Biogas is a sustainable energy source with ecological, economic, and societal advantages. Composed mainly of CH4 and CO2, it offers a cleaner alternative to fossil fuels, emphasizing the importance of decarbonization. Chemical absorption effectively captures CO2, and process simulations assess separation performance before industrial use. This research aims to explore the potential of three amine-based solvents-AMP, DEA, and MDEA-for CO2 capture from biogas via Aspen Plus simulations to assess absorption/stripping columns. An improved rate-based model enhances the accuracy of mass and heat transfer simulations, with electrolyte NRTL models used for thermodynamic analysis. The study considers two distinct biogas compositions: biogas 1, which comprises 50% CH4, 32.2% CO2, 10% N-2, and 7.8% H2O, and biogas 2, which consists of 50% CH4, 25% CO2, 5% N-2, 7.8% H2O, 5% H-2, and 7.2% H2S. Simulations are conducted to analyze the effects of biogas composition, solvent choice, and thermodynamic models on performance indicators such as the percentage of CO2 captured and the removal efficiencies of both CO2 and H2S within the absorber. The simulation results indicate that DEA has the highest CO2 capture effectiveness among solvents for both biogas compositions, followed by AMP, with MDEA showing the lowest. DEA achieves optimal results when the ENRTL-RK model is used. For biogas 1, DEA results in the highest CO2 removal efficiency, whereas for biogas 2, AMP results in the best H2S removal efficacy. The amine-based CO2 capture simulation suggests viability but highlights the need for further analysis of environmental impacts and costs for sustainability.