Hao Wan1, Alexander Bagger2, Jan Rossmeisl2. 1. Fritz Haber Institute of the Max Planck Society, 14195 Berlin, Germany. 2. Center for High Entropy Alloy Catalysis (CHEAC), Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen, Denmark.
Abstract
The electrocatalytic N2 oxidation reaction (NOR) using renewable electricity is a promising alternative to the industrial synthesis of nitrate from NH3 oxidation. However, breaking the triple bond in the nitrogen molecule is one of the most essential challenges in chemistry. In this work, we use density functional theory simulations to investigate the plausible reaction mechanisms of electrocatalytic NOR and its competition with oxygen evolution reaction (OER) at the atomic scale. We focus on the electrochemical conversion of inert N2 to active *NO during NOR. We propose formation of *N2O from *N2 and *O as the rate-determining step (RDS). Following the RDS, a microkinetic model is utilized to study the rate of NOR on metal oxides. Our results demonstrate that a lower activation energy is obtained when a catalyst binds *O weakly. We show that the reaction is extremely challenging but also that design strategies have been suggested to promote electrochemical NOR.
The electrocatalytic N2 oxidation reaction (NOR) using renewable electricity is a promising alternative to the industrial synthesis of nitrate from NH3 oxidation. However, breaking the triple bond in the nitrogen molecule is one of the most essential challenges in chemistry. In this work, we use density functional theory simulations to investigate the plausible reaction mechanisms of electrocatalytic NOR and its competition with oxygen evolution reaction (OER) at the atomic scale. We focus on the electrochemical conversion of inert N2 to active *NO during NOR. We propose formation of *N2O from *N2 and *O as the rate-determining step (RDS). Following the RDS, a microkinetic model is utilized to study the rate of NOR on metal oxides. Our results demonstrate that a lower activation energy is obtained when a catalyst binds *O weakly. We show that the reaction is extremely challenging but also that design strategies have been suggested to promote electrochemical NOR.
Nitrates are widely used as
fertilizers in agriculture and oxidizing agents in explosives.[1,2] Nitrate/nitric acid is manufactured by oxidizing ammonia using the
Ostwald process, and the ammonia used here primarily comes from the
Haber–Bosch process.[3] These steps
involve processes requiring high temperature (∼700 K) and high
pressure (∼150 atm), leading to high energy consumption and
large amounts of carbon dioxide emission from the steam reforming
process.[4−6] As a result, it is of great interest to bypass the
ammonia route and develop a direct and sustainable strategy for nitrate
synthesis.[2,7,8]As a
possible approach to produce nitrogen oxides and ultimately
nitrate,[1,5] direct nitrogen oxidation is, however, extremely
slow at ambient conditions, and only very high temperatures or plasmas
enable reasonable reaction rates.[9−11] Electrochemical oxidative
fixation of nitrogen appears to be a very attractive approach which
could be driven by the electricity at ambient conditions, making the
process sustainable. Figure a shows thermodynamic potentials at a reversible hydrogen
electrode (RHE) potential scale for some important reactions, such
as water oxidation and nitrogen reduction and oxidation. Even though
direct N2 oxidation with O2 provides a possible
solution from the thermodynamic point of view, the conflicts between
O2 dissociation, where strong *O adsorption catalysts are
needed,[12] and N2 activation,
which demands a weak *O adsorption catalyst,[13] limit the O2 as the reactant. It can be seen that the
reaction (N2(g) + 6H2O(l) → 2HNO3(g) + 10(H+ + e–)) has an equilibrium
potential of 1.32 V vs RHE, and it has been suggested that nitrate
ion production is thermodynamically favored over the competitive oxygen
evolution reaction (OER) at pH above 1.3 in a wide potential region.[5] In the past two years, a few materials, such
as Pd/MXenes,[14] several oxides (spinel
oxide,[15] Ru/TiO2,[16] and PdO2-based[17,18]) were reported as potential electrocatalysts for NOR toward nitrate.[19−23]Figure b,c displays
Faradaic efficiency (FE) and yields for nitrate formation from experiments.
As can be observed, the FE and currents are low because of the severely
competitive OER.
Figure 1
(a) Redox couples for nitrogen reduction (blue) and oxidation
(red)
with thermodynamic potentials. Note HNO3 is gas. The difference
between oxygen evolution and nitrogen oxidation is shown to highlight
the selectivity challenge for nitrogen oxidation. (b) Experimental
reported faradaic efficiency and (c) yield of nitrate production for
NOR on different materials, like Pd/MXenes,[14] spinel oxide,[15] Ru/TiO2,[16] PdO2-based,[17,18] Pt,[19] Fe/SnO2,[20] Au/Nb2O5–,[21] B13C12,[22] and Ru–Mn3O4[23] against potentials. The gray vertical line indicates
the equilibrium potential of NOR toward HNO3.
