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BETO Physical Property Data and Modeling of Bioseparations

This project aims to collect physical property and thermodynamics data for impactful bio-products and their separations, build thermodynamic models to represent multicomponent mixtures’ behavior, and incorporate these models into process simulation environments to allow for faster and more cost-effective scale-up of bio-separations technologies. The project work specifically targets the separation of organic acids from multicomponent mixtures typically encountered in bioprocess operations, using three distinct separation technologies: adsorption, membranes, and electrochemical techniques.
Non-RAPID DOE-funded Projects
Renewable Bio Products
Argonne National Laboratory
Texas Tech University
Siemens

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