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
Logo

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
Thermal Waste Treatment (HÜ)
Subtitle:
This course is part of the module: Waste Treatment and Solid Matter Process Technology
Semester:
SoSe 24
Course type:
Exercise
Course number:
lv1177_s24
Lecturer:
Prof. Dr. Kerstin Kuchta, Dipl.-Ing.
Description:
  • Introduction, actual state-of-the-art of waste incineration, aims. legal background, reaction principals
  • basics of incineration processes: waste composition, calorific value, calculation of air demand and flue gas composition 
  • Incineration techniques: grate firing, ash transfer, boiler
  • Flue gas cleaning: Volume, composition, legal frame work and emission limits, dry treatment, scrubber, de-nox techniques, dioxin elimination, Mercury elimination
  • Ash treatment: Mass, quality, treatment concepts, recycling, disposal
Performance accreditation:
670 - Waste Treatment and Solid Matter Process Technology<ul><li>670 - Waste Treatment and Solid Matter Process Technology: Klausur schriftlich</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: 25

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.