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Catalytic activity of supported metal particles for sulfuric acid decomposition reaction
Authors:Sergey N Rashkeev  Daniel M Ginosar  Lucia M Petkovic  Helen H Farrell
Affiliation:aCenter for Advanced Modeling and Simulation, Idaho National Laboratory, Idaho Falls, ID 83415, United States;bChemical Sciences Division, Idaho National Laboratory, Idaho Falls, ID 83415, United States;cMaterials Science Division, Idaho National Laboratory, Idaho Falls, ID 83415, United States
Abstract:Production of hydrogen by splitting of water in the thermochemical sulfur-based cycles that employs the catalytic decomposition of sulfuric acid into SO2 and O2 is of considerable interest. However, all of the known catalytic systems studied to date that consist of metal particles on oxide substrates deactivate with time on stream. To develop an understanding of the factors that are responsible for catalyst activity, we investigate the fresh activity of several platinum group metals (PGM) catalysts, including Pd, Pt, Rh, Ir, and Ru supported on titania at 850 °C and perform an extensive theoretical study (density-functional-theory-based first-principles calculations and computer simulations) of the activity of the PGM nanoparticles of different size and shape positioned on TiO2 (rutile and anatase) and Al2O3 (γ- and η-alumina) surfaces. The activity and deactivation of the catalytic systems are defined by (i) the energy barrier for the detachment of O atoms from the SOn (n = 1, 2, 3) species, and (ii) the removal rate of the products of the sulfuric acid decomposition (atomic O, S, and the SOn species) from metal nanoparticles. We show that these two nanoscale features collectively result in the observed experimental behavior. The removal rate of the reaction products is always lower than the SOn decomposition rates. The relation between these two rates explains why the “softer” PGM nanoparticles (Pd and Pt) exhibit the highest initial catalytic activity.
Keywords:Thermochemical water splitting  Sulfur-based cycles  Sulfuric acid decomposition  Hydrogen production  Nanoclusters  Density-functional theory
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