(a) Redox couples for nitrogen reduction (blue) and oxidation
(red)
with thermodynamic potentials. Note HNO3 is gas. The difference
between oxygen evolution and nitrogen oxidation is shown to highlight
the selectivity challenge for nitrogen oxidation. (b) Experimental
reported faradaic efficiency and (c) yield of nitrate production for
NOR on different materials, like Pd/MXenes,[14] spinel oxide,[15] Ru/TiO2,[16] PdO2-based,[17,18] Pt,[19] Fe/SnO2,[20] Au/Nb2O5–,[21] B13C12,[22] and Ru–Mn3O4[23] against potentials. The gray vertical line indicates
the equilibrium potential of NOR toward HNO3.For electrochemical NOR, it has been proposed that
the nitrate
formation from N2 oxidation can be divided into two steps:
(i) the conversion of N2 into the *NO intermediate (* denotes
the active site) and (ii) the transformation of *NO to nitrate. The
former is an electrocatalytic process, which is considered as the
rate-limiting step;[13] the latter is a non-electrochemical
redox reaction where the conversion of NO to HNO3 is known
to occur readily through reaction with water.[24] As a result, uncovering the conversion N2 toward *NO
is needed in order to understand the electrochemical NOR.In
this study, the goal is to contribute to the understanding of
the electrochemical NOR by establishing a theoretical framework. We
aim to provide design strategies for NOR electrocatalysts both in
terms of reaction rates and selectivity toward N2 oxidation
relative to oxygen evolution reaction, OER. For the activation of
N2, we evaluate different pathways and investigate the
activation barriers to identify a possible rate-determining step in
NOR. A classification scheme is utilized to investigate key intermediates
(e.g., *N2O and *NO) during the activation of N2 among a class of metal oxide catalysts. The adsorption energy of
*N2 and the adsorption energy difference between *O and
*OH have been applied to describe the competition between OER and
NOR. On this basis, we suggest the limitations of electrochemical
NOR toward nitrate.For electrochemical N2 activation,
we consider the N2 triple bond to be activated via three
different pathways
as seen in Figure . (I) Dissociative path: direct dissociation of N2 is
possible, when the metal oxides have a strong nitrogen adsorption.[25] (II) Hydroxy path: the N2 is activated
by a water molecule, forming *N2OH. (III) Oxygen path:
N2 activation is achieved via reaction with an adsorbed
*O.
Scheme for N2 activation: (I) Dissociative path: N2(g) + 2* → 2*N; (II) Hydroxy path: N2(g)
+ H2O → *N2OH + (H+ + e–); (III) Oxygen path: N2(g) + *O →
*N2O.Figure show simulations
for the N2 activations via the three different paths: (I)
dissociative path, (II) hydroxy path, and (III) oxygen path. Following
(I) the dissociative path, a Brønsted–Evans–Polanyi
(BEP) relation for N2(g) + 2* → 2*N, is obtained
with a slope close to 1 as shown in Figure a. Metal oxides with a weaker 2*N binding
demand a higher activation energy. Most metal oxides investigated
here require energy above 1 eV, indicating that the direct N2 dissociation is unlikely. With respect to (II) the hydroxy path, Figure b shows that the
direct hydoxy to *N2 from H2O for *N2OH formation is unfavorable with a thermodynamic binding above 1.6
eV, compared to *OH adsorption on metal oxides. As a comparison, N2 activation via adsorbed *OH: N2 + *OH →
*N2OH is also considered (see Figure S1), and it has been observed that the required energy is beyond
2 eV for all metal oxides. As for (III) the oxygen path, Figure c shows that the
activation barrier for *N2O formation from *N2 + *O scales with the *O adsorption energy with a slope close to
−1. A lower energy barrier is found on metal oxides with a
weaker *O adsorption energy. For example, metal oxides like SnO2, TiO2, and PdO2 are interesting candidates
with activation energies below 1 eV. As a result, for electrochemical
NOR, N2 might be activated via the oxygen path: N2(g) + *O → *N2O on weak oxygen binding oxides.
Additionally, N2 activation via surface lattice oxygen
(Mars Van Krevelen mechanism, Figure S2) also has been investigated where a lower driving force (more positive
Gibbs free energy change) and a higher activation barrier are observed.
Further NO formation from *N2O + *O shows a lower activation
barrier (see Figure S3). Hence, the activation
of N2 with the adsorbed *O is the rate-limiting step.
