TY - JOUR
T1 - Machine learning for membrane design in energy production, gas separation, and water treatment: a review
AU - Osman , Ahmed I.
AU - Nasr, Mahmoud
AU - Farghali, Mohamed
AU - Bakr, Sara S.
AU - Eltaweil, Abdelazeem S.
AU - Rashwan, Ahmed K.
AU - Abd El-Monaem, Eman M.
PY - 2024/2/6
Y1 - 2024/2/6
N2 - Membrane filtration is a major process used in the energy, gas separation, and water treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use of machine learning to improve membrane efficiency, with emphasis on reverse osmosis, nanofiltration, pervaporation, removal of pollutants, pathogens and nutrients, gas separation of carbon dioxide, oxygen and hydrogen, fuel cells, biodiesel, and biogas purification. We found that the use of machine learning brings substantial improvements in performance and efficiency, leading to specialized membranes with remarkable potential for various applications. This integration offers versatile solutions crucial for addressing global challenges in sustainable development and advancing environmental goals. Membrane gas separation techniques improve carbon capture and purification of industrial gases, aiding in the reduction of carbon dioxide emissions.
AB - Membrane filtration is a major process used in the energy, gas separation, and water treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use of machine learning to improve membrane efficiency, with emphasis on reverse osmosis, nanofiltration, pervaporation, removal of pollutants, pathogens and nutrients, gas separation of carbon dioxide, oxygen and hydrogen, fuel cells, biodiesel, and biogas purification. We found that the use of machine learning brings substantial improvements in performance and efficiency, leading to specialized membranes with remarkable potential for various applications. This integration offers versatile solutions crucial for addressing global challenges in sustainable development and advancing environmental goals. Membrane gas separation techniques improve carbon capture and purification of industrial gases, aiding in the reduction of carbon dioxide emissions.
U2 - 10.1007/s10311-023-01695-y
DO - 10.1007/s10311-023-01695-y
M3 - Review article
SN - 1610-3661
JO - Environmental Chemistry Letters
JF - Environmental Chemistry Letters
ER -