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IEET > Staff > Research Assistants > Christina Eckel, M.Sc.

Christina Eckel

M.Sc.
Research Assistant

Contact

Christina Eckel, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.002
Phone: +49 40 42878 2377
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Research Project

Stability and Grid Control in Transmission Systems with inverter-coupled resources

Stability and Grid Control in Transmission Systems with inverter-coupled resources

Hamburg University of Technology (TUHH); Duration: 2021 to 2025

to the project page

Publications

TUHH Open Research (TORE)

2024

2023

2022

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Foundations in Organizational Design and Human Resource Management (Lecture) (VL)
Untertitel:
This course is part of the module: Foundations in Organizational Design and Human Resource Management
Semester:
SoSe 24
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv2799_s24
DozentIn:
Prof. Dr. Christian Ringle, Prof. Dr. Tim Schweisfurth
Beschreibung:

Thiscourse is structured as a lecture and a seminar. The lecture focuses on gainingan understanding of the fundamentals of human resource management andorganizational design. The lecture also introduces quantitative and businessanalytics methods for decision making in the field. In the lecture, the basictheoretical concepts are explained and discussed, whereas they are applied throughthe preparation of a seminar thesis in the seminar.

Organizational Design &Human Resource Management

  • The processes of developing organizational structures for small and mid-sized corporations as well as for large multinational enterprises;
  • The adaptation of organizations and their structures to the competitive environment, with special focus on international operating organizations and global markets;
  • Introduction to human resource management from a strategic and international perspective (incl. the typical challenges of international organizations);
  • Key elements of human resource management (incl. design of work, employee recruitment, development, separation & retention);
  • Introduction of methods and models for decision making in organizational design and human resource management.

Possible Applications of the Theoretical Concepts

  • Big data in organizations and human resource analytics;
  • Business analytics and machine learning methods (e.g., factoranalysis, regression analysis, and structural equation modeling);
  • Models for the management of organizations and human resourcemanagement (e.g., job satisfaction and turnover intention, motivation andorganizational commitment).
Leistungsnachweis:
m1733-2021 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2021 - Foundations in Organizational Design and Human Resource Management: Klausur schriftlich</li></ul><br>m1733-2022 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2022 - Foundations in Organizational Design and Human Resource Management: Subject theoretical and practical work</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Management and Decision Sciences [MDS] (W-9)
In Stud.IP angemeldete Teilnehmer: 41
Anzahl der Dokumente im Stud.IP-Downloadbereich: 43

Supervised Theses

ongoing

2024

  • Bahe, B. (2024). Nichtlineare Stabilitätsuntersuchungen in einem leistungselektronisch dominierten elektrischen Energiesystem.

completed

2024

  • Boehm, E. (2024). Einfluss des Netzäquivalents auf die Stabilität eines Netzes mit netzbildenden und netzfolgenden Umrichtern.

  • Helmich, L. M. (2024). Entwicklung und Simulation eines Effektivwertmodells für STATCOM-Anlagen mit neuartigen Regelstrategien für Pendeldämpfungen in PowerFactory.

  • Rüter, C. (2024). Einfluss der Netzstärke auf die Kleinsignalstabilität netzbildender Umrichter mit virtueller Oszillator-Regelung.

  • Schultheiß, J. (2024). Impedanzbasierte Stabilitätsanalyse zur Bewertung der Stabilitätsgrenzen von DC- und AC-Netzen.

2023

  • Chouiter, B. (2023). Dynamic Phasor Modelling and Comparison to Classical EMT Models.

  • Helmich, L. M. (2023). Entwicklung und Simulation einer Regelstrategie für die Pendeldämpfung durch STATCOM-Geräte.

  • Kamma, J. (2023). Umrichtermodellierung zur Repräsentation von Interaktionen im Sinne der Converter-Driven Stability.

  • Mißfeldt, C. (2023). Einfluss von Zeitverzögerungen auf die Converter-Driven Stability.

  • Rosenau, Y. (2023). Einfluss netzbildender Umrichter-Regelungsstrukturen auf die "Converter-Driven Stability".

2022

  • Kumar, M. (2022). Modellierung und Vergleich des Frequenzverhaltens dezentraler Anlagen mit netzbildenden Eigenschaften oder beigestellter Schwungmasse.

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

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

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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