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

被引:0
|
作者
机构
[1] [1,Balcioglu, Gulizar
[2] Fitzgerald, Amy M.
[3] Rodes, Ffion A.M.
[4] 1,Allen, Stephen R.
关键词
Glass fibers;
D O I
10.1016/j.compositesb.2024.112021
中图分类号
学科分类号
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. © 2024 The Authors
引用
收藏
相关论文
共 50 条
  • [41] Framework for modelling data uncertainty in life cycle inventories
    Huijbregts, MAJ
    Norris, G
    Bretz, R
    Ciroth, A
    Maurice, B
    von Bahr, B
    Weidema, B
    de Beaufort, ASH
    INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2001, 6 (03): : 127 - 132
  • [42] Quality of fisheries data and uncertainty in stock assessment
    Chen, Y
    SCIENTIA MARINA, 2003, 67 : 75 - 87
  • [43] Data quality: Stochastic environmental life cycle assessment modeling: A probabilistic approach to incorporating variable input data quality
    Arizona State University
    不详
    不详
    不详
    Int. J. Life Cycle Assess., 4 (199-207):
  • [44] Analyzing Temporal Variability in Inventory Data for Life Cycle Assessment: Implications in the Context of Circular Economy
    Shoaib-ul-Hasan, Sayyed
    Roci, Malvina
    Asif, Farazee M. A.
    Salehi, Niloufar
    Rashid, Amir
    SUSTAINABILITY, 2021, 13 (01) : 1 - 12
  • [45] Inventory regionalization of background data: Influence on building life cycle assessment and carbon reduction strategies
    Alaux, Nicolas
    Saade, Marcella Ruschi Mendes
    Passer, Alexander
    JOURNAL OF CLEANER PRODUCTION, 2024, 459
  • [46] Quality assessment of real-world data repositories across the data life cycle: A literature review
    Liaw, Siaw-Teng
    Guo, Jason Guan Nan
    Ansari, Sameera
    Jonnagaddala, Jitendra
    Godinho, Myron Anthony
    Borelli, Alder Jose
    de Lusignan, Simon
    Capurro, Daniel
    Liyanage, Harshana
    Bhattal, Navreet
    Bennett, Vicki
    Chan, Jaclyn
    Kahn, Michael G.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2021, 28 (07) : 1591 - 1599
  • [47] Ascertaining life cycle inventory data for electrical discharge machining
    Gamage, Janaka R.
    DeSilva, Anjali K. M.
    Harrison, Colin
    Harrison, David
    RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2016, 41 : 908 - 913
  • [48] Test of US federal life cycle inventory data interoperability
    Ingwersen, Wesley W.
    JOURNAL OF CLEANER PRODUCTION, 2015, 101 : 118 - 121
  • [49] Reducing epistemological uncertainty in life cycle inventory
    von Bahr, B
    Steen, B
    JOURNAL OF CLEANER PRODUCTION, 2004, 12 (04) : 369 - 388
  • [50] INDIGENOUS COMMUNITY TREE INVENTORY: ASSESSMENT OF DATA QUALITY
    Fauzi, M. F.
    Idris, N. H.
    Din, A. H. M.
    Osman, M. J.
    Idris, N. H.
    Ishak, M. H. I.
    INTERNATIONAL CONFERENCE ON GEOMATIC AND GEOSPATIAL TECHNOLOGY (GGT) 2016, 2016, 42-4 (W1): : 307 - 314