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IEET > Staff > Research Assistants > Simon Stock, M.Sc.

Simon Stock

M.Sc.
Research Assistant

Contact

Simon Stock, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
Jederzeit
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 0.006
Phone: +49 40 42878 2378
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Research Projects

Applications of AI in distribution system operation

Applications of AI in distribution system operation

Hamburg University of Technology (TUHH); Duration: 2020 to 2024

to the project page
VeN²uS
Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

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

to the project page

Research Focus

Optimal operation and energy managment in electrical distribution grids (Smart Grids) using artifical intelligence

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Chemical Kinetics (VL)
Untertitel:
This course is part of the module: Special Areas of Process Engineering and Bioprocess Engineering
Semester:
WiSe 23/24
Veranstaltungstyp:
Vorlesung (Lehre)
Veranstaltungsnummer:
lv508_w23
DozentIn:
Prof. Dr. Raimund Horn, Dr. Oliver Korup
Beschreibung:

- Micro kinetics, formal kinetics, molecularity, reaction order, integrated rate laws

- Complex reactions, reversible reactions, consecutive reactions, parallel reactions, approximation methods: steady-state, pseudo-first order, numerical solution of rate equations , example : Belousov-Zhabotinskii reaction

- Experimental methods of kinetics, integral approach, differential approach, initial rate method, method of half-life, relaxation methods

- Collision theory, Maxwell velocity distribution, collision numbers, line of centers model

- Transition state theory, partition functions of atoms and molecules, examples, calculating reaction equilibria on the basis of molecular data only, heats of reaction, calculating rates of reaction by means of statistical thermodynamics

- Kinetics of heterogeneous reactions, peculiarities of heterogeneous reactions, mean-field approximation, Langmuir adsorption isotherm, reaction mechanisms, Langmuir-Hinshelwood Mechanism, Eley-Rideal Mechanism, steady-state approximation, quasi-equilibrium approximation, most abundant reaction intermediate (MARI), reaction order, apparent activation energy, example: CO oxidation, transition state theory of surface reactions, Sabatier´s principle, sticking coefficient, parameter fitting

- Explosions, cold flames
Leistungsnachweis:
650 - Special Areas of Process Engineering and Bioprocess Engineering<ul><li>605 - Ceramics Technology: Klausur schriftlich</li><li>605 - Chemical Kinetics: Klausur schriftlich</li><li>625 - Environmental Analysis: Klausur schriftlich</li><li>680 - Polymer Reaction Engineering: schriftliche Ausarbeitung</li><li>800 - Industrial Inorganic and Organic Processes: Klausur schriftlich</li><li>800 - Interfaces and Colloids: schriftliche Ausarbeitung</li><li>800 - Safety of Chemical Reactions: Klausur schriftlich</li><li>805 - Industrial biotechnology in Chemical Industriy: Presentation</li><li>805 - Solid Matter Process in Chemical Industry: schriftliche Ausarbeitung</li><li>835 - Lagrangian Transport in Turbulent Flows: written or oral</li><li>p1483 - Practice in bioprocess engineering: Presentation</li><li>p1570 - Optics for Engineers: Subject theoretical and practical work</li><li>p1571 - Optics for Engineers: Subject theoretical and practical work</li></ul><br>lv508 - Chemische Kinetik (Vorlesung)<ul><li>605 - Chemical Kinetics: Klausur schriftlich</li></ul><br>lv508 - Chemische Kinetik (Vorlesung)<ul><li>p582 - Chemical Kinetics: Klausur schriftlich</li></ul>
ECTS-Kreditpunkte:
2
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Chemische Reaktionstechnik (V-2)
In Stud.IP angemeldete Teilnehmer: 8
Anzahl der Dokumente im Stud.IP-Downloadbereich: 17

Supervised Theses

ongoing
completed

2021

  • Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.

  • Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.

  • Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.

  • Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.

2020

  • Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.

  • Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.

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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