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This study focuses on a numerical approximation to determine the maximum absorption capacity of the MEA-H2O solution in a post-combustion CO2 capture process. Through simulation methods and computational modeling, the efficiency of this chemical solution in carbon dioxide absorption is thoroughly assessed, providing a detailed understanding of the factors that influence its capture capacity. The results contribute to the optimization of CO2 capture processes, providing valuable insights for the efficient design and implementation of emission reduction systems in industrial applications. This numerical approach not only deepens the understanding of the MEA-H2O absorption capacity, but also suggests promising paths for the continuous improvement of technologies related to the capture and mitigation of greenhouse gases.

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Numerical Approximation of the Maximum Absorption Capacity of the MEA-H2O Solution for a Post-combustion CO2 Capture Process

  • 章节

  • 发表日期：

    2025年

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  • Ochoa-Zezzatti Alberto,
  • Navarrete Procopio Miriam,
  • Zezatti Victor,
  • Castañeda Erick,
  • Guzmán Irahan,
  • López Rodriguez Julián

摘要

This study focuses on a numerical approximation to determine the maximum absorption capacity of the MEA-H2O solution in a post-combustion CO2 capture process. Through simulation methods and computational modeling, the efficiency of this chemical solution in carbon dioxide absorption is thoroughly assessed, providing a detailed understanding of the factors that influence its capture capacity. The results contribute to the optimization of CO2 capture processes, providing valuable insights for the efficient design and implementation of emission reduction systems in industrial applications. This numerical approach not only deepens the understanding of the MEA-H2O absorption capacity, but also suggests promising paths for the continuous improvement of technologies related to the capture and mitigation of greenhouse gases.