posted on 2024-03-25, 18:06authored byAlexander Schulze-Hulbe, Andries J. Burger, Jamie T. Cripwell
High energy requirements
are a key barrier to the wide-scale
adoption
of alkanolamine-based carbon capture processes. A potential solution
to this issue may lie in replacing water, the traditional cosolvent,
with an organic alternative. Accordingly, this work presents the continued
parametrization of the s-SAFT-γ Mie predictive group-contribution
equation of state toward a description of alkanolamine/CO2/organic cosolvent systems. A consistent and systematic methodology
is employed in extending s-SAFT-γ Mie to glymes and ethylene
glycols and their mixtures with alkanolamines. s-SAFT-γ Mie
provides robust qualitative descriptions of ethylene glycols and glymes
as well as mono- and diethers. While model predictions are not always
quantitative, the ability to obtain qualitatively meaningful results
for a wide range of components with a single transferable parameter
set underlines s-SAFT-γ Mie’s broad applicability. This
highlights s-SAFT-γ Mie’s value in preliminary process
design, where rapidly obtainable qualitative property estimates may
be preferable to time- and resource-intensive measurements.