Quantifying uncertainty in LCA-modelling of waste management systems

Julie Clavreul, D. Guyonnet, Thomas Højlund Christensen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Uncertainty analysis in LCA studies has been subject to major progress over the last years. In the context of waste management, various methods have been implemented but a systematic method for uncertainty analysis of waste-LCA studies is lacking. The objective of this paper is (1) to present the sources of uncertainty specifically inherent to waste-LCA studies, (2) to select and apply several methods for uncertainty analysis and (3) to develop a general framework for quantitative uncertainty assessment of LCA of waste management systems. The suggested method is a sequence of four steps combining the selected methods: (Step 1) a sensitivity analysis evaluating the sensitivities of the results with respect to the input uncertainties, (Step 2) an uncertainty propagation providing appropriate tools for representing uncertainties and calculating the overall uncertainty of the model results, (Step 3) an uncertainty contribution analysis quantifying the contribution of each parameter uncertainty to the final uncertainty and (Step 4) as a new approach, a combined sensitivity analysis providing a visualisation of the shift in the ranking of different options due to variations of selected key parameters. This tiered approach optimises the resources available to LCA practitioners by only propagating the most influential uncertainties.
Original languageEnglish
JournalWaste Management
Volume32
Issue number12
Pages (from-to)2482-2495
ISSN0956-053X
DOIs
Publication statusPublished - 2012

Keywords

  • LCA-modelling
  • Waste management
  • Uncertainty
  • Sensitivity

Fingerprint Dive into the research topics of 'Quantifying uncertainty in LCA-modelling of waste management systems'. Together they form a unique fingerprint.

Cite this