Optimized Simulation of CO2 Removal Process from Coal Fired Power Plants with MEA by Sensitivity Analysis in Aspen plus

Abstract

The World Energy consumption has been increasing steadily since industrialization, this recent increase is also the major cause for the raise of CO2 concentration in the atmosphere. Fossil fuels play a central role in our energy consumption; actually the CCS technology and their operations in power systems must get a prominent role in reducing total CO2 emissions. An attempt to tackle the problem of solvent based Post Combustion Carbon Capture process optimization requires the availability of a rigorous process model along with a design methodology. During the modeling, much physical and chemical process should be considered in order to get more realistic results, this complexity process addressed as Reactive Separation. This report presents detailed descriptions of the process sections as well as technical documentation for the ASPEN Plus simulations including the design basis, models employed, key assumptions, design parameters, convergence algorithms, concentration and temperature profiles and calculated outputs. The main purpose is to minimize the amount of energy required in the desorption process through the optimum operating condition to the actual CO2 absorption experimental setup. The case of study is on MEA 30wt% in a coal Hired power plant. Electrolytic method is considered; the sensitive analysis was used for the Optimization.