(629a) Predicting an Optimal Oxide/Metal Interface Catalyst for Hydrodeoxygenation Chemistry of Biomass Derivatives
AIChE Annual Meeting
2019
2019 AIChE Annual Meeting
Catalysis and Reaction Engineering Division
Catalysis for Biomass Upgrading I: Reaction Fundamentals
Thursday, November 14, 2019 - 8:00am to 8:18am
The farther objective is, however, to predict an optimal combination of oxides and metal catalyst with interfacial properties to match the combined hydrogenation and redox requirements of HDO. The search relies on optimising different descriptors that influence the synergy between the oxide and metalsâ functionalities for the studied reaction. Since oxygen vacancies at the interface activate the C-O bond of the hydroxylated reactants with the alcohol group filling the vacancies in a reverse Mars-van Krevelen mechanism, the HDO activity is correlated with the reducibility of the oxide. The choice of the oxide/metal interface is also governed by tweaking the metal oxide and the metal properties in terms of descriptors like metalâoxygen bond strength, metal-carbon binding energy, metalâs workfunction or its relative gap with the d-band centre. For example, metal-carbon bond dictates the binding of the organic fragments after HDO, thereby driving the enthalpy of the reaction. Furthermore, the interface should be equally capable of activating hydrogen to provide a hydrogen environment and complete the final hydrogenation cycle to 2-methylfuran (a potential fuel additive). Herein, we use density functional theory (DFT) to study the elementary surface reactions of furfuryl alcohol over the oxide/metal interface model comprised of metals with varying carbon adsorption energies and oxidesâ nanowire with varying reducibilities (or tuned by dopants). The mechanistic study is also extended to predict deoxygenation of other stringent oxygenates like m-cresol, phenols etc. with the inclusion of descriptors that account for structural differences and differing C-O bond enthalpies of these oxygenated species. This intends to establish more generic correlations aimed to optimise the overall HDO chemistry, hydrogen activation and subsequent hydrogenation of different oxygenated biomass.
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