Skip to Main content Skip to Navigation
Journal articles

Fast Computing Flow Battery Modeling to Optimize the Choice of Electrolytes and Operating Conditions – Application to Aqueous Organic Electrolytes

Abstract : We have developed a 0D model of aqueous organic redox flow battery to have a better understanding of the impact of oxygen and hydrogen evolution as a parasitic side reaction on the evolution of the battery performances. This lumped approach model is able to account for multiple redox processes at each electrode, which, to our knowledge has not been described in the literature. In this article the study is focused on alkaline battery and the model has been validated on 2,6-dihydroanthraquinone/ferrocyanide electrolytes at laboratory full cell level. The model considers the electrochemical reactions, the electrolyte flow rate, the diffusion of the electroactive molecules from the bulk to the reaction sites, the transfer of cations through a perfluorosulfonic membrane and the ohmic losses. Furthermore, the electrochemical reactions accounted for include the reduction and the oxidation of water modeled with Tafel slopes. Thanks to this approach, we highlight the non-negligible role of oxygen evolution reaction in these conditions. The model is used as a tool to optimize operating conditions as well as to predict the most advantageous potential of electrolytes to enhance performances and limit side reactions. For example, under alkaline condition (pH = 14), the negolyte standard potential can be targeted to -0.8 V without competing with HER, however, the posolyte potential must be kept below 0.65 V to avoid competition with OER.
Document type :
Journal articles
Complete list of metadata

https://hal-ifp.archives-ouvertes.fr/hal-03353804
Contributor : Catherine Belli Connect in order to contact the contributor
Submitted on : Friday, September 24, 2021 - 1:14:36 PM
Last modification on : Thursday, October 21, 2021 - 3:33:28 AM

Identifiers

Collections

IFP

Citation

Quentin Cacciuttolo, Martin Petit, David Pasquier. Fast Computing Flow Battery Modeling to Optimize the Choice of Electrolytes and Operating Conditions – Application to Aqueous Organic Electrolytes. Electrochimica Acta, Elsevier, 2021, 392, pp.138961. ⟨10.1016/j.electacta.2021.138961⟩. ⟨hal-03353804⟩

Share

Metrics

Record views

15