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Transcript of Chem Soc Rev TUTORIAL REVIEW - University of Toronto
Chem Soc Rev
TUTORIAL REVIEW
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Received 00th January 20xx,
Accepted 00th January 20xx
DOI: 10.1039/x0xx00000x
Shining light on CO2: From Materials Discovery to Photocatalyst, Photoreactor and Process Engineering
Yuchan Donga, Paul Duchesnea, Abhinav Mohana, Kulbir Kaur Ghumanb, Paul Kantc, Lourdes Hurtadoa, Ulrich Ulmera, Joel Y.Y Lohd, Athanasios A. Tountasa, Lu Wanga,e, Abdinoor Jellea, Meikun Xiaa, Roland Dittmeyer c, Geoffrey A. Ozina
A celebration of the 77th birthday of Professor Geoffrey Ozin
Heterogeneous catalysis, a process in which the reaction of gaseous or liquid chemical reagents is facilitated at the surface
of a solid material, is responsible for the majority of industrial-scale chemical and fuel production reactions. The energy
required to drive these reactions has historically been derived from the combustion of non-renewable fossil fuels and carries
an unavoidably large carbon footprint. More recently, the development of environmentally responsible and sustainable
chemical industries is increasingly motivated by greenhouse gas-induced climate change, thus creating demand for eco-
friendly heterogeneous catalytic processes. This includes innovative approaches enabled by renewable forms of energy,
such as the electrification of chemical and petrochemical processes, utilization of CO2 as a feedstock and the incorporation
of light into catalytic reactions.
Herein we review the conversion of solar energy to chemical energy using CO2, and describe how the photophysical and
photochemical properties of nanostructured metal oxide photocatalysts have been engineered to efficiently incorporate
light into heterogeneous gas-solid CO2 hydrogenation reactions. Realizing high photonic and energy efficiencies in these
systems has demanded innovation in not only photocatalyst engineering, but also photoreactor and process engineering.
Rather than exclusively providing an in-depth discussion of the chemistry and science within each individual study, this
Tutorial Review highlights the multidisciplinary character of photocatalysis studies by covering the four essential
components of a typical research work in this field (materials engineering, theoretical modelling, reactor engineering and
process development) via case studies of the archetypal indium oxide catalyst materials. Through advances in these four
components, progress has been made towards the ultimate goal of industrializing the production of CO2-derived chemicals
and fuels.
Introduction
The connection between CO2 and global warming via the
greenhouse gas effect can be traced to the early works of
Joseph Fourier (1827), John Tyndall (1859), and Svante
Arrhenius (1896).1 The idea of using TiO2 semiconductor
photocatalysts and photoelectrodes to imitate natural
photosynthesis emerged as a mainstream topic of research well
before climate scientists began to seriously discuss the growing
concentration of anthropogenic CO2 in the troposphere and its
deleterious effects on global climate.2 This work inspired the
rapid growth of international research into water splitting and
CO2 conversion via solar-powered thermochemical,
electrochemical and biochemical means.3-5
Various reviews have been published regarding the applications
and mechanisms of CO2 photocatalysis, especially in the
aqueous phase.6,7 However, gas-phase heterogeneous
photocatalytic CO2 reduction methods, with their potential for
ready integration into existing thermocatalytic processes, have
remained relatively less explored. By replacing combustion-
a. Solar Fuels Group, Department of Chemistry, University of Toronto, 80 St. George, ON, M5S 3H6, Canada, email: [email protected], www.solarfuels.utoronto.ca
b. Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, 1650 Boul. Lionel-Boulet, Varennes, Quebec, Canada J3X 1S2
c. Karlsruhe Institute of Technology (KIT), Institute of Micro Process Engineering (IMVT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen
d. Department of Electrical and Computing Engineering, University of Toronto, 10 King’s College Road, Toronto, ON M5S 3G4, Canada
e. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong, China 518172
Key learning points 1. Material engineering strategies and new reactor designs for enhanced performance in the heterogeneous photocatalytic hydrogenation of CO2. 2. Computational modelling design strategies for studying the function of defects, light and heat in photocatalytic CO2 hydrogenation processes. 3. Comparison of thermochemical, photochemical and photothermal CO2 utilization and future opportunities. 4. Key decision-making criteria for assessing photocatalytic process viability and potential.
