Welcome to Advanced LCA - Consequential Modelling, EIO LCA, iLUC and Social LCA


The course introduces to advanced inventory modelling using the techniques of consequential LCA and input-output (IO) LCA. The students will apply algorithms for performing consequential LCA in the definition of functional unit, consumption mix, and identification of determining and dependent co-products. Then, the students will apply IO LCA to create hybrid inventories combining monetary and biophysical flows, and learn how to this technique is applicable to a range of purposes from mass-flow analysis to life cycle costing. The course continues by bringing the above mentioned theories further into practice on two specific cases: modelling of indirect Land Use Changes (iLUC) and socio-economic impacts. The course aims at strengthening skills in life cycle inventory analysis and targets the development of advanced competences in LCA. In the course, the problem based-learning (PBL) teaching model is applied, that focuses on learning by doing and reflection. Following the PBL model, the course activities will include intensive group work, problem defining and solving applied to real-word cases, practical exercises, and discussion sessions. The course includes five days of full-time activities (09:00-16:00). When including readings, group work assignments, and lectures, the total course workload corresponds to 5 ECTS (1 ETCS = 25 hours of work for the student). Optionally, participants can choose to write a paper based on their PhD project and combining the know-how developed during the course, and receive professional guidance from the course lecturers, based on distance supervision. Choosing the “paper writing”  option gives additional 3 ECTS, and the submission of the paper will have deadline 8 weeks after the last day of the course. The courses targets primarily PhD students but is open to professionals and academics as well.


Preliminary program

Day 1-2: Consequential modelling in life cycle inventory (BW, JS, SL, MP)

Day 3: Input-output modelling: the basics, hybrid LCA, IO-based mass flow analysis (BW, JC, SL, MP)

Day 4: Modelling of indirect land use change (BW, JS, SL, MP)

Day 5: Social LCA (BW)

ECTS Distribution

The 5 ECTS credits of the course are divided approximately in this way:





Lectures and group work in class






Group work prior to course



Group work after course







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.

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. etc. etc.
  • after the course: organize the material and prepare a portfolio/article where all the techniques are presented for the case study.

Eventually, all portfolios are made available on moodle. Each student will thus get the info 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.

Organizer: Associate Professor Massimo Pizzol, e-mail: massimo@plan.aau.dk

Lecturers: Professor Bo Weidema (BW), Associate Professor Jannick Schmidt (JS), Associate Professor Søren Løkke (SL), Associate professor Massimo Pizzol (MP)

ECTS: 5.0 or 8.0 (please find more information above)

Time: June 20-24, 2016

Place: Skibbrogade 5, room Skb5 C1/12

9000 Aalborg

Number of seats: 25

Deadline: May 1st , 2016

Course fee


Price 5 ECTS**

Price (incl paper writing) 5+3 ECTS**

PhD students (Danish)*

1.125 DKK

(150 EUR)

1.125 DKK

(150 EUR)

PhD students (non-Danish)*

3.000 DKK

(400 EUR)

4.500 DKK

(600 EUR)

Academics (e.g. postdoc)

7.500 DKK

(1000 EUR)

11.250 DKK

(1500 EUR)

Professionals (outside academia)

15.000 DKK

(2000 EUR)

22.500 DKK

(3000 EUR)

* Due to a treaty among Danish universities, there is no admission fee for Danish PhD students – only course material and meals supplied during the course are charged.

** Accommodation, breakfast, and dinner are not included. Social dinner Monday is included. 

Payment method

Bank transfer paid to the following account (deadline two weeks prior to course start):
Bank: Danske Bank, Prinsensgade 11, 9000 Aalborg
Account No: 4368-9189629
IBAN No: DK6730000009189629
Payment to Aalborg University, Skibbrogade 5, DK-9000 Aalborg

Reference: Your name and course name/10-212025-64301-762001-76262

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before 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 three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.