Print Email Facebook Twitter An analytical approach of Uncertainty Propagation for Sensitivity Analysis of Life Cycle Assessment Title An analytical approach of Uncertainty Propagation for Sensitivity Analysis of Life Cycle Assessment Author Lensen, Sietske (TU Delft Technology, Policy and Management) Contributor Cucurachi, S. (mentor) Heijungs, Reinout (graduation committee) Degree granting institution Delft University of TechnologyUniversiteit Leiden Programme Industrial Ecology Date 2021-04-22 Abstract Life Cycle Assessment (LCA) models are inherently uncertain due to the model structure interacting with the model inputs and modeling choices. The methods of sensitivity analysis (SA) aim at retracing the causes of the uncertainty of the results of a model. This work takes apart the methods of uncertainty propagation, SA, and LCA, and identifies the requirements of appropriate SA methods for LCA. Global input space assessment and inclusion of correlation are identified as important factors which both analytical and sampling SA methods have issues addressing. An analytical expression for covariance is formulated that combines research on the uncertainty propagation methods to address the posed requirements. Its performance is tested and shown to be promising, but further manipulation is required for practical application in SA for LCA in the future. Subject Life Cycle AssessmentSensitivity AnalysisUncertainty Analysis To reference this document use: http://resolver.tudelft.nl/uuid:f7ba0c9f-2b05-4726-a8b7-2b060511948f Part of collection Student theses Document type master thesis Rights © 2021 Sietske Lensen Files PDF Masterthesis_SietskeLensen.pdf 631.02 KB Close viewer /islandora/object/uuid:f7ba0c9f-2b05-4726-a8b7-2b060511948f/datastream/OBJ/view