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Recent Developments and Trends in Redox Flow Batteries

  • Liang Su
  • Jeffrey A. Kowalski
  • Kyler J. Carroll
  • Fikile R. Brushett
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

Stationary energy storage systems are needed to facilitate the widespread integration of intermittent renewable electricity generators, such as solar photovoltaic and wind turbines, and to improve the energy efficiency of the electrical grid.  While no single technology can meet all needs, redox flow batteries (RFBs) have shown a favorable balance of cost, safety, and performance for many high-value applications.  RFBs are rechargeable electrochemical devices that utilize the reversible redox reactions of two soluble electroactive species for energy storage.  A compelling feature of the RFB configuration is the independent scaling of power and energy which enables cost-effective implementation of electrochemical couples with low energy density.  Aqueous RFBs have been the subject of the vast majority of research efforts to date, which have yielded industry-level demonstrations.  By comparison, non-aqueous RFBs are still in their infancy but have the potential for high energy density due to the extended stability window of non-aqueous electrolytes and the enriched selection of redox materials due to the broad variety of organic solvents.  This chapter aims to introduce emerging, potentially transformative, strategies for enhancing RFB technologies through molecular design, electrolyte development, and cell-level engineering.  Detailed discussions focus on recent developments in redox active materials (inorganic – aqueous, organic – aqueous, inorganic – non-aqueous, and organic – non-aqueous) and in system design (interdigitated flow fields, semi-solid flow cells, and hybrid flow cells).  Future research directions and key challenges for RFB technologies are also highlighted.

Keywords

Negative Electrode Propylene Carbonate Coulombic Efficiency Redox Flow Vanadium Redox Flow Batterie 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors gratefully acknowledge financial support from the Joint Center for Energy Storage Research, an Energy Innovation Hub funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, and from the Massachusetts Institute of Technology Energy Initiative’s (MITei) Seed Fund Program. In addition, we thank Jarrod Milshtein and Apurba Sakti for stimulating discussions and for assistance in figure development.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Liang Su
    • 1
  • Jeffrey A. Kowalski
    • 1
  • Kyler J. Carroll
    • 1
  • Fikile R. Brushett
    • 1
  1. 1.Department of Chemical EngineeringMassachusetts Institute of TechnologyCambridgeUSA

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