Natural salinity gradients are a promising source of
so-called
“blue energy”, a renewable energy source that utilizes
the free energy of mixing for power generation. One promising blue
energy technology that converts these salinity gradients directly
into electricity is reverse electrodialysis (RED). Used at its full
potential, it could provide a substantial portion of the world’s
electricity consumption. Previous theoretical and experimental works
have been done on optimizing RED devices, with the latter often focusing
on precious and expensive metal electrodes. However, in order to rationally
design and apply RED devices, we need to investigate all related transport
phenomenaespecially the fluidics of salinity gradient mixing
and the redox electrolyte at various concentrations, which can have
complex intertwined effectsin a fully functioning and scalable
system. Here, guided by fundamental electrochemical and fluid dynamics
theories, we work with an iron-based redox electrolyte with carbon
electrodes in a RED device with tunable microfluidic environments
and study the fundamental effects of electrolyte concentration and
flow rate on the potential-driven redox activity and power output.
We focus on optimizing the net power output, which is the difference
between the gross power output generated by the RED device and the
pumping power input, needed for salinity gradient mixing and redox
electrolyte reactions. We find through this holistic approach that
the electrolyte concentration in the electrode rinse solution is crucial
for increasing the electrical current, while the pumping power input
depends nonlinearly on the membrane separation distance. Finally,
from this understanding, we designed a five cell-pair (CP) RED device
that achieved a net power density of 224 mW m–2 CP–1, a 60% improvement compared to the nonoptimized case.
This study highlights the importance of the electrode rinse solution
fluidics and composition when rationally designing RED devices based
on scalable carbon-based electrodes.