Aim: To provide the competence to use Life-Cycle Assessment in own research and to know the strength, limitations and potential pitfalls of doing so. It introduces the state-of-the-art and scientific debates connected to both inventory modeling and impact assessment. The core of the course addresses the modeling of product systems and larger production-consumption networks The course addresses recent advances related to the adaptation of input-output techniques and data for LCA. Allocation issues, attributional and consequential LCA, and the treatment of recycling will be discussed. The impact assessment with impact-category and damage-oriented approaches are reviewed using the new RECIPE method as an example. In addition to the presentation of an up-to-date overview of the LCA methodology, it will be discussed how to use LCA to illuminate critical issues relevant for environmental and technology policy. The planning and interpretation of LCA results will be highlighted using real-world case studies from industry and public policy.
Required prerequisite knowledge: The course requires basic knowledge of linear algebra. This is generally documented through an MSc in engineering, applied science or economics. Basic knowledge of LCA at the level of Baumann and Tilman 2004, A Hitch Hicker's Guide to LCA .
Research training activities: Course reading of important papers to be completed before the session. MATLAB training exercises. The discussion of the scientific papers, both written and orally, both formally and informally in small groups, is an important aspect of the research training.