCA data varies across sources, and there is a particular paucity of data for novel materials which can inhibit their adoption in favour of more established materials. After reviewing available LCA datasets for the constituent materials of composites, this study analyses life cycle greenhouse gas emissions datasets for a sample of materials - glass fibre, carbon fibre, and epoxide resin - and assesses the data quality and uncertainty across their sources. The results revealed major discrepancies in the datasets for the production of composites are summarised and presented via a colour-coded visual to aid interpretation and transparently select the most appropriate dataset for the LCA. The study highlights the importance of giving more attention to composite datasets in the future and advises that the process of selecting the most representative values should be approached with caution.
引用
收藏
页数:16
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