Literature DB >> 30843917

Theory of cyclic voltammetry in random arrays of cylindrical microelectrodes applied to carbon felt electrodes for vanadium redox flow batteries.

Tim Tichter1, Dirk Andrae, Jacob Mayer, Jonathan Schneider, Marcus Gebhard, Christina Roth.   

Abstract

In order to quantitatively investigate the kinetic performance and the pore size distribution of carbon felt electrodes for the application in vanadium redox flow batteries, the theory of cyclic voltammetry (CV) is derived for a random network of cylindrical microelectrodes on the base of convolutive modeling. In this context we present an algorithm based on the use of a modified Talbot contour for inverse Laplace transformation, providing the mass transfer functions required for the calculation of the CV responses in external cylindrical finite diffusion space. First-order homogenous chemical kinetics preceding and/or following the electrochemical reactions are implemented in this algorithm as well. The VO2+ oxidation is investigated as model reaction at pristine and electrochemically aged commercial carbon felt electrodes. A fit of simulated data to experimental data clearly shows that an electrochemical aging predominantly affects the kinetics of the electron transfer reaction and that internal electrode surfaces and pore size distributions remain constant. The estimated pore size distributions are in excellent agreement with porosimetry measurements, validating our theory and providing a new strategy to determine electrode porosities and electrode kinetics simultaneously via CV.

Entities:  

Year:  2019        PMID: 30843917     DOI: 10.1039/c9cp00548j

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

1.  Universal Algorithm for Simulating and Evaluating Cyclic Voltammetry at Macroporous Electrodes by Considering Random Arrays of Microelectrodes.

Authors:  Tim Tichter; Jonathan Schneider; Dirk Andrae; Marcus Gebhard; Christina Roth
Journal:  Chemphyschem       Date:  2020-02-06       Impact factor: 3.102

Review 2.  Family Tree for Aqueous Organic Redox Couples for Redox Flow Battery Electrolytes: A Conceptual Review.

Authors:  Peter Fischer; Petr Mazúr; Joanna Krakowiak
Journal:  Molecules       Date:  2022-01-16       Impact factor: 4.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.