(678d) A Combined Molecular Simulation and Process Simulation Study of Benzene Removal from Vinyl Acetate in MOFs
AIChE Annual Meeting
2017
2017 Annual Meeting
Topical Conference: Innovations of Green Process Engineering for Sustainable Energy and Environment
Novel Materials and Processes for Air Pollution Control
Thursday, November 2, 2017 - 8:54am to 9:12am
Grand Canonical Monte Carlo (GCMC) and configure bias Monte Carlo (CBMC) are combined to investigate the adsorption behavior of benzene and VAC in different MOFs: Cu-BTC, Zn-BDC, IRMOFs and M-DOBDC. The effects of exposed metal sites, organic chain length and different functional groups attached to organic chains on adsorption and separation behaviors were studied. The highest selectivity factor of benzene over VAc is as high as 12, showing the great ability to remove trace amount of benzene from VAc product.
After the molecular simulation screening work, the most effective MOF material is selected for the following PSA process to remove trace benzene in an annual output of 250,000 tons of VAc plant. In the designed PSA process, benzene concentration in the VAc product could be reduced less than 1 ppm (wt%) . The result indicate that MOF is an excellent adsorbent for removing trace benzene, and the purity is able to meet the requirement of high-quality VAc product.