Open Access Article
Dan
Luo
ab,
Xingchen
Liu
*bc,
Tong
Chang
a,
Jiawei
Bai
b,
Wenping
Guo
d,
Wentao
Zheng
b and
Xiaodong
Wen
*bcd
aShanxi Key Laboratory of Ecological Protection and Resources Utilization of Yuncheng Salt Lake, Department of Applied Chemistry, Yuncheng University, 1155 Fudan West Street, Yuncheng 044000, China
bState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, 030001, China. E-mail: liuxingchen@sxicc.ac.cn; wxd@sxicc.ac.cn
cUniversity of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, P. R. China
dNational Energy Center for Coal to Liquids, Synfuels China Co., Ltd, Huairou District, Beijing, 101400, China
First published on 16th January 2024
In Fischer–Tropsch synthesis (FTS), the cobalt catalyst has higher C5+ and lower CH4 selectivity in the hcp phase than in the fcc phase. However, a detailed explanation of the intrinsic mechanism is still missing. The underlying reason was explored combining density functional theory, Wulff construction, and a particle-level descriptor based on the slab model of surfaces that are prevalent in the Wulff shape to provide single-particle level understanding. Using a particle-level indicator of the reaction rates, we have shown that it is more difficult to form CH4 on hcp-Co than on fcc-Co, due to the larger effective barrier difference of CH4 formation and C–C coupling on hcp-Co particles, which leads to the lower CH4 selectivity of hcp-Co in FTS. Among the exposed facets of fcc-Co, the (311) surface plays a pivotal role in promoting CH4 formation. The reduction of CH4 selectivity in cobalt-based FTS is achievable through phase engineering of Co from fcc to hcp or by tuning the temperature and size of the particles.
It is generally accepted that the catalytic performances of inorganic solids can be tuned by their composition,11,16 crystallographic structure (phase),17,18 size,19,20 shape,21 chelating molecular ligands,22,23 and support.24 Among these factors, the crystalline phase lies at the heart of the structural parameters for solids of given composition. It determines how the constituents (atoms or ions) are arranged in a highly ordered microscopic structure, and governs the electronic structures and surface atomic geometry of catalysts.18,25 Besides the most stable phase, the various metastable phases of the catalysts can usually be stabilized by the reactive gas/liquid and often high-temperature environments,26–29 which makes it possible to modulate the catalytic performances of materials by phase engineering.
Chen et al.30 found that the 4H Cu and 4H/fcc Cu shells exhibit greater CO2 reduction reaction activity and better C2H4 selectivity compared to fcc Cu, demonstrating the crystal phase-dependent C2H4 selectivity of Cu. Alumina with different crystal phases shows that CoMo/θ-Al2O3 has a much higher hydrodesulfurization selectivity than CoMo/γ-Al2O3 and CoMo/δ-Al2O3.31 The sorption and catalytic behavior observed between the alkaline ferrites studied are associated with the crystal structures and alkali composition.32 In FTS, Gnanamani et al.33 used a different catalyst reduction process to obtain distinct phases of cobalt, and found that the hcp phase shows higher CO conversion and lower CH4 selectivity than the fcc phase. Du et al.34 found that the multistep activation process derived catalyst (CoZr/AC-RSCR) with more hcp phase has higher CO conversion and lower CH4 selectivity than the H2 reduction derived catalyst (CoZr/AC-R) with more fcc phase.
However, despite the extensive experimental observations of phase-dependent product selectivity of catalysts, the connection between the crystalline phase of a catalyst and its product selectivity remains obscure. A major obstacle in experiments is that the catalyst particles with known crystal phases are composed of multiple facets, due to which their identity and functioning mechanism may be different. It has been proposed by Zhong et al. that different crystal phases have different surface reactivities because of the distinct intrinsic surface strains.35 It has been demonstrated that the isolated Pd sites on the surfaces of the particles determine the high selectivity in acetylene semi-hydrogenation reaction for intermetallic Pd-X (X = Ga or In) materials with multiple phases.36 Several theoretical studies on the CH4 selectivity of Fe5C2 surfaces also showed that the selectivity is highly facet dependent.37,38
In FTS reactions, the selectivity of products is mainly determined by the competition of the coupling between C + H and C + C.39,40 Due to the interrelated nature of all individual selectivities indicated by the linear relationship between the individual C1–C4 hydrocarbon selectivities and the C5+ selectivity,8–10 CH4 selectivity can be used as an indicator of the product selectivity in FTS.41,42 Hydrogenation of carbon species, which is produced through CO dissociation, is the major pathway to CH4 formation, and it has been well accepted that CH3 + H → CH4 is the rate-determining step.38,41,43 Previously, the CH4 selectivity of a few intuitively selected Co surfaces has been studied, such as the (100), (110), (111) and (311) of fcc-Co by Yu et al.44 and the (0001) of hcp-Co by Cheng et al.45 However, as the overall CH4 selectivity of a Co particle is contributed by all its exposed facets, the fundamental cause for the lower CH4 selectivity of hcp-Co than fcc-Co remains elusive.
