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A probabilistic approach for handling uncertainty in infrastructure LCA
Lund University, Sweden.
RISE, SP – Sveriges Tekniska Forskningsinstitut.ORCID iD: 0000-0001-5879-7305
IVL Swedish Environmental Research Institute, Sweden.
2016 (English)In: IABSE Congress Stockholm 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, 2016, p. 1677-1685Conference paper, Published paper (Refereed)
Abstract [en]

To demonstrate and support sustainability of large-scale infrastructure projects, life cycle assessment (LCA) has become a common tool used in the evaluation of environmental impact. However, LCA includes a number of phases, which are all associated with uncertainties. Decisions made without regard to these uncertainties may be suboptimal and/or misleading. The current paper discusses some important issues about how to deal with uncertainties in LCA. Two case studies are presented that shows the effect of including uncertainty in various parameters. The results show that a reduction in uncertainty due to manufacturing improvements can increase the reliability of the results significantly. It was also found that the uncertainty assumptions for parameters where data is not available have a large impact on the LCA-results.

Place, publisher, year, edition, pages
2016. p. 1677-1685
Keywords [en]
Data quality, Investment decisions, LCA, Probabilistic analysis, Uncertainty
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-27914Scopus ID: 2-s2.0-85018979351ISBN: 9783857481444 (print)OAI: oai:DiVA.org:ri-27914DiVA, id: diva2:1067234
Conference
19th IABSE Congress Stockholm 2016: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, September 21-23, 2016, Stockholm, Sweden
Available from: 2017-01-20 Created: 2017-01-20 Last updated: 2019-08-09Bibliographically approved

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Honfi, Daniel

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  • apa
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  • Other locale
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Output format
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