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    Validation of a hybrid life-cycle inventory analysis method

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    203
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    Author
    Crawford, RH
    Date
    2008
    Source Title
    Journal of Environmental Management
    Publisher
    Elsevier
    University of Melbourne Author/s
    Crawford, Robert
    Affiliation
    Architecture, Building and Planning
    Metadata
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    Document Type
    Journal Article
    Citations
    Crawford, R. H. (2008). Validation of a hybrid life-cycle inventory analysis method. Journal of Environmental Management, 88 (3), pp.496-506. https://doi.org/10.1016/j.jenvman.2007.03.024.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29895
    DOI
    10.1016/j.jenvman.2007.03.024
    Abstract
    The life-cycle inventory analysis step of a life-cycle assessment (LCA) may currently suffer from several limitations, mainly concerned with the use of incomplete and unreliable data sources and methods of assessment. Many past LCA studies have used traditional inventory analysis methods, namely process analysis and input-output analysis. More recently, hybrid inventory analysis methods have been developed, combining these two traditional methods in an attempt to minimise their limitations. In light of recent improvements, these hybrid methods need to be compared and validated, as these too have been considered to have several limitations. This paper evaluates a recently developed hybrid inventory analysis method which aims to improve the limitations of previous methods. It was found that the truncation associated with process analysis can be up to 87%, reflecting the considerable shortcomings in the quantity of process data currently available. Capital inputs were found to account for up to 22% of the total inputs to a particular product. These findings suggest that current best-practice methods are sufficiently accurate for most typical applications, but this is heavily dependent upon data quality and availability. The use of input-output data assists in improving the system boundary completeness of life-cycle inventories. However, the use of input-output analysis alone does not always provide an accurate model for replacing process data. Further improvements in the quantity of process data currently available are needed to increase the reliability of life-cycle inventories.
    Keywords
    Building

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