In this work, we propose to use a theoretical approach to investigate the correlation between the crystalline phases of Co (hcp and fcc) and their CH4 selectivity at the single particle level using the slab model of surfaces that are prevalent in the Wulff shape. CH4 selectivity of hcp-Co and fcc-Co was evaluated by considering the competition between CH4 formation and C1 + C1 coupling on all the prominent surfaces that covers the exterior of particles based on the Wulff theorem. The facet dependent effective barriers for CH4 selectivity were then integrated into a particle-level energy descriptor46 and compared between hcp and fcc Co. Finally, the conditions for phase transition between hcp and fcc were explored with respect to temperature and nanoparticle size to obtain catalysts with higher performances. We envision that our proposed strategy can effectively scoop out the selectivity information of probe reactions occurring on each facet and thereby reasonably add-up these results to represent those of the single particle level. As such, this approach allows us to understand the difference in the intrinsic selectivity of particles with different crystalline phases. We anticipate that this simplified strategy not only can lessen the gap between theoretical methodology and experimental understanding in cobalt-catalyzed FTS study, but may also be applicable to other catalysis systems to understand the correlation between the crystal phase and product selectivity.
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| Fig. 1 Wulff construction and the utilized slab models of the prevalent surfaces of hcp-Co and fcc-Co in the Wulff shapes. | ||
| Eads = Eslab/X − Eslab − EX, | (1) |
The reaction barrier Ea and the reaction energy Er were calculated according to the equations:
| Ea = ETS − EIS | (2) |
| Er = EFS − EIS | (3) |
To estimate the relative activity of reactions on the particles of different Co phases, we use the concept of particle effective barrier which is a particle-level indicator of the reaction activity defined previously in the literature.45 The particle effective barriers for CH4 formation (Ea_particle,CH4) and the most feasible C1 + C1 coupling (Ea_particle,C1+C1) and the difference of them (ΔEa_particle) were calculated in terms of rates as follows. First, we assume that the overall reaction rate (r) is the sum of the contributions from all the exposed surfaces. This assumption is valid as it has been recently proven unambiguously that in Co-catalyzed FTS reactions, the edges and vertices of the particles are responsible for the CO dissociation, while the C–C and C–H coupling reactions happen mainly on the flat surfaces of the catalyst particles.58,59
Based on the Arrhenius formula, the reaction rate r on a particle with i surfaces can be calculated according to the equation46,60
![]() | (4) |
![]() | (5) |
| G = EDFT + Evib+ Esurf | (6) |
| Esurf = γmAm | (7) |
![]() | (8) |
Following the approach of Cheng,42,69 the effective barriers of CH4 formation (Ea_eff,CH4) were used to evaluate the catalytic activity of the Co surfaces to produce CH4. As CH4 formation happens by stepwise C hydrogenation, the rate-determining step is (CH3 + H → CH4) on most of the Co surfaces. Before the rate-determining step, the preceding hydrogenation steps may reach quasi-equilibrium. Thus, the rate of CH4 formation can be calculated as the rate of the rate-liming step:
rCH4 = A exp[−Ea,4/RT]θCH3θH = A exp[−(Ea,4 + Er,3)/RT](θCθ*)3θCθH | (9) |
Here, A is the pre-exponential factor. θCH3, θC, θH, and θ* are the coverage of CH3, C, H, and the free site on the surface, respectively. R is the ideal gas constant and T is the reaction temperature. Ea,4 is the reaction barrier of CH3 hydrogenation, and Er,3 is the reaction energy for C + 3H → CH3. From eqn (10), it is evident that the effective barrier of CH4 formation (Ea_eff,CH4) can be calculated as (Ea,4 + Er,3), which is essentially the difference between the highest TS energy of CH4 formation (ETS4) and the initial state with one atomic carbon, one atomic oxygen and four atomic hydrogens adsorbed on cobalt surfaces (EC+4H+O)38,41,42 (Fig. 2c).
