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Advanced LCA – Consequential and IO-based Life Cycle Assessment

Introduction

Welcome to Advanced LCA – Consequential and IO-based Life Cycle Assessment

Description:

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 LCAStudents 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 LCAStudents 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.

Organizer: Massimo Pizzol

Lecturers: Massimo Pizzol, ProfessorJannick Schmidt, ProfessorSøren Løkke, Associate ProfessorAgneta Ghose, Assistant Professor

Date: 24,26 March, 7,9,21,23 April 2025

Place: TBA

City: Aalborg

ECTS: 5

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 

You must provide the following information in the email: Full name / Profession (PhD student, postdoc, consultant…) / Institution name / Address / email address / Phone nr / your research field or Phd topic / your experience with LCAECTS

Price:

PricesAttendee / 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

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.

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.

To participate in the course, you must register here.

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