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driven heating with solar irradiation, gas-phase CO2
hydrogenation reactions such as reverse water gas shift,
methane dry reforming, methanol synthesis, methanation, and
hydrocarbon production could thus be driven under relatively
mild conditions. Doing so would reduce the carbon footprint of
future refineries while also offering a renewable source of
chemicals and fuels from CO2. However, a significant challenge
to the technological relevance and cost-effectiveness of
photocatalytic CO2 hydrogenation is the low efficiency or
stability of existing photocatalysts, which necessitates both
advancements in materials design and a comprehensive
understanding of the photocatalytic process.
Metal oxides are omnipresent in the field of gas-phase
heterogeneous CO2 catalysis, due largely to their stability
relative to other chemical compositions. Among these oxides,
wide-bandgap (UV-absorbing) insulators notably absorb only a
small fraction of incident solar radiation, which has a marked
impact on their photochemistry.8 As recommended by the US
National Renewable Energy Laboratory (NREL), the AM1.5
spectrum is commonly used to represent the solar spectrum at
sea level on Earth, as it also takes into consideration the variable
angle of the sun due to Earth's rotation. The distribution of
wavelengths present in solar radiation resembles that arising
from a black body and is further modified by absorption as they
pass through the Sun's corona and the Earth's atmosphere. As
such, emission intensity is highest at wavelengths just below
500 nm, drops rapidly in the UV as it approaches 140 nm and
more gradually diminishes into the infrared toward 4,000 nm.
In the case of archetypal TiO2, for instance, its large bandgap
(3.2 eV) means that barely 5% of the incident solar energy can
be utilized to create electron-hole pairs. Moreover, once
electron-hole pairs are generated, the energetics and dynamics
of these charge carriers determine their ultimate fate, be it
relaxation via physical processes to generate heat/light or
transfer to adsorbed reactants to enable chemistry.9 Therefore,
in order to fully utilize solar energy and achieve high catalytic
activity, an effective CO2 photocatalyst should be able to: 1)
generate excited charge carriers capable of surviving long
enough to perform catalytic reactions (i.e., microseconds to
seconds), and 2) provide active sites for the adsorption and
transformation of CO2 and other reactant molecules.
To this end, extending photocatalyst’s light absorption to the
visible range, suppressing the recombination of charge carriers
and optimizing surface active sites are important objectives in
gas-phase photocatalysis studies. However, merely controlling
the structure, composition, size, and shape of nanostructured
metal oxides is insufficient; it is also necessary to tailor surface
defects such as coordinately unsaturated metal and oxygen
sites, and hydroxide groups. Those defects which act as active
sites create mid-bandgap states that broaden the optical
absorption range and extend the lifetimes of photogenerated
charge-carriers, thereby encouraging photochemical reactions
rather than non-productive, photophysical recombination
processes.10,11 Beyond utilizing solar light to produce
photoexcited electron-hole pairs for surface reactions
(photochemical processes), photocatalysts can convert light
energy to heat through localized surface plasmon or carrier
relaxation (thermochemical processes), which can improve the
overall energy efficiency of the catalytic process by mitigating
the need for external heating.53 Photothermal catalysis,
combining both thermochemical and photochemical catalysis
within a single system, thus offers the opportunity to further
boost photocatalysis efficiency.10
One major goal of this Tutorial Review is comparing a library of
photocatalytic nanomaterials for heterogeneous CO2
hydrogenation and providing an overview on their synthesis-
structure-property relationships. Understanding the photo-
chemistry and photophysics underpinning their excited-state
surface reactivity with gaseous H2 and CO2 under light
irradiation was also a priority, necessitating the study of
catalytic activity, selectivity, reaction kinetics, stability trends,
percent conversion, and photonic and energy efficiencies in
order to provide parallel comparisons. While many excellent
reviews of different classes of materials and materials
engineering methods for heterogeneous CO2 photocatalysis
have been written in the past few years, the literature generally
lacks a coherent and uniform comparison of catalytic
performances due to differences between testing systems and
rate calculation methods.12 Herein we choose indium oxide as
an exemplary photocatalyst for illustrating the concepts and
principles pertinent to designing a high-performance
heterogeneous CO2 photocatalyst, and investigate the
effectiveness of each materials engineering method.
