Literature DB >> 32505888

Equivalent film-electrode model for flow-electrode capacitive deionization: Experimental validation and performance analysis.

Li Wang1, Changyong Zhang2, Calvin He2, T David Waite2, Shihong Lin3.   

Abstract

Flow electrode capacitive deionization (FCDI) is a promising configuration for capacitive deionization due to its capability of continuous operation and achieving a relatively large salinity reduction. Due to the complexity of the multi-phase flow involved in FCDI, modeling FCDI system performance has been a challenge with no predictive FCDI model thus far developed. In this study, we developed an equivalent film-electrode (EFE) model for FCDI in which the flow electrodes are approximated as moving film electrodes that behave in a manner similar to conveyor belts. The EFE-FCDI model is validated using results from a series of FCDI experiments and then applied to elucidate the spatial variations of the key properties of the FCDI system and to resolve the contributions of different aspects of the system to energy consumption. The impact of activated carbon loading in the flow electrode and the feed and effluent target concentrations on the overall FCDI performance are also discussed based on model simulation. In summary, the EFE-FCDI model enhances our understanding of the system-level behavior of FCDI systems and can be employed for optimizing FCDI design and operation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2020        PMID: 32505888     DOI: 10.1016/j.watres.2020.115917

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  1 in total

Review 1.  Electrochemical Methods for Water Purification, Ion Separations, and Energy Conversion.

Authors:  Mohammad A Alkhadra; Xiao Su; Matthew E Suss; Huanhuan Tian; Eric N Guyes; Amit N Shocron; Kameron M Conforti; J Pedro de Souza; Nayeong Kim; Michele Tedesco; Khoiruddin Khoiruddin; I Gede Wenten; Juan G Santiago; T Alan Hatton; Martin Z Bazant
Journal:  Chem Rev       Date:  2022-07-29       Impact factor: 72.087

  1 in total

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