Finn Nußbaum

M.Sc.
Research Assistant

Contact

Finn Nußbaum, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.017
Phone: +49 40 42878 4092
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Research Project

KoLa
Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

Publications

TUHH Open Research (TORE)

2024

2023

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Waste Recycling Technologies (VL)
Subtitle:
This course is part of the module: Waste and Energy
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv47_s24
Lecturer:
Prof. Dr. Kerstin Kuchta, Dipl.-Ing.
Description:
  • Fundamentals on primary and secondary production of  raw materials (steel, aluminum, phosphorous, copper, precious metals, rare metals)
  • Use and demand of metals and minerals in industry and society
  • collection systems and concepts
  • quota and efficiency
  • Advanced sorting technologies
  • mechanical pretreatment
  • advanced treatment
  • Chemical analysis of Critical Materials in post-consumer products
  • Analytical tools in Resource Management (Material Flow Analysis, Recycling Performance Indicators, Criticality Assessment, statistical analysis of uncertainties)
Performance accreditation:
620 - Waste and Energy<ul><li>620 - Waste and Energy: Presentation</li></ul><br>621 - Waste and Energy<ul><li>620 - Waste and Energy: Presentation</li><li>821 - Compulsory Course Work Waste and Energy - Written Essay: schriftliche Ausarbeitung</li></ul>
ECTS credit points:
2
Stud.IP informationen about this course:
Home institute: Institut für Circular Resource Engineering and Management [CREM] (V-11)
Registered participants in Stud.IP: 40
Documents: 7

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.