The growing world
population creates an ever-increasing demand
for fresh drinkable water, and many researchers have discovered the
emerging capacitive deionization (CDI) technique to be highly promising
for desalination. Traditional modeling of CDI has focused on charge
storage in electrical double layers, but recent studies have presented
a dynamic Langmuir (DL) approach as a simple and stable alternative.
We here demonstrate, for the first time, that a Langmuir-based approach
can simulate CDI in multiple dimensions. This provides a new perspective
of different physical pictures that could be used to describe the
detailed CDI processes. As CDI emerges, effective modeling of large-scale
and pilot CDI modules is becoming increasingly important, but such
a modeling could also be especially complex. Leveraging the stability
of the DL model, we propose an alternative fundamental approach based
on relaxed adsorption-flow computations that can dissolve these complexity
barriers. Literature data extensively validate the findings, which
show how the Langmuir-based approach can simulate and predict how
key changes in operational and structural conditions affect the CDI
performance. Crucially, the method is tractable for simple simulations
of large-scale and structurally complex systems. Put together, this
work presents new avenues for approaching the challenges in modeling
CDI.