Considering the interdisciplinary nature of photocatalytic
studies, which involve chemists, physicists and engineers with
different educational backgrounds in materials design,
computational modelling and reactor engineering, principles
underlying theoretical studies and new reactor engineering
strategies are also introduced to provide a comprehensive
picture and valuable tutorial experience.
Engineering of Metal Oxide Materials
Distinct forms of a metal oxide material can be obtained by
tailoring its defects (e.g., stoichiometric MxOy versus non-
stoichiometric MxOy-n), polytype (e.g., rutile, anatase, or
Figure 1. Jablonski scheme for engineered forms of metal oxides. Illustration of the photo-physical processes of solar irradiation of metal oxide engineered through chemistry to contain mid-gap electron acceptor defect states below the CB edge (oxygen vacancy [O]v, coordinately unsaturated meta (M’) and isomorphic substituted metals (M*’) and mid-gap hole acceptor defect states above the VB (hydroxyl OH and coordinately unsaturated oxygen O’).10,13 Recreated with permission from Refs 10 and 13. Copyright 2019 Royal Society of Chemistry and 2016 National Academy of Sciences.
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brookite TiO2), superstructure (e.g., assembled-nanocrystal
nanorods), isomorphic substitution (e.g., M*zMx-zOy), and/or
heterostructure formation (e.g., MxOy/M* or MxOy/M*Oy).
Various microscopic, diffractive, and spectroscopic analytical
techniques, including time-resolved and in situ measurements,
have been applied to elucidate the physical and chemical
dynamics of photogenerated charge carriers and compare the
effect of materials engineering. These analyses enable the
formulation of a Jablonski scheme depicting photophysical and
photochemical processes deemed to follow the absorption of
bandgap and sub-bandgap solar irradiation, as shown in Figure
1.10,13 Here, the progenitor metal oxide photocatalyst can be
engineered to contain mid-gap electron-acceptor defect states
below the conduction band edge (i.e., oxygen vacancies, [O]v;
coordinately unsaturated metal, M’; and isomorphic
substituted metals, M*’) as well as mid-gap hole-acceptor
defect states above the valence band (e.g., hydroxyl, OH, and
coordinately unsaturated oxygen, O).
As shown in the aforementioned Jablonski scheme, photo-
generated electrons and holes can follow both fast (bandgap)
and slow (sub-bandgap) decay pathways. The latter processes
involve carriers trapped in defect states with lifetimes
sufficiently long for them to participate in chemical reactions
catalysed by active sites such as surface frustrated Lewis pairs
(SFLPs); in the case of defect-laden indium oxide In2O3-x(OH)y,
SFLPs are composed of proximal Lewis-basic In-OH sites and
Lewis-acidic In’/M’ sites.14 The photocatalytic activity of In2O3-
x(OH)y can then be modified by various materials engineering
methods, including altering the Lewis acidity/basicity of the
SFLP components and the distance between them as shown in
Figure 2 and Table 1.15
Nanocrystals and Superstructures
Like many metal oxide semiconductors, the optoelectronic
structure of In2O3 can be hugely impacted by its crystal phase,
size, morphology, doping elements, and defect concentrations,
which makes it an incredibly versatile material. Generally, In2O3
is an n-type semiconductor with direct and indirect band gaps
of 3.7 and 2.6 eV, respectively. The n-type conductivity is
attributed to its oxygen vacancy ([O]v) defects, which increase
electron density at In sites.16
Nanostructures tend to favour the formation of defects due to
their high surface-to-volume ratio, and studies have shown that
the energy required for [O]v formation is lower at surfaces than
in bulk.17 Thus, many studies aimed at tuning the electronic
properties of metal oxide photocatalysts have focused on
synthesizing nanoscale materials with different sizes and
morphologies. For instance, highly crystalline spherical In2O3
nanocrystals were prepared by thermal decomposition of
In(acac)3/oleylamine mixture in an argon atmosphere. In2O3
particles of 4, 6 and 8 nm in diameter were obtained by tuning
the ratio of In(acac)3 to oleylamine, with size-dependent
photoluminescence being exhibited due to quantum
confinement effects.18 In2O3 nanocrystal nanorods with
different lengths (from 800 nm to 1,830 nm) have also been
synthesized via slow hydrolysis of InCl3 in urea solution, with
their photocatalytic properties being compared through CO2
hydrogenation. The longest nanorods performed best due to
longer charge carrier lifetimes (4.81 μs for 1,830 nm rods versus
1.78 μs for 800 nm rods) induced by the nanocrystal nanorod
superstructure, which allowed electrons to migrate between
nanocrystals and avoiding recombination with holes.19
The interaction between reactant molecules and defects on the
metal oxide surface also hugely impacts catalytic activity.
