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Title: A One-Dimensional Stack Model for Redox Flow Battery Analysis and Operation

Abstract

Current redox flow battery (RFB) stack models are not particularly conducive to accurate yet high-throughput studies of stack operation and design. To facilitate system-level analysis, we have developed a one-dimensional RFB stack model through the combination of a one-dimensional Newman-type cell model and a resistor-network to evaluate contributions from shunt currents within the stack. Inclusion of hydraulic losses and membrane crossover enables constrained optimization of system performance and allows users to make recommendations for operating flow rate, current densities, and cell design given a subset of electrolyte and electrode properties. Over the range of experimental conditions explored, shunt current losses remain small, but mass-transfer losses quickly become prohibitive at high current densities. Attempting to offset mass-transfer losses with high flow rates reduces system efficiency due to the increase in pressure drop through the porous electrode. The development of this stack model application, along with the availability of the source MATLAB code, allows for facile approximation of the upper limits of performance with limited empiricism. This work primarily presents a readily adaptable tool to enable researchers to perform either front-end performance estimates based on fundamental material properties or to benchmark their experimental results.

Authors:
; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1495871
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Published Article
Journal Name:
Batteries
Additional Journal Information:
Journal Name: Batteries Journal Volume: 5 Journal Issue: 1; Journal ID: ISSN 2313-0105
Publisher:
MDPI AG
Country of Publication:
Switzerland
Language:
English

Citation Formats

Barton, John L., and Brushett, Fikile R.. A One-Dimensional Stack Model for Redox Flow Battery Analysis and Operation. Switzerland: N. p., 2019. Web. doi:10.3390/batteries5010025.
Barton, John L., & Brushett, Fikile R.. A One-Dimensional Stack Model for Redox Flow Battery Analysis and Operation. Switzerland. doi:10.3390/batteries5010025.
Barton, John L., and Brushett, Fikile R.. Fri . "A One-Dimensional Stack Model for Redox Flow Battery Analysis and Operation". Switzerland. doi:10.3390/batteries5010025.
@article{osti_1495871,
title = {A One-Dimensional Stack Model for Redox Flow Battery Analysis and Operation},
author = {Barton, John L. and Brushett, Fikile R.},
abstractNote = {Current redox flow battery (RFB) stack models are not particularly conducive to accurate yet high-throughput studies of stack operation and design. To facilitate system-level analysis, we have developed a one-dimensional RFB stack model through the combination of a one-dimensional Newman-type cell model and a resistor-network to evaluate contributions from shunt currents within the stack. Inclusion of hydraulic losses and membrane crossover enables constrained optimization of system performance and allows users to make recommendations for operating flow rate, current densities, and cell design given a subset of electrolyte and electrode properties. Over the range of experimental conditions explored, shunt current losses remain small, but mass-transfer losses quickly become prohibitive at high current densities. Attempting to offset mass-transfer losses with high flow rates reduces system efficiency due to the increase in pressure drop through the porous electrode. The development of this stack model application, along with the availability of the source MATLAB code, allows for facile approximation of the upper limits of performance with limited empiricism. This work primarily presents a readily adaptable tool to enable researchers to perform either front-end performance estimates based on fundamental material properties or to benchmark their experimental results.},
doi = {10.3390/batteries5010025},
journal = {Batteries},
number = 1,
volume = 5,
place = {Switzerland},
year = {2019},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.3390/batteries5010025

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