Kinetic Degradation Modelling of Reversible Solid Oxide Cells in a 0D Python Model

Institut

Lehrstuhl für Energiesysteme (TUM-ED)

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Reversible solid oxide cells (rSOC) can alternate between generating electricity as a fuel cell and converting
electricity into chemical energy carriers as an electrolyser. This makes them well suited for flexibly
coupling the power and gas grids. Their economic viability, however, depends critically on cell lifetime.
In a collaborative project, the Chair of Energy Systems is working with an industrial partner to
investigate the degradation of short stacks. The aim is a physically founded prediction of how stack
performance develops over several years of operation.
In this thesis, degradation is not described as a lumped voltage loss but as a time-dependent change in
physical model parameters. Examples include the decrease in triple-phase boundary length due to nickel
coarsening, chromium poisoning of the air electrode, and the increase in ohmic resistance due to oxide
scale growth. Each mechanism is described by a law that depends on the operating conditions (temperature,
current density, gas composition, operating mode). Integrated into the chair's 0D model, it yields
the evolution of cell voltage, area-specific resistance and impedance spectra over time.
Requirements

Voraussetzungen

• Interest in electrochemistry and chemical reaction engineering
• Solid programming skills in Python
• Helpful: mathematical understanding of optimization

Tags

Python, Electrolysis, Fuel Cell, Modelling, Simulation, Degradation, SOC

Möglicher Beginn

sofort

Kontakt

Jan-David Ridder, M. Sc.
Raum: MW 3711
Tel.: 089 289 16287
jandavid.riddertum.de

Ausschreibung