Speaker
Description
Large-scale hydrocarbon separation technologies are largely thermally driven phase-change based processes and account for roughly 45% of production energy in downstream petrochemical and manufacturing processes. Adsorptive separation has a great potential as disruptive separation technology to enable sustainable, economically advantaged, low carbon footprint production of strategic hydrocarbon products. Most commercial practices target recovery of one particular component out of a complex mixture, as in xylenes separation and bio-industries.
One of the key requirements to build a process model for adsorptive separation is isotherm quantification and its prediction. New approaches are needed to measure and predict competitive adsorption of complex multicomponent refinery streams. However, it is challenging to characterize their adsorption behaviors in such complexity.
In this presentation, development of adsorptive separations measurements and modeling strategy of considerably complex feed compositions will be discussed. Combination of advanced chromatographic technologies has been applied to characterize adsorption behaviors of a complex mixture at the molecular level. The multicomponent isotherm data out of such experiment is effectively parameter estimated using a quantitiave structure-activity relationship based isotherm modeling approach.
This new streamlined approach allows systematic quantification of isotherms from complex mixtures and quantitative structure-property understanding behind molecular adsorption behaviors.
