Optimization of carbon capture and storage technology using sodium alginate through response surface methodology

Abstract

The increasing demand for sustainable carbon capture technologies necessitates the exploration of novel solvents for CO₂ absorption. Carbon Capture and Storage (CCS) is a critical technology for controlling greenhouse gas emissions and tackling climate change. This study investigated the efficiency of sodium alginate (Na-Alg) as a bio-based solvent in carbon capture technology using the simulation software, Aspen Plus. The model was developed to simulate the absorption of CO₂ in a tray column, and the performance of sodium alginate solution was analyzed using various key parameters, including temperature, pressure, and solvent flow rate, to maximize the carbon capture efficiency. The simulation was then validated with the help of existing literature and experimental data and was found to be in good correlation. The carbon capture efficiency of CO₂ was observed at 97 % using sodium alginate solution. The relations between process parameters and their influence on CO₂ capture were evaluated by applying response surface methodology, identifying optimal conditions at 10–20 °C, 10 bar pressure, and a solvent flow rate of 20–25 kmol/h. These findings highlight the potential of sodium alginate as an effective, eco-friendly solvent for CCS, offering both environmental and operational advantages. The study also demonstrates the utility of simulation and optimization techniques in enhancing CCS performance.