Skip to Main content Skip to Navigation
Journal articles

How to conduct a proper sensitivity analysis in life cycle assessment: Taking into account correlations within LCI data and interactions within the LCA calculation model

Abstract : Sensitivity analysis (SA) is a significant tool for studying the robustness of results and their sensitivity to uncertainty factors in life cycle assessment (LCA). It highlights the most important set of model parameters to determine whether data quality needs to be improved, and to enhance interpretation of results. Interactions within the LCA calculation model and correlations within Life Cycle Inventory (LCI) input parameters are two main issues among the LCA calculation process. Here we propose a methodology for conducting a proper SA which takes into account the effects of these two issues. This study first presents the SA in an uncorrelated case, comparing local and independent global sensitivity analysis. Independent global sensitivity analysis aims to analyze the variability of results because of the variation of input parameters over the whole domain of uncertainty, together with interactions among input parameters. We then apply a dependent global sensitivity approach that makes minor modifications to traditional Sobol indices to address the correlation issue. Finally, we propose some guidelines for choosing the appropriate SA method depending on the characteristics of the model and the goals of the study. Our results clearly show that the choice of sensitivity methods should be made according to the magnitude of uncertainty and the degree of correlation.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02602518
Contributor : Migration Irstea Publications <>
Submitted on : Saturday, May 16, 2020 - 7:57:22 AM
Last modification on : Wednesday, September 8, 2021 - 3:39:04 AM

Identifiers

Citation

Wei Wei, P. Larrey Lassalle, Thierry Faure, N. Dumoulin, P. Roux, et al.. How to conduct a proper sensitivity analysis in life cycle assessment: Taking into account correlations within LCI data and interactions within the LCA calculation model. Environmental Science and Technology, American Chemical Society, 2015, 49 (1), pp.377-385. ⟨10.1021/es502128k⟩. ⟨hal-02602518⟩

Share

Metrics

Record views

56