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
Join Nano Challenges of the ECIU University (PBL) [MA]
Subtitle:
This course is part of the module: Non-technical Courses for Master
Semester:
SoSe 24
Course type:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Course number:
lv2852_s24
Lecturer:
Prof. Dr. Kerstin Kuchta, Dipl.-Ing., Sascha Diedler
Description:

Join multidisciplinary and international teams at the ECIU University and solve nano challenges linked to the SDG11 - Sustainable cities and communities, provided by business and societal partners across Europe. Participation in nano challenges will allow you to make a real impact in the community, city, or region by solving real-time local, national, and global challenges with a new way of learning - the challenge-based learning.

Generalprocedure of a challenge:

  1. The nano challenge is provided by a city, region or business stakeholder and is entered on the ECIU UniversityChallenge platform (engage.eciu.eu).
  2. You register to the nano challenge you find relevant on the platform.
  3. An international and interdisciplinary team is formed from registered participants from all ECIU partner universities and a team facilitator from the host university is assigned.
  4. You work with the team on the nano challenge, engage, investigate, and propose non-technical solutions using the challenge-based learning methodology (https://eciu.tuhh.de/challenge-based-learning/).
  5. During the process, you can select relevant micro-modules from ECIU member universities that help you gain additional knowledge or skills that are relevant to solve the nano challenge.
  6. Finally, teams deliver their outputs- which may include services, products, research questions, start-ups and spin-offs.

By working in multi-disciplinary and/or international teams, you will build up inter-cultural competences and increase your network of expertise by developing problem-solving and team-work skills.

TUHH is major part of the ECIU University leading institution related to the Challenge-based learning. All ECIU challenges will constantly be updated at the challenge platform: engage.eciu.eu

“Nano challenges” are the smallest unit of challenges in the ECIU University and are supposed to be done within 1-2 days. Focus is to define your actual challenge, find suitable solution(s) and create ideas for further steps. https://eciu.tuhh.de/cbl-in-more-detail/

This course is aimed at Master students from member universities of the ECIU network (www.eciu.org). The course requires an independent approach to work, the willingness to learn independently about new non-technical topics and research methods, and the motivation to learn and participate in an international/disciplinary team.

Performance accreditation:
tm2852 - Join Nano Challenges of the ECIU University (Projekt-/problembasierte Lehrveranstaltung)<ul><li>p1718-2021 - Join Nano Challenges of the ECIU University: Subject theoretical and practical work</li></ul>
ECTS credit points:
1
Stud.IP informationen about this course:
Home institute: NTA - Nicht-technisches Angebot (0-NTA)
Participating institute: Institut für Circular Resource Engineering and Management [CREM] (V-11)
Registered participants in Stud.IP: 6
Documents: 1

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.

  • Möller, Julius (2024). Untersuchung von Kennzahlen zur Bewertung der Diskriminierungsfreiheit von Engpassmanagementmaßnahmen.

  • Wilke, Jan Jakob (2024). Definition leistungsbasierter Netzregeln zur Engpassvermeidung in elektrischen Verteilnetzen.

completed

2024

  • Ming, Zhao (2024). Conceptual Design for a grid demonstrator for teaching purposes and development of a suitable distribution grid simulation.

2023

  • Kock am Brink, Jonas (2023). Entwicklung einer Engpassprognose für elektrische Verteilnetze mittels probabilistischer Verfahren.