Elsevier

Catalysis Today

Volume 342, 15 February 2020, Pages 131-141
Catalysis Today

First-principles based microkinetic modeling of transient kinetics of CO hydrogenation on cobalt catalysts

https://doi.org/10.1016/j.cattod.2019.03.002Get rights and content

Highlights

  • Density functional theory and microkinetics combined to model CO hydrogenation.

  • CO dissociation occurs in a direct fashion exclusively on step-edge sites.

  • CO hydrogenation rate control shared between CO bond scission and CHx hydrogenation.

  • Experimental transient observations can be reproduced by microkinetic modeling.

  • Changing surface coverages strongly affect the reaction rate.

Abstract

Computational efforts towards a fundamental understanding of the underlying mechanistic pathways in synthesis gas conversion processes such as Fischer-Tropsch synthesis are exemplary for the developments in heterogeneous catalysis. Advances in transient kinetic analysis methods contribute to unraveling complex reaction pathways over nanoparticle surfaces. Tracing the activity and selectivity of Fischer-Tropsch catalysts to the individual events occurring at the active site remains difficult with experimental techniques. Here we provide simulations of transient kinetics at the scale of the active site by making use of the reaction energetics for CO hydrogenation to methane on stepped and terrace cobalt surfaces that are suitable models for cobalt FT nanoparticle catalysts. We investigate the hydrogen-deuterium kinetic isotope effect and simulate common steady-state and chemical isotopic transients. Comparison to experimental literature leads to important mechanistic insights. Direct CO dissociation is the main pathway for breaking the Csingle bondO bond and it occurs exclusively on step-edge sites. While the experimentally observed hydrogen-deuterium kinetic isotopic effect is often used as evidence for H-assisted CO dissociation, we show that hydrogenation of C and O as partly rate-controlling steps provides an alternative explanation. The simulations of the chemical transients provide significant insight into the importance of the changing surface coverages that strongly affect the reaction rate. The reversibility of CO dissociation on cobalt step-edges is evident from simulations of 12C16O/13C18O scrambling being in good agreement with experimental data.

Introduction

Gas-to-liquid processes like Fischer-Tropsch (FT) synthesis comprise alternative pathways from carbonaceous feedstock towards clean fuels and chemicals [1,2]. Considerable efforts have already been made to gain a deep understanding of the operation of relevant catalysts for the hydrogenation of carbon monoxide. While from the practical side catalysts are optimized with respect to mass and heat transport [3], catalyst attrition [4], and catalyst deactivation at high conversion [5], the focus at the fundamental level is on resolving the complex machinery of the elementary reactions that occur at the surface of supported metal nanoparticle catalysts.

The FT reaction is a chain reaction involving CHx species as monomers. Unique initiation, propagation and termination rates lead to varying hydrocarbon product distributions on cobalt [6], ruthenium [7], and iron carbides [8]. For cobalt and ruthenium based catalysts, the initiation and propagation steps that give rise to the formation of long-chain hydrocarbons are usually assumed to proceed via the carbide mechanism [[9], [10], [11], [12]], i.e. the carbon-oxygen bond is broken prior to carbon-carbon coupling. However, the exact bond breaking mechanism remains heavily debated. The high activity of step-edge sites towards direct scission of π-bonds is widely accepted [[13], [14], [15], [16], [17], [18]], but the availability of such sites under CO hydrogenation conditions has been called into question due to carbon deposition [[19], [20], [21]] and lateral interactions [[22], [23], [24]]. Accordingly, hydrogen-assisted CO scission is often proposed as the dominant pathway in FT synthesis [17,[25], [26], [27]]. Chemical and isotopic transient kinetic experiments provide a powerful means to compare such mechanistic proposals [[28], [29], [30]]. Biloen and Sachtler [9] investigated surface intermediates with steady-state isotopic transient kinetic analysis (SSITKA) to develop their arguments in favor of the carbide mechanism. On the contrary, Kruse and coworkers proposed the importance of oxygenated intermediates to interpret chemical transient kinetic analysis (CTKA) measurements and emphasized CO insertion as the main growth mechanism [31,32]. The groups of Holmen and De Jong used these methods to determine CO coverages and found that CO residence times appeared independent of size for cobalt particles larger than 6 nm [[33], [34], [35], [36]]. Although these results indicate a reduced FT activity below 6 nm, the precise mechanism of chain growth on optimized larger particles remains a topic of controversy. Further insight can for instance be obtained through isotopic substitution of hydrogen with deuterium to determine kinetic isotope effects (KIE) [37]. A strong KIE in experiments using H2 (rH) and D2 (rD) can indicate a strong involvement of hydrogen in the controlling reaction steps of the mechanism. Inverse KIE ratios of rH/rD in the range of 0.7-0.8 have been associated with H-assisted CO dissociation routes [38,39]. However, such conclusions usually hinge on assumed rate-controlling steps, specifically CO dissociation. Hydrogen is also needed for termination of hydrocarbon species and removal of oxygen as water. Any rate control in these steps will therefore also influence the measured KIE ratios, regardless of the CO activation pathway. Unfortunately, experimental observations are usually a convolution of various pathways on different active sites. As such, direct deduction of the degree of rate control from experimental data is challenging [40,41]. Nevertheless, substantial efforts have been made to obtain this kind of information, predominantly by correlating predictions from microkinetic simulations to experimental data [[42], [43], [44], [45], [46], [47], [48], [49], [50]]. A corollary of these works is that catalytic activity is difficult to generalize using idealized models of isolated surface sites. Realistic descriptions of FT kinetics require a multi-site model that allows multiple reaction pathways. A specialized computer code developed for dealing with the complexity of SSITKA experiments has also been described in the literature as a realistic model leads to many options for isotopic compositions [51]. A salient result from this study is that the transient modeling results suggest a similar reaction mechanism over fcc and hcp cobalt with mainly differences in the number of active sites.

