<p>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% N₂, and 7.8% H₂O, and biogas 2, which consists of 50% CH₄, 25% CO₂, 5% N₂, 7.8% H₂O, 5% H₂, 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.</p>