| dc.description.abstract | Global warming of the earth is increasing significantly due to the emission of greenhouse gases where CO2 is the main influential gas for this adverse effect. To mitigate this problem CO2 capture with aqueous amine solvent is a most promising technology for many years.
The study focuses on a new benchmark solvent for CO2 capture, CESAR1, which consists of 2-amino-2-methylpropan-1-ol (AMP) and piperazine (PZ) blend. The objectives of this thesis are to prepare different CO2 loading and unloading sample with various range of CESAR1 concentration and measured the physical properties of density, pH, conductivity of the prepared sample to predict the solvent performance. Using FTIR Spectroscopy spectral regions of interest for estimation of α-CO2 loading, AMP, PZ, density, pH, and conductivity are identified as respectively, 1575-1213 cm-1, 1095 - 877 cm−1, 1213 - 1096 cm−1, 1080 to 502 cm-1, 1835 to 502 cm-1, and 1810 to 502 cm-1.
The methodology involves preparation of aqueous amine samples and estimation of density, pH, and conductivity of the amine solvents. To understand the solvent behaviour and correlation between the multivariable data partial least square regression (PLS-R) modelling has been conducted in this study.
The key finding investigates the effect of CO2 loading in the CESAR1 blend samples. Different species concerned with CESAR1 blend (AMP+PZ) are identified through speciation of pre-processed FTIR spectra including some stretching band. Six PLS-R models are developed to predict α-CO2 loading, AMP, PZ, density, pH, and conductivity of the observed CESAR1 solvent. The model accurately predicts RMSEP values of 0.0234 mol/mol, 0.1338 mol/kg, 0.1611 mol/kg, 0.0048 g/cm3, 0.1842, and 0.6321 mS/cm for α-CO2 loading, AMP, PZ, density, pH, and conductivity respectively with a good fit performance.
From this study, it is quite evident that online monitoring integrated with FTIR spectroscopy analysis is an appropriate method for CO2 capture. | |
