Process model for flow-electrode capacitive deionization for energy consumption estimation and system optimization

doi:10.1016/j.watres.2022.119517

2023-02-01

PRE

Chufeng Shi

王洪阳 (Hongyang Wang) *

DOI：10.1016/j.watres.2022.119517

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摘要

En 中文

Flow-electrode capacitive deionization (FCDI) is a new technology for ion removal that delivers sustainable deionization performance. However, FCDI consumes relatively high amounts of energy compared with other conventional desalination technologies, which hinders the industrial application of FCDI. In this study, the en-ergy consumption of each FCDI component was simulated using a steady-state FCDI model to investigate and optimize the main components of energy consumption. Overall, the established process model can be used for theoretical investigation and enhancing our fundamental understanding of the energy consumption of each FCDI component, and provides the design and optimization of FCDI systems. The results showed that the energy consumption of the flow electrodes dominated under most conditions. Changing the operating parameters could obviously affect energy consumption and the energy consumption structure. However, increasing the flow rate and activated carbon (AC) content of the flow-electrode could decrease the energy consumption of the electrode, and the energy consumed by the ion-exchange membranes (IEMs) and desalination chamber was the greatest. These two parts of energy consumption could not be significantly reduced by changing operational parameters. Thus, to further reduce the energy consumption, optimization of the FCDI equipment was carried out by adding titanium mesh to the flow electrodes and the desalination chamber of the FCDI cell. The results showed that the energy consumption of optimized FCDI decreased by 51.9% compared with the original FCDI. The long-term experiment using optimized FCDI showed good stability and repeatability.

Keyword:

Flow -electrode capacitive deionization

Process model

Energy consumption

Energy consumption structure

Titanium mesh

Long-term stability