Journal
SMALL
Volume 18, Issue 43, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.202107720
Keywords
density functional theory; electrical double layers; electrode kinetics; kinetic Monte Carlo; organic flow batteries
Categories
Funding
- European project SONAR [875489]
- Institut Universitaire de France
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This study presents a 3D kinetic Monte Carlo model to study the electrode-anolyte interface of an organic redox flow battery. The model captures various electrode processes and demonstrates the formation of the electrical double layer due to ionic transport. The simulated electrochemical kinetics are found to be in agreement with the Nernst equation. The flexibility of the model allows for simulating the behavior of different redox couples and considering other molecular-scale phenomena.
Finding low-cost and nontoxic redox couples for organic redox flow batteries is challenging due to unrevealed reaction mechanisms and side reactions. In this study, a 3D kinetic Monte Carlo model to study the electrode-anolyte interface of a methyl viologen-based organic redox flow battery is presented. This model captures various electrode processes, such as ionic displacement and degradation of active materials. The workflow consists of input parameters obtained from density functional theory calculations, a kinetic Monte Carlo algorithm to simulate the discharging process, and an electric double layer model to account for the electric field distribution near the electrode surface. Galvanostatic discharge is simulated at different anolyte concentrations and input current densities, which demonstrate that the model captured the formation of the electrical double layer due to ionic transport. The simulated electrochemical kinetics (potential, charge density) are found to be in agreement with the Nernst equation and the obtained EDL structure corresponded with published molecular dynamics results. The model's flexibility allows further applications of simulating the behavior of different redox couples and makes it possible to consider other molecular-scale phenomena. This study paves the way for computational screening of active species by assessing their potential kinetics in electrochemical environments.
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