Uncertainty Sources in LCA

This lecture discusses the importance of uncertainty analysis in decision-making, planning structured uncertainty reduction, and providing transparency in Life Cycle Assessment (LCA) results. It covers two types of uncertainties: random variability and epistemic uncertainty, exemplifying how they manifest in real-world scenarios. Sources of uncertainty, such as temporal variability, spatial variability, and variability related to the object, are explored. The lecture also delves into epistemic uncertainties related to parameters, models, and scenarios in LCA. It emphasizes the need for accurate data collection and precise measurement tools to reduce epistemic uncertainty. Various examples illustrate how uncertainties can impact LCA results and the importance of addressing them.