Regression analysis study on the carbon dioxide capture process

Research on amine-based carbon dioxide (CO2) Capture has mainly focused on improving the effectiveness and efficiency of the CO2 capture process. The objective of our work is to explore relationships among key parameters that affect the CO2 production rate. From a survey of relevant literature, we observed that the significant parameters influencing the CO2 production rate include the reboiler heat duty, solvent concentration, solvent circulation rate, and CO2 lean loading. While it is widely recognized that these parameters are related, the exact nature of the relationships are unknown. This paper presents a regression study conducted with data collected at the International Test Center for CO2 capture (ITC) located at University of Regina, Saskatchewan, Canada. The regression technique was applied to a data set consisting of data on 113 days of operation of the CO2 capture plant, and four mathematical models of the key parameters have been developed. The models can be used for predicting the performance of the plant when changes occur in the process. By manipulation of the parameter values, the efficiency of the CO2 capture process can be improved.