Defect-laden indium oxide (In2O3-x(OH)y) nanocrystals bearing
both [O]v and OH defects were prepared via thermal
dehydroxylation of indium hydroxide in air, and showed
impressive photocatalytic activity toward CO2 hydrogenation.20
This synthesis approach of converting hydroxide to oxide-
Figure 2. Synthetic pathways and relationships between different forms of defected indium oxide.
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hydroxide allowed the proportions of hydroxides and oxygen
vacancies to be carefully tuned, via the temperature and
duration of the heat treatment, to achieve the best
photocatalytic activity.21 In sites adjacent to [O]v acted as the Lewis
acid and the proximal OH defect acted as Lewis base, together
forming an SFLP active site able to heterolytically dissociate H2,
generating a protonated hydroxide and indium hydride that
subsequently reacted with CO2 to form CO.14 These protonic
and hydridic hydrogen species formed from hydrogen cleavage
can be detected through 1H magic angle spinning (MAS) NMR
and diffuse reflectance infrared Fourier transform spectroscopy
(DRIFTS) measurements.22
Isomorphic Substitution
Tuning the chemical nature, concentration, and position of
dopants in the metal oxide lattice is another effective method
of modifying the optoelectronic properties of metal oxide. The
bixbyite type structure of cubic In2O3 (𝑰𝒂�̅�) can be viewed as
defected fluorite with one-quarter of the oxygen sites being
vacant. These vacant sites provide space for extrinsically doped
atoms. For instance, tin-doped In2O3 (Sn-In2O3, ITO) is a
transparent conductor widely used in electronic devices. Due to
the 4+ valence of Sn4+, each Sn4+ replacing In3+ in the lattice
contributes one free electron to the conduction band.
Meanwhile, the charge imbalance between Sn4+ and In3+ needs
to be compensated by the incorporation of oxygen anions into
some of the structural anion vacancy sites of In2O3.23
Additionally, the two distinct indium positions in cubic In2O3
(24d and 8b) differ in their bonding with neighbouring oxygen
atoms, thus providing further opportunity for site-selective
substitution.
Given that reaction rate and selectivity of In2O3-x(OH)y are both
apparently dictated by the SFLP, these properties could be
advantageously tailored through chemical means by adjusting
the SFLP geometry, as well as the Lewis acidity and Lewis
basicity of its In and In-OH sites, respectively, via isomorphic
substitution.15 One study of Bi3+-substituted In2O3-x(OH)y
nanocrystals, for instance, indicated that differences in atomic
size, electronegativity and degree of Bi3+ substitution provided
a quantitative means of tuning both the distance between Lewis
acid and base sites, as well as the Lewis acidity/basicity of the
SFLP.24 Elemental substitution also creates new mid-gap states
within the electronic bandgap, which generates visible-
Table 1. Performance metrics and experiment parameters for selected indium oxide photocatalyst materials. *1 sun intensity = 100 mW/cm2
Material Target
Product
Rate
(μmol h-1 g-1)
Selectivity
(%) Reactor
H2/CO2
Ratio
H2 /CO2 Flow Rate
or Pressure
Temperature
(°C) Light Source
c-In2O3-x(OH)y
nanocrystals20 CO 0.25 100 Batch 1:1 15 psi/15 psi 150
1000 W metal halide bulb
(2.2 suns*)
c-In2O3-x(OH)y
nanocrystals20 CO 15 100 Flow 1:1 3 sccm/3 sccm 150 300 W Xe lamp (22 suns)
c-In2O3-x(OH)y
nanorods19 CO 1.2 100 Batch 1:1 15 psi/15 psi 150
1000 W metal halide bulb
(0.8 sun)
Bi3+-substituted
In2O3-x(OH)y24
CO 1.32 100 Batch 1:1 15 psi/15 psi 150 1000 W metal halide bulb
(0.8 suns)
Bi3+-substituted
In2O3-x(OH)y24
CO 100 100 Flow 1:1 1 sccm/1 sccm 170 300 W Xe lamp
(~8 suns)
rh-In2O3-x(OH)y27 MeOH 180 13 Flow 3:1 6 sccm/2 sccm 270
130 W Xe lamp
(10 suns)
c-In2O3-x29
CO 24000 100 Batch 1:1 15 psi/15 psi
No external heat
(~260)
300 W Xe lamp
(20 suns)
c-In2O3-x29
CO 2000 100 Flow 1:1 1 sccm/1 sccm 300 300 W Xe lamp
(8 suns)
In2O3-x(OH)y
