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Uncertainty in Life Cycle Assessment
Uncertainty in Life Cycle Assessment
Principal Investigator
Principal Investigator
Olivier Jolliet
Co-Principal Investigator
Co-Principal Investigator
Jinglan Hong, Ralph Rosenbaum
About this Project
About this Project
Download poster: uncertainty poster.pdf
Uncertainty information is essential for the proper use of LCA in decision making. So far, parameter uncertainty propagation has mainly been studied using Monte-Carlo techniques that are relatively heavy to implement. The consequence is that uncertainty estimates have often been limited to either the inventory part of the analysis or the impact assessment part, very rarely covering the whole LCA. The present study applies an explicit analytical approach based on Taylor series expansion for lognormal distribution. Provide a decision support tool oriented towards overall company life cycle for an efficient environmental management system. This work is coordinated with the work of the SETAC working group on uncertainty in LCA.
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