journal article·2024-12-27Open access

Modeling of a Non-Aqueous Redox Flow Battery for Performance and Capacity Fade Analysis

Mirko D’Adamo, Nicolas Daub, Lluis Trilla, Jose A. Saez-Zamora, Juan Manuel Paz-Garcia

Batteries· Volume 11· Issue 1

Abstract

This study presents a prototype non-aqueous redox flow battery that advances the capabilities of conventional systems by achieving a wide operational voltage range, high efficiency, and prolonged cycle life. Leveraging the redox pair 10-[2-(2-methoxy ethoxy)ethyl]-10H-phenothiazine and 2-ethylterephthalonitrile, the system delivers a discharge cell voltage ranging from approximately 2.25 V to 1.9 V. To address the economic challenges associated with non-aqueous redox flow batteries, this work explores a cost-efficient design using a symmetric cell architecture and a low-cost, porous separator. To evaluate the feasibility and scalability of this approach, a 2D time-transient reactive transport model is developed, integrating Nernst–Planck electroneutrality principles and porous electrode kinetics. The model is optimized and validated against experimental charge/discharge cycles, accurately predicting voltage behavior. Additionally, the study provides crucial insights into the crossover phenomenon, elucidating the transport dynamics and spatial distribution of active species within the cell. This comprehensive framework establishes a robust foundation for future efforts to scale and optimize non-aqueous redox flow batteries for large-scale energy storage applications, bringing them closer to commercial viability.
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Research context

OpenAlex topics: Advanced battery technologies research · Advanced Battery Technologies Research · Advancements in Battery Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

NVISION, Gran Via Carles III, 124, ent. 1a, 08034 Barcelona, Spain

Institut de Recerca en Energia de Catalunya—IREC, Jardins de les Dones de Negre 1, 2ª pl., 08930 Sant Adrià del Besòs, Spain

Department of Control, Robotics and Computer Vision, Barcelona School of Industrial Engineering (ETSEIB), Universitat Politècnica de Catalunya (UPC), Diagonal 647, 08034 Barcelona, Spain

Department of Chemical Engineering and Chemistry, Research Group of Molecular Materials and Nanosystems, Institute for Complex Molecular Systems, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands

Department of Chemical Engineering, University of Malaga, 29071 Malaga, Spain

Funding

Pla de Doctorats Industrials de la Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya · Dutch Research Council (NWO) · TED2021-130756BC31

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