This publication, prepared by our project partners Cybernetica and SINTEF Industry, is a proceeding from the 34th European Symposium on Computer Aided Process Engineering and the 15th International Symposium on Process Systems Engineering (ESCAPE34/PSE24), held in Florence, Italy, from June 2-6, 2024.
Solutions for advanced control of CO2 capture processes have been developed and tested on pilot scale, with full-height absorber and desorber columns, representative of operation on an industrial scale. This paper presents new results from live demonstrations of non-linear model predictive control (NMPC) in pilot scale, using the HiPerCap solvent HS3 on the SINTEF Tiller CO2LAB pilot, including ongoing work in the AURORA project, to build on the established results in this field, hereunder published case studies and pilot demonstrations.
The results indicate that industrial deployment of NMPC for solvent-based CO2 capture processes is imminent, and that it will constitute a valuable tool to automate the operation. The demonstrated outcome for the end-users is energy-optimal operation handling all operating conditions, with less operator interventions. Furthermore, the approach has possible extensions to combat advanced operational challenges.
Closing Knowledge Gaps – Density and Viscosity of Unloaded and CO2-loaded Aqueous AMP-PZ blends
AURORA’s latest scientific journal publication provides experimental density and viscosity data on different unloaded and CO2-loaded aqueous blends of 2-amino-2-methyl-1-propanol (AMP) and piperazine (PZ) used for absorption-based CO2 capture. The paper also provides correlations for density and viscosity suitable for various modelling works. In our previous review article, we identified knowledge…
Unlocking New Potential of CESAR1-based chemical absorption Technology: Available data and knowledge gaps of the CESAR1 solvent system
AURORA latest review paper, developed in collaboration with researchers from SINTEF and NTNU, provides a comprehensive analysis of the CESAR1 solvent system. It collects and evaluates existing experimental data, highlights knowledge gaps, and outlines the necessary next steps in research to optimize the use of CESAR1 for CO₂ capture.In the…