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?
dc.creator | Beltran, A.M. | |
dc.creator | Prado, V. | |
dc.creator | Font Vivanco, D. | |
dc.creator | Henriksson, P.J. | |
dc.creator | Guinée, J.B. | |
dc.creator | Heijungs, R. | |
dc.date.accessioned | 2019-01-24T10:59:33Z | |
dc.date.available | 2019-01-24T10:59:33Z | |
dc.date.issued | 2018 | |
dc.identifier | 4340.pdf | |
dc.identifier.citation | Environmental Science & Technology, 52(4): 2152-2161 | |
dc.identifier.issn | 0013-936X | |
dc.identifier.uri | https://hdl.handle.net/20.500.12348/2385 | |
dc.description.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. | |
dc.format | application/pdf | |
dc.language | En | |
dc.publisher | ACS Publications | |
dc.rights | CC-BY-NC-ND | |
dc.source | Environmental Science & Technology | |
dc.title | Quantified uncertainties in Comparative Life Cycle Assessment: What can be concluded? | |
dc.type | Journal Article | |
dcterms.bibliographicCitation | Beltran, A.M. et al. (2018). Quantified uncertainties in Comparative Life Cycle Assessment: What can be concluded?. Environmental Science & Technology, 52(4): 2152-2161 | |
dc.description.version | Peer Review | |
cg.contributor.funder | European Commission | |
cg.identifier.worldfish | 4340 | |
cg.subject.agrovoc | life cycle analysis | |
cg.subject.agrovoc | statistical methods | |
cg.contributor.affiliation | Leiden University | |
cg.contributor.affiliation | EarthShift Global LLC | |
cg.contributor.affiliation | University College London (UCL) | |
cg.contributor.affiliation | Stockholm University | |
cg.contributor.affiliation | WorldFish | |
cg.contributor.affiliation | Vrije Universiteit Amsterdam | |
cg.identifier.status | Open access | |
cg.identifier.ISIindexed | ISI indexed | |
cg.contribution.worldfishauthor | Henriksson, P.J. | |
cg.description.theme | Miscellaneous | |
dc.identifier.doi | https://doi.org/10.1021/acs.est.7b06365 | en_US |
cg.identifier.url | https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b06365 |
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