Print Syllabus

Syllabus

PNS0153 Sensitivity and uncertainty analysis for LCA, 2.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Prior knowledge

None

Objectives

The objective of the course is to give an overview of sensitivity and uncertainty methods in life cycle assessment. On completion of the course, the student will be able to: • identify areas in LCA models where uncertainty can arise and should be taken into account • choose appropriate approaches to sensitivity and uncertainty analysis for a variety of LCA models • Interpretation of statistical modelling result for use as input data in LCA • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate uncertainty results for LCA models and conclusions drawn from that • critically assess published results presenting uncertainty in LCA models

Content

The course will cover the following topics: • Overview and terminology for LCA modelling • Overview and terminology for sensitivity and uncertainty analysis • Principles for uncertainty analysis, including input and parameter uncertainties • Introduction to global and local sensitivity analysis • Methodology for global sensitivity analysis, including Monte Carlo simulations, sampling procedures and variance-based methods

Responsible department

Department of Energy and Technology