| KEYWORD |
Development of Physical or Data-Driven Models for the Degradation of Low-Temperature Electrolyzers (AEMEL and AEL)
keywords DURABILITY, ELECTROLYSERS, HYDROGEN
Reference persons ALESSANDRO HUGO ANTONIO MONTEVERDE
Research Groups CREST, Dipartimento di Scienza Applicata e Tecnologia (DISAT), Politecnico di To
Thesis type SIMULATION
Description This thesis focuses on the development of advanced models to understand and predict the degradation phenomena in low-temperature electrolyzers, specifically Anion Exchange Membrane Electrolyzers (AEMEL) and Alkaline Electrolyzers (AEL). The research aims to combine physical insights and data-driven methodologies to provide a comprehensive framework for modeling performance decay over time, considering both fundamental degradation mechanisms and empirical trends observed during operation.
Required skills Matlab, Simscape
Deadline 18/11/2025
PROPONI LA TUA CANDIDATURA