Increasing
atmospheric concentrations of greenhouse gases due to
industrial activity have led to concerning levels of global warming.
Reducing carbon dioxide (CO2) emissions, one of the main
contributors to the greenhouse effect, is key to mitigating further
warming and its negative effects on the planet. CO2 capture
solvent systems are currently the only available technology deployable
at scales commensurate with industrial processes. Nonetheless, designing
these solvents for a given application is a daunting task requiring
the optimization of both thermodynamic and transport properties. Here,
we discuss the use of atomic scale modeling for computing reaction
energetics and transport properties of these chemically complex solvents.
Theoretical studies have shown that in many cases, one is dealing
with a rich ensemble of chemical species in a coupled equilibrium
that is often difficult to characterize and quantify by experiment
alone. As a result, solvent design is a balancing act between multiple
parameters which have optimal zones of effectiveness depending on
the operating conditions of the application. Simulation of reaction
mechanisms has shown that CO2 binding and proton transfer
reactions create chemical equilibrium between multiple species and
that the agglomeration of resulting ions and zwitterions can have
profound effects on bulk solvent properties such as viscosity. This
is balanced against the solvent systems needing to perform different
functions (e.g., CO2 uptake and release) depending on the
thermodynamic conditions (e.g., temperature and pressure swings).
The latter constraint imposes a “Goldilocks” range of
effective parameters, such as binding enthalpy and pK
a, which need to be tuned at the molecular level. The
resulting picture is that solvent development requires an integrated
approach where theory and simulation can provide the necessary ingredients
to balance competing factors.