Molecular Modeling of Membranes
* Can reverse osmosis polymer membrane system performance be accurately modeled based on molecular structure?
* Can such a model be used to predict the molecular structures of next generation membrane systems with optimum flux and percent salt rejection?
Need and Benefit
Approximately 80 percent of the reverse osmosis (RO) membranes commercially available are based on the polyamide chemical structure and the other 20 percent on the cellulose acetate chemical structure. The performance of these RO membranes (i.e., flux and percent salt rejection) are based on molecular structures that are still poorly understood. New membranes are developed based on empirical data, which can be time-consuming and difficult to produce. There are currently a large amount of performance data that can be correlated with molecular structure. It should be possible to find this correlation by using molecular modeling to simulate the movement of water and solute molecules through the membrane.
ThisScience and Technology (S&T) Program research project seeks to learn how to use the software package and to seek collaboration with different membrane research projects within Reclamation. The software package consists of 18 separate modules working together to provide the tools to calculate a wide array of chemical and polymer properties. The hope is that this information can be used to optimize membrane products and processes. For example, this modeling may be used to understand water seepage through the membrane covering on irrigation or transport canals. It can be used to understand the correlation between molecular structure of membranes and RO performance criteria such as percent salt rejection and flux. Such an understanding may lead to predicting next generation polymer membranes. It can also to help guide research in developing RO membranes that are resistant to chlorine attacks.
Contact the Principal Investigator for information about these documents.
This information was last updated on September 17, 2014
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