Design and optimization of carbon capture processes using ionic liquid solvents

Increasing carbon dioxide emissions and the resulting global warming are a critical environmental concern. Ionic liquids (ILs) have recently gained attention as promising absorbents for carbon capture due to their favorable chemical and physical properties. Consequently, there is a need to develop process modeling and mathematical optimization techniques for the design and operation of IL-based carbon capture processes to identify optimal design and operation. This review presents recent advances in modeling and optimization of carbon capture plants using ILs. We focus on flowsheet simulation, nonlinear dynamics, variations in plant load and energy prices, and multiscale design.