Experimental study of CO 2 solubility in high concentration MEA solution for intensified solvent-based carbon capture

• Published in: MATEC web of conferences Vol. 272; p. 1004
• Main Authors: Oko, Eni, Akinola, Toluleke E., Cheng, Chin-Hung, Wang, Meihong, Chen, Jian, Ramshaw, Colin
• Format: Journal Article
• Language: English
• Published: 2019
• ISSN: 2261-236X; 2261-236X
• DOI: 10.1051/matecconf/201927201004

The solvent-based carbon capture process is the most matured and economical route for decarbonizing the power sector. In this process, aqueous monoethanolamine (MEA) is commonly used as the solvent for CO 2 scrubbing from power plant and industrial flue gases. Generally, aqueous MEA with 30 wt% (or less) concentration is considered the benchmark solvent. The CO 2 solubility data in aqueous MEA solution, used for modelling of the vapour-liquid equilibria (VLE) of CO 2 in MEA solutions, are widely published for 30 wt% (or less) concentration. Aqueous MEA with higher concentrations (from 40 to 100 wt%) is considered in solvent-based carbon capture designs with techniques involving process intensification (PI). PI techniques could improve the process economics and operability of solvent-based carbon capture. Developing PI for application in capture process requires CO 2 solubility data for concentrated MEA solutions. These data are however limited in literature. The modelling of the vapour-liquid equilibria (VLE) of CO 2 in MEA solutions for PI-based solvent capture techniques involving stronger MEA solution of about 80 wt% concentration requires solubility data at the concentration. In this study, the data for 80 wt% MEA is presented for 40,60, 100 and 120oC. The experimental technique and analytical procedure in this study were validated by comparing the measurements for 30 wt% MEA with data from the literature. The data from this study can be fitted to VLE models such as electrolyte NRTL, extended UNIQUAC etc. which is an important component of solvent-based capture model using MEA as the solvent. More accurate VLE models will improve the prediction accuracy of capture level, rich loading etc. using PI-based solvent-based capture model.