Influence of the electrocatalyst layer thickness on alkaline DEFC performance

Michaela Roschger*, Sigrid Wolf, Kurt Mayer, Andreas Billiani, Boštjan Genorio, Selestina Gorgieva, Viktor Hacker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Determining the optimum layer thickness, for the anode and cathode, is of utmost importance for minimizing the costs of the alkaline direct ethanol fuel cell (DEFC) without lowering the electrochemical performance. In this study, the influence of layer thickness on the performance of the ethanol oxidation reaction (EOR) and oxygen reduction reaction (ORR) in an alkaline medium and resistance was investigated. The prepared gas diffusion electrodes (GDEs) were fully characterized, with scanning electron microscopy to determine the layer thickness and electrochemically in half-cell configuration. Cyclic voltammetry and polarization curve measurements were used to determine the oxidation and reduction processes of the metals, the electrochemical active surface area, and the activity towards the ORR and EOR. It was demonstrated that realistic reaction conditions can be achieved with simple and fast half-cell GDE measurements. Single cell measurements were conducted to evaluate the influence of factors, such as membrane or ethanol crossover. In addition, electrochemical impedance spectra investigation was performed to identify the effect of layer thickness on resistance. This successfully demonstrated that the optimal layer thicknesses and high maximum power density values (120 mW cm−2) were achieved with the Pt-free catalysts and membranes used.
Original languageEnglish
Pages (from-to)1093-1106
Number of pages14
JournalSustainable Energy & Fuels
Volume7
Issue number4
DOIs
Publication statusPublished - 27 Jan 2023

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology
  • Renewable Energy, Sustainability and the Environment

Fields of Expertise

  • Advanced Materials Science
  • Mobility & Production

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