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IEET > Staff > Research Assistants > Béla Wiegel, M.Sc.

Béla Wiegel

M.Sc.
Research Assistant

Contact

Béla Wiegel, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C2 1.001
Phone: +49 40 42878 2240
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Research Projects

EffiziEntEE
Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

to the project page
CyEntEE
I³-Lab Cyber Physical Energy Systems – Sustainability, Resilience and Economics

I³-Lab

CyEntEE

Cyber Physical Energy Systems – Sustainability, Resilience and Economics

Hamburg University of Technology (TUHH); Duration: 2020 to 2023

to the project page

Publications

TUHH Open Research (TORE)

2024

2023

2022

2021

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Abgesagt! Seminare.EIM: From linear to non-convex optimization (CSBS, DSBS, IIWBS, TMBS, CSMS, IIWMS)
Semester:
WiSe 23/24
Course type:
Seminar
Lecturer:
Dr. Anna Katharina Kirf, Prof. Dr. Martin Kliesch
Description:
Optimization problems are ubiquitous in most scientific fields and engineering. The easiest such problems are linear and already have numerous applications. They are special cases of convex optimization problems, which are often efficiently solvable with many software implementations available. Many optimization problems are non-convex and are often hard to solve. This seminar aims to provide a basic understanding of general principles of `easy' optimization problems (convex optimization). We will see selected examples for the theoretical analysis of standard algorithms for these problems. Then, we will also see example classes of non-convex optimization problems and heuristic ways to solve them. Throughout, there are opportunities to do numerical experiments with standard optimization packages as well as to look into examples for important applications.
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
Registered participants in Stud.IP: 4
Documents: 1

Supervised Theses

ongoing
completed

2022

  • Kaya, E. (2022). Simulation des Lebenszyklus‘ einer Lithium Ion Zelle in den stationären EP and instationären EV Anwendungsfällen.

  • Pauelsen, F.-T. (2022). Implementierung eines Maximum-Power-Point-Tracker für Photovoltaikanlagen in Modelica.

  • Rücker, J. (2022). Dynamische Untersuchung des Verhaltens elektrischer Komponenten auf Quartiersebene hinsichtlich der Spannungshaltung.

  • Rüffert, J. (2022). Charakterisierung von Zellen in Verteilnetzen anhand von Bewertungskriterien und die Auswirkungen von punktuell und zeitlich begrenzt auftretenden Lasten.

2021

  • Helmrich von Elgott, L. (2021). Optimierter Einsatz dezentraler Flexibilität zur Betriebsführung intelligenter sektorgekoppelter Verteilnetze.

  • Zwinzscher, S. (2021). Entwicklung einer Methodik zur dynamischen Berechnung der Flexibilität eines auf Power-to-Heat basierenden Nahwärmenetzes.

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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