"Modeling, performance assessment and cost estimation of a carbon capture process based on chemisorption with MEA"

From the last few couples of decades, it has been seen that the greenhouse gas emissions are risen by more than one quarter and the most contribution in that, is the fast-growing amount of 〖CO〗_2into the atmosphere and the major part of 〖CO〗_2 comes from an energy production system. carbon capture and storage (CCS) technology has been adopted from the last few years to reduce the 〖CO〗_2Concentration into the atmosphere even though the research is still ongoing to minimize the cost and the energy penalty to facilitate the process. So, the purpose of this thesis is to the optimizing post-combustion carbon capture system using 30% MEA-solvent as an absorbent. The absorber and stripper both columns were modeled with RadFrac and kinetic reactions and the techno-economic analysis has been performed in which the purchasing cost of equipment is calculated according to a certain size, and operating conditions using Turton [1] In this work, a detailed flowsheet model has been built with MEA-solvent by chemical absorption system on Aspenplus® version 10.0(Aspentech, USA), with rate-based technique, where the final goal was set to get 99% of carbon capture from the exhaust fuel gas and minimize the heat duty in desorption tower (stripper), in form of re-boiling and condensing. Softening of the fuel gas, compression of 〖CO〗_2 and storage is not the scope of this work.