Dynamic model of a post-combustion absorption unit for use in a non-linear model predictive control scheme

AbstractWith an increasing demand on load flexibility in power supply networks, advanced control systems for plants with carbon capture units gain in significance. Minimizing the energy demand for carbon dioxide removal under these circumstances is a major task of such a control strategy. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed. Starting from a rather detailed dynamic model of the process, model reduction is performed based on physical insight. The reduced model computes distinctly faster, shows similar transient behavior and reflects trends for optimal steady-state operations reported in the literature. The model is intended to be used in the framework of, a platform supporting non-linear dynamic optimization