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Quantitative uncertainty in LCI

Overall dispersion in LCA as result of inherent uncertainties, spread and unrepresentativeness.

Auteur Patrik Henriksson
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This page gives access to material that relates to the paper: 
Henriksson, P.J.G., J.B. Guinée, R. Heijungs, A. de Koning & D.M. Green (2013) A protocol for horizontal averaging of unit process data – including estimates for uncertainty. International Journal of Life Cycle Assessment, Online first. 
Including quantitative uncertainties in LCIs is an essential step to make statistically supported conclusions. To date, quantitative uncertainties have mainly been evaluated using the pedigree approach. This, however, only evaluates uncertainties related to post-normal science. The present approach also adopts inherent uncertainties (inaccurate measurements) and spread (variability around means as a result of horizontal averaging). The sum of these three sources of variance makes up the overall dispersion.

The process of horizontal averaging displaying the cumulative effect on dispersion, originating from inherent uncertainty, spread and unrepresentativeness; using spatial averaging as a reference. From Henriksson et al. (2013)

 

The process of horizontal averaging displaying the cumulative effect on dispersion, originating from inherent uncertainty, spread and unrepresentativeness; using spatial averaging as a reference. From Henriksson et al. (2013)

The process of horizontal averaging displaying the cumulative effect on dispersion, originating from inherent uncertainty, spread and unrepresentativeness; using spatial averaging as a reference. From Henriksson et al. (2013)

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You may communicate errors or problems to Patrik Henriksson, currently employed at The Beijer Institute of Ecological Economics or Jeroen Guinée.

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