12908 Material flow analysis of ressource and recycling systems
MFA is becoming an important tool in assessing the material flows within society consistently. The objective of this course is to introduce the concept and methodology of MFA with a specific focus on resource management and recycling systems. This course introduces and applies the MFA modelling software STAN (Version 2) developed at Vienna University of Technology.
Engelsk titel:
Material flow analysis of ressource and recycling systems
The course is based on 4 full days of lectures and exercises plus 20 hours of reading of articles, book chapters, documentation and technical reports
Kursets varighed:
[Kurset følger ikke DTUs normale skemastruktur]
Evalueringsform:
Hjælpemidler:
Bedømmelsesform:
Faglige forudsætninger:
Deltagerbegrænsning:
Minimum 15, Maksimum: 25
Overordnede kursusmål:
At the end of the course the participants should have a clear understanding of key issues in assessing resource management and waste systems.
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
The aim is to provide the participants necessary skills and expertise
The aim of this course is also to demonstrate the importance of communication of results within the framework of the STAN model.
Perform analyses of the technical system, and their mass flow in and out of the systems.
Become familiar with the application of the software tool STAN in assessing solid waste technologies and systems in a management context as well as in a research and technology development perspective.
Obtain hands-on experiences in setting up new technologies and processes in the model and in assessing the results in terms of limitations, data quality, uncertainty and main outcome.
Kursusindhold:
The course is targeted for PhD students or other professionals with experience/knowledge in waste and resource systems. The course consists of an overview of MFA methodology and theory. Several relevant case studies will be presented and explained in details. STAN, a free software to create MFA-models, will be introduced and taught. At the end of the course, participants will have a deep insight of MFA methodology, they will be able to analyse a system and establish different mass balances. Furthermore, participants will be able to use STAN, interpret the results of the model and cope with different modelling issues, such as time frame, uncertainty, and system boundaries. Details are provided below in terms of the daily program, the scheduled lectures and exercises.
