TY - GEN
T1 - Lifetime Modeling and Analysis of Aqueous Organic Redox-flow Batteries for Renewable Energy Application
AU - Tang, Zhongting
AU - Sangwongwanich, Ariya
AU - Yang, Yongheng
AU - Wilhelmsen, Charlotte Overgaard
AU - Kristensen, Sebastian Birkedal
AU - Sørensen, Jens Laurids
AU - Muff, Jens
AU - Blaabjerg, Frede
PY - 2021/10/14
Y1 - 2021/10/14
N2 - Aqueous organic redox-flow batteries (AORFBs) are promising for large-scale renewable energy integration due to their low-cost, high safety, material-abundant and environment-friendly features. To promote the applications, this paper builds a lifetime model to characterize an AORFB with a specific (DHBQ/K4Fe(CN)6) electrolyte, where the model characteristics are dependent on both the state of charge (SOC) and the state of health (SOH). This model serves to optimize the AORFBs development (i.e., including the electrolyte selection, volume, concentrate and proton exchange membrane size). On the other hand, it provides guidance for the power converter design to enhance the performance and integration of AORFBs. The model has been built and validated according to three charge/discharge cycling tests. According to the charge and discharge characteristics in one cycle, a photovoltaic-Storage system is built in MATLAB/Simulink to demonstrate the application of the AORFB in renewable energy systems.
AB - Aqueous organic redox-flow batteries (AORFBs) are promising for large-scale renewable energy integration due to their low-cost, high safety, material-abundant and environment-friendly features. To promote the applications, this paper builds a lifetime model to characterize an AORFB with a specific (DHBQ/K4Fe(CN)6) electrolyte, where the model characteristics are dependent on both the state of charge (SOC) and the state of health (SOH). This model serves to optimize the AORFBs development (i.e., including the electrolyte selection, volume, concentrate and proton exchange membrane size). On the other hand, it provides guidance for the power converter design to enhance the performance and integration of AORFBs. The model has been built and validated according to three charge/discharge cycling tests. According to the charge and discharge characteristics in one cycle, a photovoltaic-Storage system is built in MATLAB/Simulink to demonstrate the application of the AORFB in renewable energy systems.
KW - Protons
KW - Photovoltaic systems
KW - Renewable energy sources
KW - Analytical models
KW - Solid modeling
KW - Electrolytes
KW - Mathematical models
U2 - 10.1109/ECCE47101.2021.9595507
DO - 10.1109/ECCE47101.2021.9595507
M3 - Article in proceeding
SN - 978-1-7281-6128-0
T3 - IEEE Energy Conversion Congress and Exposition
SP - 1400
EP - 1404
BT - 2021 IEEE Energy Conversion Congress and Exposition (ECCE)
PB - IEEE Communications Society
T2 - 2021 IEEE Energy Conversion Congress and Exposition (ECCE)
Y2 - 10 October 2021 through 14 October 2021
ER -