Organic
redox flow batteries are currently the focus of intense
scientific interest because they have the potential to be developed
into low-cost, environmentally sustainable solutions to the energy
storage problem that stands in the way of widespread uptake of renewable
power generation technologies. Because the search space of suitable
redox-active electrolytes is large, computational screening is increasingly
being employed as a tool to identify promising candidates. It is well
known in the computational chemistry literature that redox potentials
for organic molecules can be accurately calculated on a class-by-class
basis, but the general utility and accuracy of the relatively low-cost
quantum chemical methods used in high-throughput screening are currently
unclear. In this work, we measure the redox potentials of 24 commonly
available but chemically diverse redox-active organic molecules in
acetonitrile, carefully controlling experimental errors by using an
internal reference (a ferrocene/ferrocenium redox couple), and compare
these with redox potentials computed at B3LYP/6–31+G(d,p) using
a polarizable continuum model to account for solvation. Unlike previous
large-scale computational screening studies, this work carefully establishes
the accuracy of the computational procedure by benchmarking against
experimental results. While previous small-scale computational studies
have been carried out on structurally homologous compounds, this work
assesses the accuracy of the computational model across a variety
of compound classes, without applying class-dependent empirical corrections.
We find that redox potential differences for coupled one-electron
transfer processes can be computed to within 0.4 V and two-electron
redox potential differences can usually be computed to within 0.15
V.