on SiNW31 CO 22.0 100 Batch 1:1 15 psi/15 psi
No external heat
(~150)
300 W Xe lamp
(20 suns)
In2O3-x(OH)y
on Nb2O534
CO 1400 100 Batch 1:1 13.5 psi/13.5 psi No external heat
(~60)
300 W Xe lamp
(25 suns)
In2O3-x(OH)y on
quartz rod44 CO 246.2 100 Annular (flow) 5:1 5 sccm/1 sccm 200
120 W Xe lamp
(~2 suns)
In2O3-x(OH)y
on Cu foam45
CO 1.5 88 Annular (flow) 1:1 3 sccm/3 sccm 185 Solar simulator AM 1.5G
(~2.5 suns)
In2O3-x(OH)y on Ni foam45
CO 32 81 Annular (flow) 1:1 3 sccm/3 sccm 185 Solar simulator AM 1.5G
(~2.5 suns)
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wavelength photon absorption. According to external quantum
efficiency (EQE) measurements, shallow to deep trap states
around 550 nm were present in Bi3+-substituted In2O3-x(OH)y
samples. With increasing Bi3+ substitution levels, the main
photocurrent absorption edge was red-shifted from 430 nm to
470 nm, indicating that enhanced light absorption was induced
by Bi3+ substitution. Thus, tailoring the chemical, electronic and
optical properties of metal oxides via isomorphic substitution
provides a rational and systematic approach toward optimizing
their photocatalytic activity and selectivity for CO2
hydrogenation.
Polymorph Selection
Another strategy that can enable optimization of gas-phase
heterogeneous CO2 photocatalyst performance is materials
engineering of polymorphism. The polymorphs of TiO2 have
been heavily studied and compared regarding their
photocatalytic properties, as has been summarized in many
reviews.25 In2O3, the new rising star in photocatalysis, has two
primary crystal phases defined by space group symmetries 𝑰𝒂�̅�,
(cubic) and 𝑹�̅� (rhombohedral), with the former being widely
studied both experimentally and theoretically.26 Cubic In2O3,
the most stable form of In2O3, is a bixbyite-type structure with
two distinct In sites and one O site atom occupying 8b, 24d, and
48e Wyckoff positions, respectively. It can be obtained by
various synthetic methods such as direct oxidation of indium
metal, or calcination of indium hydroxide and indium salts.
Rhombohedral In2O3 is a corundum-type structure with one In
site and one O site at the 12c and 18e Wyckoff positions,
respectively. It has been rarely studied, as it was thought to be
a metastable phase at ambient temperature and pressure, and
was typically prepared by treating cubic In2O3 at high
temperatures and pressures. Recently however, nanoscale
rhombohedral indium oxide (rh-In2O3-x(OH)y) with [O]v and OH
defects has been prepared through the calcination of InOOH,
which exhibits significantly higher activity and superior stability
while also favouring the production of CH3OH over CO. Though
the band gap of rh-In2O3-x(OH)y is slightly larger than that of c-
In2O3-x(OH)y (3.01 eV versus 2.89 eV, respectively), detailed
studies have observed gains in catalytic performance relative to
cubic bixbyite In2O3-x(OH)y. Here, the increased distance
between the acidic and basic components of SFLP sites was
observed on switching from the cubic to rhombohedral
polymorph, thereby resulting in enhanced reactivity.27
Non-stoichiometry
Photocatalyst performance can also be tuned by introducing
additional defects to enhance light utilization and reactant
activation. Hydrogenated black TiO2-x exhibited a substantially
narrowed bandgap compared with stoichiometric TiO2 due to
intra-band transitions;28 likewise, In2O3 was hydrogenated to
create non-stoichiometric, ultra-black c-In2O3-x, in which oxygen
vacancies gave rise to mid-gap states that could accommodate
charge-balancing electrons.29,52 As the non-stoichiometry (x)
increased, the pale-yellow colour gradually became dark grey,
eventually turning black, with the band gap narrowing from
2.66 eV to 2.36 eV.29 According to UV-VIS-NIR reflectance
measurements, this modification to In2O3 could enhance its
absorption of the solar spectrum and even achieve intense and
uniform light absorption of ~90% between 250 and 2,500 nm.
