Correlations between Molecular Structure, Solvation Topology, and Transport Properties of Aqueous Organic Flow Battery Electrolyte Solutions

Nitesh Kumar, Wilma Rishko, Kevin R. Fiedler, Aaron Hollas, Jaehun Chun, Samantha I. Johnson

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Aqueous organic redox flow batteries (AORFBs) are considered promising technologies for storing energy generated from renewable resources. However, designing organic electrolyte molecules is limited by gaps between fundamental understanding of coupling between solvation structure and dynamics and macroscopic transport properties like viscosity. Herein, we used molecular dynamics simulations to understand correlations among ionic molecular structures, ion clustering, and transport properties in 2,3-dihydrophenazine (2,3-DHP), a promising AORFB anolyte. We show that experimentally measured viscosity can be reproduced from simulations at relevant concentrations and that the asymmetric structure of 2,3-DHP leads to a unique inhomogeneity in the solvation topology. However, order parameters and metrics need to be developed for better correlations over spatiotemporal scales with careful consideration of the inhomogeneity of organic anolyte molecules. We show that the increased size and asymmetry of the anolyte lead to breakdown of assumptions within methods for determining ion transport mechanisms previously developed for Li-ion batteries.

Original languageEnglish
Pages (from-to)3050-3057
Number of pages8
JournalACS Materials Letters
Volume5
Issue number11
DOIs
StatePublished - Nov 6 2023

Funding

The authors would like to thank Dr. Greg Schenter, Dr. Chris Mundy, Dr. Vijay Murugesan, Dr. Wei Wang, and Prof. Aurora Clark for their helpful discussions and editing of this manuscript and Dr. J. David Bazak for help with viscometer calibration. This research was supported by the Energy Storage Materials Initiative (ESMI), under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). Computational support was provided by Research Computing (RC) at PNNL as part of the LDRD program. PNNL is a multiprogram national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.

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