Figure 3
(a) Calculated
transition state energy for N2 dissociation as a function
of dissociative chemisorption energy ΔE*2N. Here, unfilled markers are obtained from the linear fitting.
(b) The adsorption energy of *N2OH plotted against the
*OH adsorption energy. The diagonal line shows the equal adsorption
for *OH and *N2OH. (c) Calculated transition state energy for *N2 + *O → *N2O against *O adsorption energy. Considering the scaling between
ΔE and ΔE*O (Figure S4), and then + 1.24 eV. It should be noted that N2 adsorption is unfavorable for most metal oxides.
(a) Calculated
transition state energy for N2 dissociation as a function
of dissociative chemisorption energy ΔE*2N. Here, unfilled markers are obtained from the linear fitting.
(b) The adsorption energy of *N2OH plotted against the
*OH adsorption energy. The diagonal line shows the equal adsorption
for *OH and *N2OH. (c) Calculated transition state energy for *N2 + *O → *N2O against *O adsorption energy. Considering the scaling between
ΔE and ΔE*O (Figure S4), and then + 1.24 eV. It should be noted that N2 adsorption is unfavorable for most metal oxides.As a competition for NOR, the parasitic OER has
to be considered.
A classification approach is utilized for understanding the competition
between OER and NOR, which is similar to previous work related to
CO2/NO/N2 reductions.[26−29] First, the molecular adsorption
of N2, N2O, and NO is simulated. Figure a shows that the *N2 adsorption energy is plotted against the adsorption energy of *N2O () on metal oxide catalysts where a close
correlation between these two intermediates is observed. The horizontal
dotted line demonstrates the equilibrium between N2(g)
+ * → *N2, while the vertical line illustrates the
equilibrium between N2O(g) + * → *N2O.
Three groups of catalysts can be identified: (1) both *N2 and *N2O adsorption are favorable, such as IrO2; (2) both *N2 and *N2O adsorption are unfavorable,
like SnO2, TiO2, and PtO2; (3) binding
*N2O but not *N2, like RuO2. This
suggests that metal oxides in group 1, such as IrO2, might
be capable of activating the N2 molecule because of its
strong interaction, and it can be noted that the metal oxides which
can bind the N2 can also bind N2O. Figure b shows the adsorption
energies of *N2 vs *NO on metal oxide catalysts. All catalysts
except SnO2 and TiO2 bind *NO. Further, the
competition of OER is then considered using a microkinetic model.
Figure 4
Adsorption
energies of the intermediates (a) *N2 vs
*N2O and (b) *N2 vs *NO. The horizontal lines
demonstrate the equilibrium between N2(g) + * →
*N2, while the vertical line in panel a illustrates the
equilibrium between N2O(g) + * → *N2O
and the vertical line in panel b represents the equilibrium between
NO(g) + * → *NO.
Adsorption
energies of the intermediates (a) *N2 vs
*N2O and (b) *N2 vs *NO. The horizontal lines
demonstrate the equilibrium between N2(g) + * →
*N2, while the vertical line in panel a illustrates the
equilibrium between N2O(g) + * → *N2O
and the vertical line in panel b represents the equilibrium between
NO(g) + * → *NO.One of the possible microkinetic models that can
be considered
for N2 oxidation assumes that N2O formation
is the rate-determining step, which is suggested from Figures and S3. To keep the kinetic model simple but still capturing the important
chemistry, we consider the following reactions:For each step in quasi-equilibrium we can
use the Langmuir isotherm:At low temperatures, the surface will
be dominated by adsorbed
*O, such that *O is the most abundant reaction intermediate, implying
that θ* can be written asAssuming that eqs , 2, and 4 are quasi-equilibrated
for NOR and that the total number of catalytic sites is fixed leads
to the following analytical expression for the rate of nitrogen oxidation
(R(NOR); for more details, see the Supporting Information). As for the rate of water oxidation
(R(OER)) for promising NOR catalysts which can provide
a reactive *O, like PtO2, TiO2, SnO2, and PdO2 (see Figure a), it is limited by the formation of *O (eq ) which is potential-dependent.The Faradiac efficiency (FE) for NOR is then
defined by
Figure 5
(a) OER activity volcano: the limiting potential
vs ΔE*O – ΔE*OH. The horizontal dashed line is the theoretical
value (1.23 V) for
OER. (b) 2-D activity heatmap describing FE (here, log10FE is employed) for the nitrogen oxidation as a function of (ΔE*O – ΔE*OH) and , computed at a temperature of 300 K with
(a) = 1, = 1. It is important to note that the coverage
of *O is kept fixed by applying a potential of (ΔE*O – ΔE*OH)/e.
