Mirco Fabian Woidelko

M.Sc., M.A.
Research Assistant

Contact

Mirco Woidelko, M.Sc., M.A.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.004
Phone: +49 40 42878 4093
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Research Project

DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

Publications

TUHH Open Research (TORE)

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Quantitative Research Methods
Untertitel:
Module M1263: Quantitative Research Methods (L1714)
Semester:
WiSe 23/24
Veranstaltungsart:
Project Seminar Module
Veranstaltungstyp:
Projektgruppe (Organisation)
Veranstaltungsnummer:
M1263 / L1714
DozentIn:
Prof. Dr. Christian Ringle
Beschreibung:
Participants will understand the use, requirements, advantages, and disadvantages of quantitative methods. Examples illustrate the application of quantitative methods and their use to address business problems. The course involves three parts: - The first part of the course focuses on an introduction to quantitative research methods. - The second part of the course involves working on a seminar thesis. Participants are in teams invited to describe selected quantitative research methods and to address simple research questions with the described method. Students are expected to write a short (empirical) paper that applies methods learned in this course to a research question of their choice. - The third part is the final presentation of the results from the group work. Participants will present their own small research projects and discuss the results in the plenum. Participants are invited to join the discussions as a part of the final grade.
TeilnehmerInnen:
Students of the study degree program Mechanical Engineering and Management (MEM)
Voraussetzungen:
Basic knowledge in business administration and quantitative methods.
Lernorganisation:
Sessions by appointment.
Leistungsnachweis:
Written thesis and presentation.
ECTS-Kreditpunkte:
6
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Management and Decision Sciences [MDS] (W-9)
In Stud.IP angemeldete Teilnehmer: 13
Anzahl der Dokumente im Stud.IP-Downloadbereich: 3

Supervised Theses

ongoing
completed

2023

  • Babendererde, A. (2023). Regelung eines Umrichters zum Anschluss eines Wasserstoffspeicherkraftwerks an die Höchstspannungsebene.

2022

  • Lim, I. (2022). Modelling and Integration of a Hydrogen Storage Power Plant in the 10-Machine New-England Power System.

  • Lindner, J. (2022). Primärregelungskonzepte für einen Batteriepufferspeicher eines Wasserstoffspeicherkraftwerkes.

  • Rieckborn, N. (2022). Modellierung des Umwandlungsprozesses eines Wasserstoffspeicherkraftwerks.