Advanced LCA – Consequential and IO‑based Life Cycle Assessment

This course aims at strengthening skills in life cycle inventory analysis. The course introduces advanced inventory modelling using the techniques of consequential LCA and input-output (IO) LCA.

The course

Subject and programme:

The course strengthens skills in life cycle inventory analysis. It targets the development of advanced competences in LCA by applying the problem based-learning (PBL) teaching model that focuses on learning by doing and reflection and applying hybrid (online + onsite sessions) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/video-meeting is used for Q&A, hands-on exercises, discussions. Activities include intensive groupwork, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions. The course content is organised in three modules.

Module 1. Consequential LCA
Students will learn the fundamentals of Consequential LCA. Topics covered: Introduction to attributional and consequential models. Algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent coproducts. Communicating consequential models. The module includes exercises.

Module 2. Stochastic LCA
In this hands-on module students will learn how to use the software Brightway2 for stochastic and other LCA simulations. Topics covered: Computational structure of LCA. Computer simulation and statistical approaches for uncertainty and sensitivity analysis in LCA. LCA reproducibility and data sharing. The module includes exercises.

Module 3. Input output LCA
Students will learn the fundamentals of Input-Output modelling. Topics covered: supply-use tables, multi-regional models and trade linking. Integrating process LCA and IO-analysis via hybrid LCA, tiered and embedded. The module includes exercises.

Form and academic recognition:

When including readings and group work assignments, the total course workload corresponds to 5 ECTS (One ECTS credit is equivalent to 28 hours of work).

The five ECTS credits of the course are divided roughly in this way:

This course is organised yearly by The Technical Doctoral School of IT and Design, Aalborg University and Danish Centre for Environmental Assessment (DCEA) www.DCEA.dk, in collaboration with the International Life Cycle Academy (ILCA) www.ILCA.es and takes place at Aalborg University.

Teaching methods:

Activities: Includes attending to the lectures and performing exercises in class.

Readings: Approx. 100 pages of scientific articles and reports, that are provided to the students, plus python tutorials and videos.

Group work: students work in groups (max 5 people). Each group will work on a case study and apply the knowledge of the course on the case study.

EXAMPLE, a group works on an LCA of a product and does:

• prior to the course: choice of product and data mining, getting base knowledge and data to describe the product system.
• during the course (exercises in class): consequential inventory with matrix format, IO LCA inventory, inclusion of iLUC, inclusion of social impacts, etc.
• after the course: organise the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available. Each student will thus get the information on five different cases. Students should be able to organize themselves using online tools (skype, dropbox etc) to collaborate in group remotely prior and after the course.

Learning objective:

Knowledge
Theoretical elements cover: computational structure of LCA, computer simulation, uncertainty, and sensitivity analysis in LCA context, system models in LCA, algorithms for consequential LCA, monetary supply and use tables and different models for creating IO-model and hybrid LCA.

Skills
Practical modelling skills with software Brightway2, including uncertainty and sensitivity analysis (local and global). Practical skills in consequential LCA modelling including identification of functional unit, consumption mix, and solving multifunctionality via substitution. Communicating consequential LCA models. Modelling indirect land use changes in LCA. Practical skills in using IO and hybrid LCA.

Competences
Apply advanced software, modelling approaches, and databases to address, solve, and communicate complex prospective questions on the life-cycle impact of products, within a research context and beyond.

The practicalities

WHEN AND WHERE?:

Online sessions: 9-25 April 2024 and on site sessions: 13-15 May 2024. Both parts obligatory.

PARTICIPANT PREREQUISITES:

Masters degree or equivalent. Participants must bring own laptop computer. A good understanding and/or experience with life cycle assessment is an asset.

TEACHING STAFF:

Professor Jannick Schmidt, Aalborg University
Prof. Massimo Pizzol, Assoc.
Prof. Søren Løkke,
Assist. Prof. Agneta Ghose

Registration and further information:

See attached folder: Advanced-LCA-2024-flyer_compr
Please note: that the the 2024 edition is already fully booked. Apply to join the waitlist for the next edition (2025) via the google form in the PDF-file.