Compared with pristine In2O3, photoconductivity measurements
showed that ultra-black c-In2O3-x also exhibited faster photo-
saturation upon light irradiation and slower photocurrent
decay, which is attributed to increasing optical absorption of
visible and near infrared light by an increasing number of mid-
gap and conduction electronic states.
In a batch reactor with a light intensity of approximately 20
suns, black c-In2O3-x exhibited a CO production rate more than
2,400 times that of (pale-yellow) In2O3. The superior catalytic
activity of black c-In2O3-x arises from its surface oxygen
vacancies, which abstract O from CO2 to form CO and are
subsequently regenerated by reaction with H2 to form H2O,
thereby completing the catalytic cycle. This photochemistry is
also enhanced by the photothermal and plasmonic effects
associated with the aforementioned mid-gap and conduction
electron states, respectively.
Hybrids
The catalysts discussed thus far are single-component
materials. They still face some challenges regarding industrial
applications, particularly in terms of material cost and stability
on larger scales, where coke and water vapor formation can
cause deactivation. Thus, it is necessary to introduce greater
photothermal and plasmonic effects into the system to further
improve the performance of metal oxide photocatalysts while
maintaining their active sites. These needs can be met by
incorporating metal oxide photocatalysts into binary
architectures. In such catalysts, photo-chemical, photothermal,
and plasmonic components are integrated synergistically to
enhance the overall efficiency of solar energy conversion.
Binary heterostructures of In2O3-x(OH)y that incorporate
broadband light-absorbing materials can photothermally or
photochemically accelerate the rates of catalysed reactions.
Examples include using black Si nanowire arrays to form In2O3-
x(OH)y/SiNW and niobium pentoxide nanorods to form In2O3-
x(OH)y/Nb2O5. These Si nanowire supports, with a band gap of
1.1 eV, provided a photothermal activity enhancement to the
photocatalytic In2O3-x(OH)y nanocrystals whose band gap is 2.9
eV. More specifically, the vertical configuration of the black Si
nanowires, as shown in Figure 3a-c, enabled efficient
broadband light harvesting across the near-infrared, visible and
ultraviolet wavelength ranges, absorbing over 85% of incident
solar intensity by minimizing reflective losses.30 As a result of
this enhancement, the hybrid photocatalyst was able to reduce
CO2 to CO at a rate of 22.0 μmol g cat-1 h-1, a 6-fold rate increase
over that of an identical In2O3-x(OH)y catalyst on a roughened
glass substrate.31
Owing to the traditional application of indium oxide catalysts
under predominately thermal conditions, many oxide supports
that have been studied in the field of CO2 heterogeneous
thermocatalysis can also provide valuable lessons for designing
better photocatalysts. For instance, supporting In2O3 on ZrO2
has been shown to prevent catalyst deactivation by CO.32 Unlike
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the copper/zinc-oxide/alumina (CZA) system in which CO
addition enhances performance via the water gas shift (WGS)
reaction, up to 80% of the CO2 feedstock could be substituted
with CO to promote the generation of vacancies in In2O3/ZrO2.
Thus, the catalyst remained stable for 1,000 h under
thermocatalytic conditions, avoiding the otherwise rapid
deactivation than would typically occur within 1 h.3,32,33 The
electronic effect of ZrO2 not only provided sintering resistance,
but was also believed to generate a new type of vacancy and a
different reaction pathway by abstracting oxygen from the
active indium phase. Similarly, Nb2O5 nanorod supports in
Figure 3d served to increase the concentration of oxygen
vacancies relative to pristine In2O3-x(OH)y, thereby prolonging
charge-carrier lifetimes by around 30%, according to time-
resolved fluorescence spectroscopy measurements, and
enhancing their chemical reactivity.34
Computational Modelling
Throughout the development of metal oxide-based catalysts,
computational modelling has played a key role in improving our
understanding of a material’s surface defects and its interaction
with reactant molecules, which guides further materials
engineering and unveils catalytic pathways. Point defects (such
as oxygen vacancies, hydroxide groups, etc.) in metal oxides can
change the potential energy and configuration of the lattice.