The vertical dotted line demonstrates the optima of ΔE*O – ΔE*OH for providing best OER catalytic activity. It should be noted that
ΔE*O – ΔE*OH of SnO2, PdO2 (unfilled markers)
have been adjusted using the scaling relation in Figure S6 in order to obtain simulated . Structures in panel b: IrSnO2. O, red; N, blue; Sn, gray; Ir, royal blue.
(a) OER activity volcano: the limiting potential
vs ΔE*O – ΔE*OH. The horizontal dashed line is the theoretical
value (1.23 V) for
OER. (b) 2-D activity heatmap describing FE (here, log10FE is employed) for the nitrogen oxidation as a function of (ΔE*O – ΔE*OH) and , computed at a temperature of 300 K with
(a) = 1, = 1. It is important to note that the coverage
of *O is kept fixed by applying a potential of (ΔE*O – ΔE*OH)/e.
The vertical dotted line demonstrates the optima of ΔE*O – ΔE*OH for providing best OER catalytic activity. It should be noted that
ΔE*O – ΔE*OH of SnO2, PdO2 (unfilled markers)
have been adjusted using the scaling relation in Figure S6 in order to obtain simulated . Structures in panel b: IrSnO2. O, red; N, blue; Sn, gray; Ir, royal blue.The reaction constant k3+ for eq can be calculated from transition-state
theory (TST)
while the equilibrium constants for eq (K1), eq (K2), and the overall reaction (KTOT) can
be computed as shown in eqs , 17, and 18.where ΔGrxn,1 and ΔGrxn,2 are the reaction energy for eqs and 2, respectively. Following
the Gibbs free energy change ΔG,2 for the reaction in eq , the rate constant k2+ can be expressed
as k2+ = where URHE is
the applied potential, indicating that k2+ is potential-dependent.
The rate constant, k3+, in eq does not depend on the applied potential as this is a purely
thermal heterogeneous catalytic step. The above expression for FE
(eq ) is written explicitly
in terms of the pressure of the reactant (N2) and product
(NO) relative to the standard state pressure (1 bar). In the following
analysis, the influence from O2 partial pressure is not
included, since there is a limited impact from the change of the O2 chemical potential under a high O2 partial pressure.
Here, FE can be approximated using only two independent electronic
energy parameters: N2 adsorption energy and O adsorption energy (ΔE*O).In Figure a, the
OER activity volcano is plotted as a function of ΔE*O – ΔE*OH. In Figure b, a 2-D activity
heatmap also employs ΔE*O –
ΔE*OH as a parameter, with the utilization
of scaling relation between ΔE*O and ΔE*O – ΔE*OH (see Figure S6). As a result, a 2-D activity heatmap for FE of NOR can be constructed
based on these two descriptors as shown in Figure b where FE is computed at a temperature of
300 K with applied potential of URHE =
(ΔG*O – ΔG*OH)/e to fix *O coverage. This applied
potential is also intended for adsorbed *O to be thermodynamically
stable at the surface. The vertical dotted line demonstrates the optima
of ΔE*O – ΔE*OH for providing best OER catalytic activity.Figure b shows
that the FE toward NO for almost all oxides is extremely low, and
only SnO2 and PdO2 show limited FE for NOR under
conditions of = 1, = 1 with temperature at 300 K. Further
increasing the partial pressure for N2 or decreasing the
content of H2O (see Figure S7) has only a limited improvement for the activity toward NOR, and
still the OER dominates. Clearly, NOR is limited compared to OER.
