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    Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12348/2385

    Quantified uncertainties in Comparative Life Cycle Assessment: What can be concluded?

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    Abstract
    • Interpretation of comparative Life Cycle Assessment (LCA) results can be challenging in the presence of uncertainty. To aid in interpreting such results under the goal of any comparative LCA, we aim to provide guidance to practitioners by gaining insights into uncertainty-statistics methods (USMs). We review five USMs—discernibility analysis, impact category relevance, overlap area of probability distributions, null hypothesis significance testing (NHST), and modified NHST–and provide a common notation, terminology, and calculation platform. We further cross-compare all USMs by applying them to a case study on electric cars.
    • External link to download this item: https://doi.org/10.1021/acs.est.7b06365
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    • Miscellaneous themes [857]
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    • 4340.pdf (1.455Mb)
    Date
    • 2018
    Author
    • Beltran, A.M.
    • Prado, V.
    • Font Vivanco, D.
    • Henriksson, P.J.G.
    • Guinée, J.B.
    • Heijungs, R.
    AGROVOC Keywords
    • life cycle analysis; statistical methods
    Type
    • Journal Article
    Publisher
    • ACS Publications
    Metadata
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