Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the interpretation and limitations of Life Cycle Assessment (LCA), focusing on uncertainty analysis. It explains the difference between sensitivity and uncertainty analysis, the steps involved in uncertainty analysis, probability density functions, parameter estimation, the pedigree approach for uncertainty estimation, and methods for uncertainty propagation. The lecture also discusses the importance of model and scenario uncertainties in LCA, the ISO14044 standard for interpreting uncertainties, and how to identify data for improvement. It concludes by emphasizing the role of uncertainty analysis in identifying data improvement areas and discussing the limitations of an LCA.