| Ea_eff,CH4 = Ea,4 + Er,3 = ETS4 − EC+4H+O | (10) |
However, the difference between the barrier from CH3 + H + O toward TS3 is higher than that toward TS4 by 0.53 eV on hcp-Co (10−12), and 0.21 eV on fcc-Co (311), respectively. Since the ratio of hydrogen to the free site coverage θH/θ* is about 1 to 10 under typical reaction conditions (assuming equivalent coverages of H and free site *), the higher barrier of CH3 + * → CH2 + H than CH3 + H → CH4 causes r−3 = k−3θCH3θ* ≪ r4 = k4θCH3θH. Thus, the reaction of CH2 + H → CH3 is irreversible and becomes the rate-determining step on (10−12) and (311), and the rate of CH4 formation on these two surfaces should be calculated as:
RCH4 = A exp[−Ea,3/RT]θCH2θH = A exp[−(Ea,3 + Er,2)/RT](θH/θ*)2θCθH | (11) |
The effective barrier of CH4 formation (Ea_eff,CH4) on (10−12) and (311) surfaces therefore is determined as the difference between the highest TS energy of CH4 formation (ETS3) and the initial state (EC+4H+O) (Fig. 2d).
| Ea_eff,CH4 = Ea,3 + Er,2 = ETS3 − EC+4H+O | (12) |
To assess the activity of the Co surfaces for CH4 formation, the Ea_eff,CH4 values for all the studied surfaces of hcp and fcc Co are obtained and are plotted in Fig. 3(a). Surprisingly, the CH4 formation activity on hcp is not always lower than that on fcc. The Ea_eff,CH4 of fcc-Co (110), which is the lowest one on fcc-Co, is slightly smaller than that of hcp-Co (0001) and hcp-Co (11−20). The rank of effective barriers is hcp-Co (10−11) > fcc-Co (100) > hcp-Co (10−10) > hcp-Co (11−21) > hcp-Co (10−12) > fcc-Co (311) > hcp-Co (11−20) ≈ fcc-Co (111) ≈ hcp-Co (0001) ≈ fcc-Co (110). It shows that hcp-(0001), hcp-(11−20), fcc-(111) and fcc(110) are all active and have similar catalytic activities in CH4 formation. The rank of the effective barrier for CH4 formation is consistent with previous ab initio studies.44,66
To assess the overall catalytic activity of hcp-Co and fcc-Co phases for CH4 formation, we further calculated the particle effective barriers (Ea_particle,CH4) of CH4 formation on hcp-Co and fcc-Co Wulff particles, assuming that the overall rate of reaction on the catalyst particle is the sum of the rates from all its exposed surfaces (see the Methods section). On hcp-Co, Ea_particle,CH4 is 1.11 eV and on fcc-Co it is 1.02 eV (Fig. 3(a) and Table S7, ESI†). The results indicate that hcp-Co and fcc-Co have similar intrinsic catalytic activity to form CH4.
A weak linear relationship was discovered between Ea_eff,CH4 of the Co surface and the sum of adsorption energies of a C atom and 4 H atoms on it (Eads_C+4H) with R2 of 0.73 on ten surfaces, irrespective of the crystal phase (Fig. 3(b) and Table S8, ESI†). With the adsorption of C and 4 H atoms becoming stronger, the acquired Ea_eff,CH4 follows a downhill trend on the cobalt surfaces, and the higher values of Eads_C+4H are associated with lower Ea_eff,CH4. This linear correlation allows the fast estimation of the effective barrier of CH4 formation on cobalt surfaces, as long as the adsorption energies of C and H are given (Ea_eff,CH4 = −1.10Ead_C+4H − 8.56).