Knowledge of the distortion created by these defects can,
therefore, play a crucial part in optimizing the material’s
properties and catalytic reactivity. One of the most relevant and
extensible approaches to modelling point defects in metal
oxides is density functional theory (DFT). This quantum
mechanical approach allows the description of a many-body
electronic ground state in terms of single-particle equations,
providing accurate information about defect formation
energies and electrochemical properties, and yielding valuable
insights into the crucial ground state mechanisms of chemical
reactions.14
Experimental studies on defect-laden In2O3-x(OH)y nanoparticles
demonstrated photocatalytic CO2 reduction by H2 at
temperatures as low as 150 °C using both ultraviolet and visible
light.20 The exact role of [O]v and OH defects, and the
mechanism responsible for gas phase CO2 reduction in the
presence of light and temperature, can be unveiled using proper
computational modelling designs. Periodic slab models of In2O3
with no defects, In2O3-x with only [O]v defects, In2O3-x(OH)y with
only OH defects and In2O3-x(OH)y with both defect types were
used to represent the pristine and defected indium oxide
surfaces. An exhaustive set of DFT simulations then analysed
the interactions of each surface with CO2 and H2 molecules,
resulting in the identification of a catalytically active SFLP site
formed by proximal In (Lewis-acidic) and In-OH (Lewis-basic)
moieties on the metal oxide surface, Figure 4a-b.
To clarify the behaviour of these active sites in the presence of
light and heat, thus mimicking the real photocatalytic condition,
sophisticated linear response time-dependent DFT (LR-TDDFT)
and meta-dynamics calculations can be used respectively.35,36
Unlike standard DFT, the TDDFT approach is currently incapable
of dealing with large numbers (i.e., hundreds) of atoms. Cluster
models were thus used as an alternative to the computationally
expensive periodic slab calculations typically used to study
surfaces and processes mentioned earlier. Cluster models are
based on the high degree of localization of the perturbation
caused by the existing point defects in the lattice. A
representative defect and its close surrounding were selected
to create the cluster model. Further, a sufficiently large size of
the vacuum layer in the cell was implemented to avoid the
cluster-cluster interaction that causes artefacts via the
interactions of overlapping wave functions. To represent the
surfaces, “saturators” should be used in order to deal with the
dangling bonds of the surface atoms, which have a negative
Figure 3. a) SEM images and b) EDX mapping of evenly coated In2O3-x(OH)y/SiNW hybrid films; c) Schematic illustration of the effect of nanostructuring on the film’s interaction with incident light. Blue arrows represent incident solar irradiation and the red shading for the evenly coated and bilayer In2O3-x(OH)y/SiNW films illustrates photothermal heat generation;31 d) STEM image and EFTEM elemental (In) mapping of In2O3-x(OH)y/Nb2O5; e) Illustration of the synthesis of In2O3-x(OH)y nanocrystals grown on the surface of Nb2O5 nanorods.34 Reprinted with permission from Refs 31 and 34. Copyright 2016 American Chemical Society and 2019 Wiley.
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effect on the entire model. Hydrogens are commonly used as
saturators, as they act as both an electron supplier and logical
terminator capable of reducing such adverse effects.
