Solvent-based chemical CO2 capture involves the absorption of CO2 through a combination of chemical reactions and physical processes. For effective design, operation, and optimisation of the capture process, accurate and robust simulation is required.
Uncertainties in a measured value or a process parameter can affect the accuracy of a process unit’s simulation results. Inaccurate process designs for carbon capture can have large (potentially catastrophic) effects on the performance of carbon capture processes, and subsequent steps in the CCUS value chain (transport and storage).
This project will investigate the impact of uncertainties in experimental data and model parameters, evaluating how these uncertainties propagate through and influence the outputs of the carbon capture process. Performing this will thus enable an understanding of the extent of propagation of uncertainties, and optimisation of the carbon capture process. These findings will be integrated in software tools, which can be employed to simulate the solvent-based carbon capture process.
The project is funded by INNO-CCUS and SLB.
Main supervisor: Nicolas von Solms
Co- supervisor: Philip Loldrup Fosbøl