Simulation and optimization of fixed bed and moving bed TSA processes for post-combustion CO2 capture.

In this work three different TSA process configurations were chosen, and these processes were optimized using genetic algorithm. One of the processes was a moving bed TSA process while the other two process were fixed bed processes using a packed bed containing pellets and hollow fiber modules. With Lewatit as the sorbent chosen, the cycle configurations were optimized to identify minimum energy and maximum productivity values for CO2 capture from a natural gas combustion cycle (NGCC) flue gas. The hollow fiber TSA process had the highest productivity of 4.25 mol CO2/m3 ads s, followed by the fixed bed and the moving bed TSA processes with values of 2.03 and 1.68 4.25 mol CO2/m3 ads s, respectively