However, the heatmap indicates that a higher activity for NOR can
be obtained when a catalyst has a stronger N2 adsorption
and a weaker *O adsorption. As a result, mixing a weak *O adsorption
catalyst like TiO2, PdO2, or SnO2 with strong N2 binding sites like Fe, Ir, and Ru could
provide higher NOR activity. For example, experimentally it has been
reported that Ru-doped TiO2 enabled a nitrate yield rate
of 10.04 μg h–1mg–1 with
an FE of 26.1%[16] and Fe-SnO2 demonstrated a nitrate yield rate of 42.9 μg h–1mg–1 with an FE of 0.84%.[20] Here, some bimetallic oxides, including RuTiO2, IrTiO2, IrPdO2, and IrSnO2, which are computationally
constructed by the second metal atom replaced with the first metal
atom, have been investigated. For example, IrSnO2 is constructed
by the substitution of surface Sn with Ir in SnO2 bulk
(see structures in Figure b). As suggested in Figure b, IrSnO2 might be an interesting candidate
for NOR ( 0.34 eV, see Figure S8) when *N2 is adsorbed on Ir while *O sits on
Sn (magenta star in red area). However, the competition might also
exist if *O is adsorbed on Ir, where there is no NOR activity (the
magenta star in the blue area). As for other bimetallic oxides, no
NOR catalytic activity is observed because of either a weak N2 binding (RuTiO2 and IrPdO2) or a relatively
strong *O adsorption (RuTiO2, IrTiO2, and IrPdO2; see Table S4).Another
more promising strategy for higher intrinsic catalytic
NOR activity and selectivity is to find catalysts with a better BEP
for N2(g) + *O → *N2O. The ideal BEP
for this *N2O formation is activation energy close to the reaction energy ΔE. This can be achieved by stabilizing the transition state
relative to the final state. In other words, the transition state
and final state should have a similar adsorption configuration, which
has been employed on electrochemical O2 reduction by using
dual-site (diporphyrin) catalysts.[12,30] To be more
specific, there is around 1.24 eV intercept difference between the
BEP on metal oxides and the ideal BEP relation. On metal oxides (Figure S8), the tilting and returning process
of *N2 during *N2O formation contributes to
the extra barrier (1.24 eV) to overcome except the reaction energy
difference part. Eliminating the tilting and returning of *N2 will move the BEP toward the ideal situation. This can be achieved
by constructing another three-dimensional active site similar to the
structure of diporphyrin to have adsorbed *O right above the adsorbed
*N2, not like the neighboring adsorption in metal oxides.
The other active site serves as an *O shuttle, which does not require
the *N2 tilting or moving as shown in Figure S9. With the utilization of the ideal BEP relation,
the stronger *O binding area is unlocked for higher NOR activity and
selectivity (see Figure S10).In
this study, we use DFT simulations to investigate the possibility
of the electrochemical NOR over rutile metal oxide catalysts. During
the NOR process, the OER is a parasitic reaction on all metal oxides
and a grand challenge to avoid. A fundamental surface catalytic limitation
in terms of a compromise between selectivity and activity of NOR is
identified. Similar to electrochemical N2 reduction, one
of the challenges is really that N2 does not bind particularly
strongly on any catalyst even though binding N2 on the
oxides is slightly stronger than on metals.[29] Our results propose the activation of N2 with *O forming
*N2O as the rate-limiting step. Via changing the catalytic
surface, it is possible to tune the reactivity of an adsorbed *O atom.
This correlates with the activation energy required to activate N2. A less stable oxygen binding catalyst, i.e., a catalyst
providing a more reactive *O, such as PdO2 and SnO2, results in a lower energy barrier to overcome for *N2O formation. Consequently, a higher potential needs to be
applied. A 2-D activity heatmap constructed via a simple mircokinetic
model demonstrates that in addition to a weaker *O adsorption, a fairly
strong N2 adsorption might also promote a higher NOR activity.
These suggest that systems mixing a weaker *O adsorption bulk like
PdO2 and SnO2 with a strong N2 binding
site, like Fe, Ru, or Ir, can be interesting candidates. These results
possibly explain the experimental observation where some electrochemical
NOR activity was observed on systems such as Fe-SnO2 and
Ru-PdO2. Following these results, Ir-SnO2 has
been investigated as another possible candidate for NOR when Sn has
*O adsorbed and N2 binds on Ir. In addition, a higher N2 pressure and low water content also slightly promote NOR
over OER. Finding electrocatalysts with a more favorable BEP for N2O formation can be another promising strategy for the desired
NOR. These findings might benefit the way for the design and discovery
of the selective and active NOR electrocatalysts. Future work for
a more comprehensive investigation of bimetallic oxides might be interesting
to further explore with the aim of higher selectivity. Computationally,
beyond-generalized gradient approximation (GGA) approaches such GGA+U
or hybrids might be interesting to be utilized to investigate the
defect/polaron states in catalysts.[31] In
addition, grand canonical DFT[32−34] could be further employed in
the future to explore other possible reaction pathways and explicit
dependence on pH, applied potential, surface coverages, and ions for
a more detailed understanding of NOR.
Authors: Jingguang G Chen; Richard M Crooks; Lance C Seefeldt; Kara L Bren; R Morris Bullock; Marcetta Y Darensbourg; Patrick L Holland; Brian Hoffman; Michael J Janik; Anne K Jones; Mercouri G Kanatzidis; Paul King; Kyle M Lancaster; Sergei V Lymar; Peter Pfromm; William F Schneider; Richard R Schrock Journal: Science Date: 2018-05-25 Impact factor: 47.728
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