3.8 Proceedings Paper

Lifetime Modeling and Analysis of Aqueous Organic Redox-flow Batteries for Renewable Energy Application

Journal

Publisher

IEEE
DOI: 10.1109/ECCE47101.2021.9595507

Keywords

Lifetime modeling; redox-flow batteries; renewable energy; state of charge (SOC); state of health (SOH)

Funding

  1. Novo Nordisk Fonden through the Interdisciplinary Synergy Programme [NNF18OC0034952]

Ask authors/readers for more resources

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. The lifetime model characterized in this paper provides important guidance for the development and optimization of AORFBs, as well as for power converter design to enhance performance and integration.
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 arc 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 MATIAB/Simulink to demonstrate the application of the AORFB in renewable energy systems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available