An Integrated Framework for the Dynamic Modelling of Solvent-based CO2 Capture Processes

Abstract

Abstract The most mature technology for CO2 capture is absorption with suitable solvents, be it physical or chemical. However, important issues still need to be addressed. Two of the most prominent are: a) the large energetic costs involved, and b) the need for capture plants to operate flexibly. Recently, considerable research efforts have been devoted to both the identification of optimal solvents, and the development of improved capture plant process configurations and operating conditions. These two aspects are generally regarded as the main drivers that can bring down the costs associated with solvent-based CO2 absorption processes. Additionally, an understanding of the dynamic behavior of capture plants is imperative in order to design CCS chains that will be increasingly subjected to variable electricity demand. This work introduces a predictive dynamic modelling framework for solvent-based CO2 absorption, part of the gCCS system modelling environment for CCS chains. The framework aims to serve as a platform to address the issues abovementioned, among others. Applications to optimization and dynamic studies are presented.