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High-Performance Asymmetric Flow-Electrode Capacitive Mixing with MnO<sub>2</sub>-Coated Activated Carbon Flow-Electrode for Energy Harvesting from Salinity Gradient Power

Insung Hwang, Dongsoo Lee, Yongmin Jung, Jaeik Kim, Jiwoon Kim, Chanho Kim, Donghyun Kim, SeungCheol Yang, Taeseup Song, Ungyu Paik

2022ACS Materials Letters15 citationsDOI

Abstract

Flow-electrode capacitive mixing (F-CapMix) is a promising energy harvesting system, utilizing the salinity gradient difference between seawater and river water. However, the conventional F-CapMix system has a low power density due to the limited charge storage of porous carbon materials through the electrical double layer. In this study, we first report manganese dioxide-coated activated carbon (MO@AC) as a flow-electrode material for the F-CapMix system. MnO2 nanoparticles could be easily decorated on the surface of activated carbon (AC) by the reduction of KMnO4 in an acidic medium. We systematically study electrochemical properties of AC and MO@AC-based flow-electrodes as positive and negative electrodes for both symmetric and asymmetric F-CapMix systems. The asymmetric F-CapMix system employing the MO@AC flow-electrode exhibits an outstanding power density of 2.22 W/m2 through the reversible redox reaction with Na+ ions. Our strategies can be extended to other materials that have redox reactions with Na+ and Cl– ions for the F-CapMix system.

Topics & Concepts

ElectrodeMaterials scienceElectrochemistryActivated carbonManganeseCarbon fibersRedoxInorganic chemistryMixing (physics)Capacitive deionizationChemical engineeringAnalytical Chemistry (journal)ChemistryComposite materialMetallurgyEnvironmental chemistryOrganic chemistryComposite numberPhysical chemistryAdsorptionEngineeringPhysicsQuantum mechanicsAdvanced battery technologies researchMembrane-based Ion Separation TechniquesSupercapacitor Materials and Fabrication
High-Performance Asymmetric Flow-Electrode Capacitive Mixing with MnO<sub>2</sub>-Coated Activated Carbon Flow-Electrode for Energy Harvesting from Salinity Gradient Power | Litcius