http://www.sciencedirect.com/science/article/pii/S187661021401858X

Combined in Silico Optimization of Solvents and Operating Conditions for
Carbon Capture Processes

Energy Procedia

Abdul Qadir , Suraj Sharma , Ali Abbas

The carbon capture process requires a large amount of energy resulting in
reduction in power plant power output. This energy penalty must be reduced
in order for carbon capture and sequestration (CCS) to become a viable
option for reducing carbon emissions. This paper presents an in silico
approach aimed at reducing the capture energy penalty through simultaneous
screening of capture solvents combined with optimization of process
conditions. The computation involves coupling an optimization algorithm to
a process model of the pre-combustion carbon capture (Pre-CC) process. A
library of 9 physical solvents was selected for screening. Subsequently,
optimization of process conditions around these solvents was performed in a
typical pressure swing C02 absorption process, with the optimization
objective specified for reduction in operating energies. Sulfolane
(2,3,4,5-tetrahydrothiophene-1,1-dioxide), an organosulfur compound
commonly used for C02 extraction in acid gas removal processes, was found
to have the lowest operating energy consumption (352kJ/ kgC02) recovered
from syngas.

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