In the carbide mechanism, the CHi + CHj coupling rate is expressed as:
rCHi+CHj = A exp[−Ea,i+j/RT]θCHiθCHj = A exp[−(Ea,i+j + Ei + Ej)/RT]θC2(θH/θ*)i+j | (13) |
In the CO-insertion mechanism, the CO + CHj coupling rate is expressed as
rCOi+CHj = A exp[−Ea,CO+j/RT]PCOθCHj = A exp[−(Ea,CO+j + Ej)/RT]PCOθC(θH/θ*)j | (14) |
It turns out that the coupling of CHi + CHj, and CHi + CO on ten cobalt surfaces resembles each other, and we hereby use the hcp-Co (0001) surface as an example to demonstrate the most feasible C1 + C1 coupling reaction. The energy profiles of the C1 + C1 coupling reaction on hcp-Co (0001) are shown in Fig. 4. The Ea_eff,i+j of C + CH (0.41 eV), C + CH2 (0.86 eV), and C + CH3 (1.28 eV) gradually increase with the hydrogenation of the carbon atom, indicating that the coupling ability of carbon species will be reduced, due to the increase of the coordination number of the C atom. A similar increasing trend of Ea_eff,+j is observed for CH + CH (0.10 eV), CH + CH2 (0.52 eV), and CH + CH3 (1.38 eV).
We take the hcp-Co (0001) as an example to discuss the C1 + C1 coupling reaction. Since CH4 formation competes with C1 + C1 coupling, if the barrier of a particular C1 + C1 coupling reaction is higher than CH4 formation, then the C1 species will be directly hydrogenated and this C1 + C1 coupling reaction will not be likely to happen. We found that the carbide mechanisms of C + C, C + CH, C + CH2, CH + CH, CH + CH2 reactions are all feasible on hcp-Co (0001), due to their lower Ea_eff,i+j than Ea_eff,CH4. However, the CO-insertion mechanism of C + CO, CH + CO, CH2 + CO, and CH3 + CO coupling reaction all has higher Ea_eff,CO+j than Ea_eff,CH4, indicating that the CO-insertion mechanisms are not favorable on hcp-Co (0001). Among the feasible carbide mechanisms, the CH + CH coupling has the lowest Ea_eff,i+j, and is probably the most favorable pathway among all the C1 + C1 coupling reactions on the hcp-Co (0001) surface.45
For the other hcp-Co and fcc-Co surfaces, the most feasible C1 + C1 coupling pathways are divergent. It is CH + CH on hcp-Co (10−10), (10−12), (11−21), fcc-Co (110), (111), C + CH3 on fcc-Co (311), C + CO on hcp-Co (10−11), fcc-Co (100), and CH + CO on hcp-Co (11−20), as shown in Table 1 and Fig. S13 (ESI†). For most of the surfaces, the reaction of CH + CH coupling is the most favorable pathway among all of the C1 + C1 coupling reactions, which is in line with the findings in ref. 44 and 73.
| (10−10) | (10−11) | (10−12) | (11−20) | (11−21) | (100) | (110) | (111) | (311) | |
|---|---|---|---|---|---|---|---|---|---|
| C1 + C1 | CH + CH | C + CO | CH + CH | CH + CO | CH + CH | C + CO | CH + CH | CH + CH | C + CH3 |
| E a_eff,i+j/Ea_eff,CO+j | 0.05 | 1.42 | 1.21 | 0.18 | 0.67 | 1.05 | 0.20 | −0.01 | 0.77 |
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Fig. 5 The effective barrier difference (ΔEa_eff = Ea_eff,CH4 − Ea_eff,C1+C1, the columns) and the particle effective barrier difference (ΔEa_particle, the dashed lines) between CH4 formation and the most feasible C1 + C1 coupling on hcp-Co (0001), (10−10), (10−11), (10−12), (11−20), (11−21), fcc-Co (100), (110), (111), (311), and Fe5C2 (510), ( 11), (010), (11 ), (111). The ΔEa_eff of Fe5C2 (510), ( 11), (010), (11 ), (111) is from ref. 36. | ||
It is worth noting that the CH4 selectivity in hcp is not always lower than in fcc. Among the ten Co surfaces, hcp-Co (10−10) has the largest ΔEa_eff (2.13 eV), indicating the lowest CH4 selectivity, whereas fcc-Co (311) has the smallest ΔEa_eff (0.55 eV) and the highest CH4 selectivity. However, the ΔEa_eff values of hcp-Co (0001), (10−12), and (11−20) are even lower than those of fcc-Co (100) and fcc-Co (111), implying higher CH4 selectivity of these surfaces on hcp-Co. The ranks of the CH4 selectivity of all the Co surfaces are shown in Fig. 5. To confirm the validity of our prediction, comparisons are made with the available experiments. Qin et al. have synthesized three types of hcp-Co particles exposing only one type of facet each. Comparison of their CH4 selectivity shows that (10−11) has the lowest CH4 selectivity, followed by (0001) and (11−20). Our calculated ΔEa_eff values on (10−11), (0001), and (11−20) are 1.92 eV, 0.92 eV, and 0.87 eV, respectively, with the rank of CH4 selectivity to be (10−11) < (0001) < (11−20), which is in excellent agreement with the experiments.68