Here we report on the development of a microkinetic model to complement experimental transient studies of CO hydrogenation. The microkinetic simulations utilize a continuous stirred-tank reactor (CSTR) model to allow a changing gas-phase composition over time and all intermediates are explicitly labeled to follow isotopic changes. In this study all relevant elementary reaction steps are included from synthesis gas as a feedstock to methane, water, and carbon dioxide products. The reaction constants are computed from differences in energies and configurations of the reaction intermediates and transition states determined by density functional theory (DFT). As entropy is especially important for predicting accurate adsorption and desorption rates we incorporated gas-phase entropies from thermodynamic tables. With these contributions the desorption rates of CO and H2 match experimental results well. The complex surface of cobalt nanoparticles is approximated by a mean field of terrace and step-edge sites in a 10:1 ratio. This site ratio is a conservative estimate of the abundance of step-edge sites on fcc cobalt nanoparticles of 6–8 nm. [52] As actual site compositions might differ we included a sensitivity analysis of this parameter in the supplementary information. The mechanistic trends in this study were found to be insensitive to both the site ratio and to the reaction barrier for migration between the different sites. Migration reactions between these sites are included to explain the results of site blocking experiments [53,54]. Simulated steady-state methanation with hydrogen and deuterium shows KIE ratios close to the experimental values and reveal step-edges as the active site for CO dissociation. Simulated isotopic and chemical transients then show the importance of coverage effects, further unraveling the initiation pathway in FT synthesis over cobalt nanoparticles.

Section snippets

Methods

All quantum-chemical calculations were performed using a plane-wave density functional theory approach with the projector-augmented wave (PAW) method [55], as implemented in the Vienna ab initio simulation package (VASP) [[56], [57], [58], [59]]. For exchange-correlation, the Perdew-Burke-Ernzerhof (PBE) functional was used [60]. The plane-wave basis set was limited to a 400 eV kinetic energy cutoff base. A gamma-centered Monkhorst-Pack mesh [61] k-points of (21 × 21 × 21) was used for bulk hcp

Results and discussion

We initially investigated the reaction energetics of the methanation reaction on the two cobalt surfaces by DFT calculations. The two surfaces and several transition states are depicted in Fig. 1. The surface of the step-edge Co(112¯1) model can be described as a two-dimensional array of B5-sites. The forward and backward activation barriers, corrected for the zero-point energy, are listed in Table 1. For CO dissociation, we considered both direct and H-assisted Csingle bondO bond scission. For the

Conclusion

Microkinetic simulations of transient kinetics for a cobalt nanoparticle model surface display strong evidence for CHx formation through a direct CO scission pathway. Computed reaction energetics show that this pathway needs step-edge sites and does not take place on terraces. Thermodynamically consistent ab initio reaction energetics allows simulation of TPD profiles for CO and H2 and can also reproduce the effect of lateral interactions. In SSITKA and CTKA simulations, we neglected

Declarations of interest

None.

Acknowledgements

The authors gratefully acknowledge financial support from Shell Global Solutions International B.V. The Netherlands Organization for Scientific Research is acknowledged for providing access to computational resources.

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