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Stangland, Eric E.

Publications and source records attributed to Stangland, Eric E..

Hydrodechlorination of 1,2-Dichloroethane on Platinum Catalysts: Insights from Reaction Kinetics Experiments, Density Functional Theory, and Microkinetic Modeling

Catalytic hydrodechlorination is a promising strategy for treating industrial 1,2-dichloroethane wastes, for which Pt and Pt-based alloy catalysts are widely used. Here, we performed a detailed mechanistic study for 1,2-dichloroethane hydrodechlorination on Pt using a synergistic approach combining density functional theory (DFT) calculations, reaction kinetics experiments, and microkinetic modeling. Using planewave DFT calculations, we evaluated the reaction energy and activation energy barrier of each elementary step involved in the reaction network on Pt(111). The calculated energetics were then incorporated into a comprehensive mean-field microkinetic model accounting for a total of 65 elementary steps. The model-predicted reaction rates were compared with the results from our reaction kinetics experiments on SiO2-supported Pt catalysts. Our results indicated that the hydrodechlorination of 1,2-dichloroethane on Pt(111) starts with a H-removal step; then, it proceeds through a sequence of alternating dechlorination and dehydrogenation steps until vinylidene (CH 2 C*) is formed; finally, CH 2 C* is hydrogenated to the final product, ethane, sequentially via vinyl (CH 2 CH*), ethylene, and ethyl (CH 3 CH 2 *) intermediates. After model parameter adjustments, we achieved good agreement between our theoretical model and experimental results; the adjustments to the calculated parameters are consistent with the typically anticipated coverage effects. Furthermore, our study offers valuable mechanistic insights, which are useful for improving catalysts for this chemistry.

1,2-dichloroethane↗

Ethylene versus ethane: A DFT-based selectivity descriptor for efficient catalyst screening

The production of ethylene without its hydrogenation to ethane is a challenge for several catalytic processes. Here, in this study, we present a catalyst screening scheme, where the Gibbs free energy difference between the ethylene hydrogenation barrier and ethylene desorption energy is defined as a descriptor for ethylene selectivity. Using plane-wave, dispersion-corrected DFT calculations, we evaluated the descriptor values over the (111) facets of Pt, Pd, and Cu as well as a series of Pt- and Pd-based bimetallic alloys. Our predicted descriptor values indicate that the addition of a Group IB metal (Cu, Ag, or Au) to Pt or Pd improves ethylene selectivity. Ag induces the most significant improvement at 50% while Au has the strongest effect at 75% atomic composition. Pd-based alloys exhibit superior ethylene selectivity over their Pt-based counterparts. Our descriptor model offers an efficient method for the initial screening of catalysts with improved ethylene selectivity.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

A DFT study of chlorine coverage over late transition metals and its implication on 1,2-dichloroethane hydrodechlorination

Atomic chlorine is known to interact strongly with most late transition metal surfaces. This work aims to identify the relevant chlorine coverage under typical 1,2-dichloroethane hydrodechlorination conditions (T = 423–523 K, PHCl = 10-2–101 bar) and its impact on the reaction energetics. Density functional theory calculations (GGA-PW91) were performed to study the adsorption of chlorine up to 1 monolayer over the close-packed facets of 10 late transition metals (Pt, Co, Ni, Cu, Ru, Rh, Pd, Ag, Ir, Au). The ab initio phase diagram of each chlorine/metal system was constructed. The phase diagrams predicted approximately 1/3 ML chlorine coverage on all metals other than Ag and Au, which remain clean surfaces under hydrodechlorination conditions. The presence of surface chlorine was also found to significantly destabilize the adsorption of reaction intermediates, thus shifting the reaction potential energy diagram upwards. Our results emphasize the importance of explicitly including adsorbed chlorine spectators in properly modeling the catalytic surfaces for the 1,2-dichloroethane hydrodechlorination reaction.

Xu, Lang↗