This research investigates the development of novel 1,5-diamino-2-methylpentane (DA2MP) based amine solvent blend for CO2 capture from large industrial sources. The lab-scale absorber and desorber pilot plant (2 inch by 42 inch each) were used to investigate the comparative CO2 capture analysis of the novel 2 kmol/m3 AMP-(1 to 3) kmol/m3 DA2MP blend to 5 kmol/m3 MEA and 2 kmol/m3 AMP-1 kmol/m3 PZ blend for the power plants (8 vol.% CO2 and 15.1 vol.% CO2), and lime kiln (30 vol.% CO2) industries. For the water-gas shift process plant (50 vol.% CO2) the CO2 capture performance of novel 3 kmol/m3 MDEA-(0.5 to 1.5) kmol/m3 DA2MP blend was compared to the benchmark 3 kmol/m3 MDEA-0.5 kmol/m3 PZ. The main key performance indicators (KPIs) are mass transfer coefficients, regeneration energy, CO2 absorption efficiency, CO2 absorption rate, and viscosity and density of the CO2 loaded amine solutions. A nonlinear correlation was developed and compared to the artificial neural network (ANN) for accurate prediction of viscosity and density of AMP-DA2MP and MDEA-DA2MP blends. The effect of the carbon tax, CO2 sales price and a newly developed carbon tax model/correlation on the CO2 capture cost was studied. Results from the KPIs revealed that the 2 kmol/m3 AMP-1.5 kmol/m3 DA2MP is the optimal amine concentration and has superior CO2 capture performance compared to MEA and AMP-PZ blend while 3 kmol/m3 MDEA-1 kmol/m3 DA2MP was optimal and performed better than the MDEA-PZ blend. Parametric sensitivity analysis of 2 kmol/m3 AMP-1.5 kmol/m3 DA2MP showed that the amine flow rate and concentration, and reboiler temperature of integral in optimizing the performance and reducing carbon capture cost. The developed nonlinear correlation accurately predicted the density and viscosity of the amine blends (R2 up to 0.9309), however, the ANN model has a superior predictive accuracy (R2 up to 0.9999). The effect of the CO2 sales price was observed to reduce the CO2 capture cost iii compared to the carbon tax. Also, the proposed carbon tax model reduced the CO2 capture cost compared to the carbon tax from the government. Overall, the novel AMP-DA2MP and MDEA-DA2MP blends are capable of costeffective and energy efficient CO2 capture.