Optimizing Membrane-Based CO2 Capture Technologies for Industrial Applications

Industrial processes, particularly power generation plants, cement and steel production factories are major contributors to carbon emissions. Developing effective CO2 capture technologies is crucial for achieving net-zero emissions and mitigating climate change. Membrane-based capture technologies offer a promising approach for separating CO2 from flue gas. Membrane-based capture offers several advantages, including lower footprint, easier scalability, and potentially lower energy requirements compared to other methods. By optimizing these systems through mathematical models, we can unlock the full potential of these processes analyzing different alternatives of design and operation.

Related Publications:

[1] Ana M. Arias, Nicolás J. Scenna, Patricia L. Mores, 2023. Membrane superstructure optimization for carbon capture from cement plants. Water content influence on optimal solution, Int. J. Greenh. Gas Control 129. https://doi.org/10.1016/j.ijggc.2023.103964.

[2] Mores, P.L., Arias, A.M., Scenna, N.J., Mussati, M.C., Mussati, S.F., 2019. Cost-based comparison of multi-stage membrane configurations for carbon capture from flue gas of power plants. Int. J. Greenh. Gas Control 86, 177–190. https://doi.org/10.1016/j.ijggc.2019.04.021

[3] Arias, A.M., Mores, P.L., Scenna, N.J., Caballero, J.A., Mussati, S.F., Mussati, M.C., 2018. Optimal Design of a Two-Stage Membrane System for Hydrogen Separation in Refining Processes. Processes 6, 208. https://doi.org/10.3390/pr6110208

[4] Mores, P.L., Arias, A.M., Scenna, N.J., Caballero, J.A., Mussati, S.F., Mussati, M.C., 2018. Membrane-Based Processes: Optimization of Hydrogen Separation by Minimization of Power, Membrane Area, and Cost. Processes 6, 221. https://doi.org/10.3390/pr6110221

[5] Arias, A.M., Mussati, M.C., Mores, P.L., Scenna, N.J., Caballero, J.A., Mussati, S.F., 2016. Optimization of multi-stage membrane systems for CO2 capture from flue gas. Int. J. Greenh. Gas Control 53, 371–390. https://doi.org/10.1016/j.ijggc.2016.08.005

[6] Arias, A.M., Mores, P.L., Scenna, N.J., Mussati, S.F., 2016. Optimal design and sensitivity analysis of post-combustion CO2 capture process by chemical aabsorption with amines. J. Clean. Prod. 115, 315–331. https://doi.org/10.1016/j.jclepro.2015.12.056

Dr. Ana Marisa Arias
Dr. Ana Marisa Arias
Research Associate

A results-driven research associate, Ana possesses expertise in modeling, simulation, and optimization of industrial processes, particularly gas separation systems. Her work centers on improving efficiency and performance within carbon capture processes, leading to cost reductions and a more sustainable operational footprint. Her interests lie in process system engineering, hybrid modeling, digital twins, and furthering advancements in carbon capture technology.