Advanced LCA – Consequential and IO-based Life Cycle Assessment (2027)
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Welcome to Advanced LCA – Consequential and IO-based Life Cycle Assessment (2027)
The course aims ...
Welcome to Advanced LCA – Consequential and IO-based Life Cycle Assessment (2027)
The course aims at strengthening skills in life cycle inventory analysis. The course 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. We also apply a hybrid (online + physical) and flipped classroom approach where materials (readings, videos) are provided to the students in advance and the time spent in classroom/videomeeting is used for Q&A, hands-on exercises, discussions. The course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions or workshops.
The target audience of the course is academics (PhDs, postdoc, other) or professionals who already have basic experience with LCA and intend to bring their LCA competences to an advanced level. Basic experience means for example having carried out simple LCAs before or having elementary knowledge of LCA theory. The course content is organized 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.
Prices:
| Attendee | Price* |
|---|---|
| PhD students affiliated to a Danish University | Free |
| PhD students not affiliated to a Danish University | 4.500 DKK (600 EUR) |
| Academics (e.g. postdoc and professors) | 9.000 DKK (1200 EUR) |
| Professionals (consultancy, industry, etc.) | 18.000 DKK (2400 EUR) |
*Prices do not cover meals or accommodation.
Organizers:
The course is organized by the Life Cycle Sustainability group
The backbone of LCS is rooted in systems thinking and like cycle thinking, interdisciplinarity, and sound science to support decisions towards sustainability at the Department of Sustainability and Planning, via the Technical Doctoral School of IT and Design of Aalborg University.
Registration and info:
Please apply via mail to the course organizer Massimo Pizzol (massimo@plan.aau.dk) or via the website here: https://www.en.plan.aau.dk/research/life-cycle-sustainability/advanced-lca-course
This course targets the development of advanced competences in LCA by applying the PBL teaching model that focuses on learning by doing and reflection.
ECTS: 5.0
The five ECTS credits of the course are divided roughly in this way:
| Activity | Hours | ECTS |
|---|---|---|
| Lectures and group work in class | 50 | 1.8 |
| Readings | 35 | 1.3 |
| Group work prior to course | 20 | 0.7 |
| Group work after course | 35 | 1.3 |
| Total | 140 | 5.0 |
One ECTS credit is equivalent to 28 hours of work.
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.
Organizer: Massimo Pizzol
Lecturers: Massimo Pizzol (Prof.), Jannick Schmidt (Prof.), Søren Løkke (Lektor.), Agneta Ghose (Lektor)
ECTS: 5 ECTS
Date: 16, 18, 30 March 2027 (Online)
1, 13, 15 April 2027 (Online)
3, 4, 5 May 2027 (Onsite, Room 3.429)
Place: Aalborg University
City: Aalborg
Number of seats: 30
Open for enrolment: 16 November 2026
Deadline for enrolment: 23 February 2027
Important information concerning PhD courses:
There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.
We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.
You may find more information in our FAQ: https://phd.moodle.aau.dk/local/page/faq
For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk. When contacting us please state the course title and course period. Thank you.