A one-dimensional model for water desalination by flow-through electrode capacitive deionization

TL;DR

This paper introduces a simple one-dimensional model for flow-through electrode capacitive deionization (FTE CDI) that accurately predicts desalination performance, simplifying the engineering analysis compared to more complex models.

Contribution

The paper presents the first one-dimensional model for FTE CDI that fits experimental data well, simplifying the analysis of this desalination technology.

Findings

Good agreement between model and experimental data.

Simple boundary conditions effectively describe desalination performance.

FTE CDI can be modeled with 1D models, unlike traditional 2D models.

Abstract

Capacitive deionization (CDI) is a fast-emerging water desalination technology in which a small cell voltage of ~1 V across porous carbon electrodes removes salt from feedwaters via electrosorption. In flow-through electrode (FTE) CDI cell architecture, feedwater is pumped through macropores or laser perforated channels in porous electrodes, enabling highly compact cells with parallel flow and electric field, as well as rapid salt removal. We here present a one-dimensional model describing water desalination by FTE CDI, and a comparison to data from a custom-built experimental cell. The model employs simple cell boundary conditions derived via scaling arguments. We show good model-to-data fits with reasonable values for fitting parameters such as the Stern layer capacitance, micropore volume, and attraction energy. Thus, we demonstrate that from an engineering modeling perspective, an FTE CDI cell may be described with simpler one-dimensional models, unlike more typical flow-between electrodes architecture where 2D models are required.