Degradation Modeling of Electrolysis Cells

Institut

Lehrstuhl für Energiesysteme (TUM-ED)

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Reversible solid oxide cells (rSOC) can alternate between generating electricity as fuel cells and converting
electricity into hydrogen and methane in electrolysis mode. This makes them well suited for
combining the gas and electricity grid. Their economic profitability depends heavily on cell lifetime. In a
collaborative project, we are working with a startup 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 will not be described as an average voltage loss but rather as a time-dependent
change in physical model parameters such as activation energies and limiting current densities.
Each mechanism will be modeled by a correlation that depends on the operating conditions (temperature,
current density, gas composition, operating mode). Implemented in Python, this model will be the
basis to predict long term SOC degradation.

Voraussetzungen

• Solid foundation in chemical reaction engineering and physical modeling
• Solid programming skills in Python
• Helpful: mathematical understanding of optimization

Möglicher Beginn

sofort

Kontakt

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