Focus of the course "Advanced topics of waste resource management" lies on the organisational structures in waste management - such as planning, financing and logistics. One excursion will be offered to take part in (incineration plant, vehicle fleet and waste collection systems).
The course is split into two parts: 1. part: “
Pre-requisites:
Conventional”
Performance accreditation:
lecture (development of waste management, legislation, collection, transportation and organisation of waste management, costs, fees and revenues).</p> <p>2. part: Project base learning: You will get a project to work out in groups of 4 to 6 students
Miscellaneous:
all tools and data you need to work out the project were given before during the conventional lecture. Course documents are published in StudIP and communication during project work takes place via StudIP.</p> <p>The results of the project work are presented at the end of the semester. The final mark for the course consists of the grade for the presentation. </p> <p><br /></p>
ECTS credit points:
3
Stud.IP informationen about this course:
Home institute: Institut für Circular Resource Engineering and Management [CREM] (V-11)
Registered participants in Stud.IP: 19
Documents: 12
Supervised Theses
ongoing
2024
Ahmed, Taha (2024). Development of an iterative multi-agent coordination framework for congestion prevention in low voltage grids.
Busch, Marcel (2024). Entwicklung eines Netzmodells zur szenarienbasierten Untersuchung von Engpässen in heutigen und zukünftigen städtischen Verteilnetzen.
Lindner, Joost (2024). Entwicklung einer probabilistischen Lastprognose für die Niederspannungsebene elektrischer Verteilnetze.
Ming, Zhao (2024). Conceptual Design for a grid demonstrator for teaching purposes and development of a suitable distribution grid simulation.
Wilke, Jan Jakob (2024). Definition leistungsbasierter Netzregeln zur Engpassvermeidung in elektrischen Verteilnetzen.
completed
2023
Kock am Brink, Jonas (2023). Entwicklung einer Engpassprognose für elektrische Verteilnetze mittels probabilistischer Verfahren.