Abdul’Aziz A. Aliyu*, Maria E. Diego, K. N. Finney, M. Akram, K . J. Hughes, L. Ma, D. B. Ingham, M. Pourkashanian Energy 2050, Faculty of Engineering, University of Sheffield, Sheffield, S10 2TN, United Kingdom Contact detail: aaaliyu 1 @sheffield.ac.uk Introduction: CCS is slated to play 12% role in decarbonizing the electricity sector according to IEA Post Combustion CO2 capture is poised to be the first generation CCS technology in the energy sector Parametric study of the Amine Capture Plant system based on varying MEA concentrations Studying the influence of packing type (random vs structured) on the performance of absorber and stripper reactors Main Research Objectives • Investigating how different MEA concentrations (30wt.% and 40wt.%) affect the performances of Amine Capture Plants • Appraising the performance of Amine Capture Plant system with Random vs structured packing types • Optimization of the process conditions above that yield the least Specific Reboiler Duty on gCCS. Methodology (Experimental) Sampling/FTIR Sampling/FTIR Solvent measurement 5 gas sampling points Rich/lean sampling Methodology (Process simulation) Main expected conclusions Acknowledgement: Opening results Micro gas turbine Amine Capture Plant 30wt. % vs 40wt. % MEA Reduction in energy penalty imposed on the power plant due to integration with CCS plant The CO2 absorption/desorption process was modelled using gCCS v1.1.0 (Process Systems Enterprise) with 30wt.% MEA as the base case solvent • Reduction in the Specific Reboiler Duty with higher MEA concentration in the solvent. This is due to a decreased in the required solvent mass flow rate, which reduces consumption in the Reboiler. • Increased corrosion from higher MEA concentration is expected. • Improved column performance with structured vs random packing, which gives better liquid-gas contact and lower pressure drop thus reducing the energy penalty in Amine Capture Plant systems.