The overall CH4 selectivities of hcp-Co and fcc-Co phases are defined by the particle effective barrier difference (ΔEa_particle) between CH4 formation (Ea_eff,CH4) and the most feasible C1 + C1 coupling (Ea_eff,C1+C1) on hcp-Co and fcc-Co Wulff particles, assuming that the overall rate of reaction on the catalyst particle is the sum of the rates from all its exposed surfaces. (See the Methods section). The ΔEa_particle on hcp-Co and fcc-Co surfaces is 0.86 eV and 0.60 eV, respectively. Therefore, the CH4 selectivity in FTS is higher on fcc-Co than on hcp-Co, which is consistent with the experimental observations.33,74,75 Notably, the (311) surface of fcc-Co plays a pivotal role in determining the overall CH4 selectivity of the fcc phase. Moreover, our results suggest that the CH4 selectivity can be suppressed by decreasing the exposure ratio of the facets that are prone to form CH4: (0001), (10−12), and (11−20) on hcp-Co and (110) and (311) on fcc-Co.
In FTS, Co-based FTS generally has higher CH4 selectivity than Fe-based FTS.42,76 Herein, we compare the ΔEa_eff of exposed facets of hcp and fcc Co with those of χ-Fe5C2 particles,36 the most widely accepted active phase in iron-catalyzed FTS.11,23,37 Most of the χ-Fe5C2 surfaces have large ΔEa_eff, with the exception of Fe5C2(111), which has lower ΔEa_eff than the cobalt surfaces of (10−10), (10−11), (11−21), and (100). The overall CH4 selectivity of χ-Fe5C2, hcp-Co, and fcc-CO can be compared using ΔEa_particle (Fig. 5, dashed lines and Table S9, ESI†). The ΔEa_particle (1.20 eV) of Fe5C2 particles is larger than that of hcp-Co and fcc-Co, indicating that the Co particle of both phases has higher CH4 selectivity than the χ-Fe5C2 particle. This is probably the reason why Co-based FTS generally shows higher CH4 selectivity than Fe-based FTS.41
The thermodynamic stability of the Co particles of different phases can be evaluated using the Gibbs free energy per cobalt atom, which involves the energy, phonon energies at certain temperature, and surfaces energies at a given particle size.55–58 The details of the theory and calculation methods are shown in Section 2.4. The temperature and particle sizes in which the Gibbs free energy difference is zero represent the condition of phase transition between hcp-Co and fcc-Co, which is given in Fig. 6 and Table S10 (ESI†). The black solid curve corresponds to the conditions of phase transition of bulk cobalt. At 718 K, a phase transition from hcp-Co to fcc-Co happens, which is very close to the experimental transition temperature of 695 K.79,80 This shows that bulk hcp-Co is more stable than bulk fcc-Co below 718 K, and keeping a low operating temperature (<718 K) is beneficial for stabilizing the hcp-Co phase. On the other hand, the particle size also plays an important role in the phase transition as shown in Fig. 6. The transition temperatures of different particle sizes (10 nm, 15 nm, 20 nm, 25 nm, and 30 nm) are 1059 K, 946 K, 890 K, 855 K, and 833 K, respectively. With the increase in the size of cobalt particles, the phase transition temperature gradually decreases until it approaches the bulk transition temperature. When the particle size is larger than 30 nm, hcp-Co is stable only at a relatively narrow temperature window between 718 K and 833 K. Therefore, the ratio of hcp phase particles could be maximized by controlling the operating temperature below 718 K and size of the Co particles as small as possible within the range of 10–30 nm, which will likely lower CH4 selectivity and improve C5+ selectivity of the FTS process as observed experimentally.81
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| Fig. 6 Calculated Gibbs free energy difference for hcp-Co and fcc-Co phases as a function of temperature at different particle sizes. | ||
Footnote |
| † Electronic supplementary information (ESI) available: Detailed data about the CH4 formation and C1 + C1 coupling on hcp-Co and fcc-Co surfaces. See DOI: https://doi.org/10.1039/d3cp06041a |
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