For instance, cluster models representing pristine and defected
In2O3 surfaces were thoroughly tested by probing the
convergence of their optical properties with those calculated
from standard periodic models and experiments. These cluster
models were then utilized to identify the detailed excited-state
properties of pristine and defected In2O3 surfaces, which
extended understanding of the enhanced CO2 reduction rate for
defected In2O3-x(OH)y in the light relative to the dark. In
particular, it was found that the SFLP in In2O3-x(OH)y tends to
trap photoexcited electrons and holes at its Lewis-acidic In and
Lewis-basic OH sites, thereby enhancing the respective hydridic
and protonic character of these excited SFLP moieties and their
reactivity towards CO2, relative to the ground state, Figure 4d. 35
To elucidate the role of elevated temperatures (e.g., 180 °C) in
photocatalyst’s activity, an in-depth temperature-dependent
(20 °C versus 180 °C) computational study was conducted on the
defected In2O3-x(OH)y system via well-tempered meta-
dynamics-biased AIMD simulations.36 First, ab initio molecular
dynamics (AIMD) was performed on the Born-Oppenheimer
surface and then implemented a meta-dynamics approach that
applied a periodic bias to the system to encourage efficient,
self-avoiding exploration of the free-energy landscape. This
work suggested that the SFLP site was structurally altered under
high-temperature conditions, providing the means to break the
CO2 reduction reaction into two less-energetic steps with
slightly reduced reaction barriers.
Overall, the detailed electronic level information obtained at
ground state, excited state and at various temperatures can
provide much-needed guidance in the selection of elemental
composition, materials design and surface structural
engineering, thereby enabling the discovery of next-generation
gas-phase CO2-reduction photocatalysts. These computational
modelling results, together with validation from experimental
studies, can lead to valuable insights to further enhance the
activity of the metal oxide photocatalyst via different material
engineering methods mentioned in the previous section.
Photoreactor Design, Modelling, and Photocatalyst Testing
Photoreactor design plays an important role in all stages of
photocatalysis studies, from photocatalyst screening and
kinetic studies to high-performance demonstrators for
industrial scale-up. Thus, achieving high photonic and energy
efficiencies in catalytic CO2 hydrogenation is not only a
formidable materials science challenge, but also a demanding
engineering task that requires a detailed understanding of the
relevant transport processes.37
The CO2-reduction activity of promising new photocatalysts is
usually screened in simple reactor geometries under batch or
flow conditions, with the aim of limiting light and thermal
gradients to allow comparisons of different catalysts under
variable wavelength, illumination intensity, temperature,
pressure, and/or gas flow rates. Commonly used illumination
sources include solar simulators, Xe lamps with filters, LED light
sources, and lasers. Batch reactions are typically performed in a
Figure 4. a) Scheme of SFLP in In2O3-x(OH)y;35 b) Side view of bixbyite In2O3 supercell with (111) orientation and the upper surface structure of (111) terminated In2O3;14 c) Overall proposed mechanism for the CO2 + H2 → CO + H2O reaction on In2O3-x(OH)y;35 d) Schematic illustration of the origin of the difference in the experimental activation energy (ΔEa) for the RWGS reaction CO2 + H2 → CO + H2O involving the ground state SFLP in the dark and excited state SFLP in the light.35
Reprinted with permission from ref 14 and ref 35. Copyright 2015 Royal Society of Chemistry and 2016 American Chemical Society.
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pressurized reactor vessel with an optically transparent window
and externally heat controller to control sample temperature.
Samples are dispersed as a thin powder layer onto a flat
substrate, such as quartz filter paper, and then placed into the
reactor. In contrast, flow reactor testing is commonly
performed using a packed bed/pellet of the catalyst powder in
tubular quartz capillaries, followed later by testing in reactors
with more well-defined conditions for catalyst characterization,
such as a thin-slit reactor or a Harrick cell.
While working with a well-defined reactor system is an
important starting point, comparing production rates on
different photocatalysts studied in different reactors and by
different research groups remains a challenge due to the lack of
widely-adopted standardized reactor operating conditions (e.g.,
illumination intensity and spectral distribution of light source),
incomplete reporting of reactor operating conditions, different
conventions used in normalizing production rates, and a lack of
reference calibrations.38
At a minimum, best practices in conducting photocatalyst
testing and reporting rates should be adopted. These include:
1) validation of new photoreactors with a known reference
catalyst; 2) pre-reaction cleaning of the catalyst to minimize
surface adsorbed organic contamination, coupled with 13C-
labelled CO2 reaction testing to verify the origins of the product
carbon species; 3) estimation of the photon penetration depth
for the catalyst sample and measuring potential temperature
gradient across the sample by making reactor modifications to
accommodate multiple temperature measurements, so that
photochemical and photothermal rate contributions may be
decoupled; and 4) normalization of reported rates over the
illuminated specific surface area, and reporting a
photochemical and photothermal turnover frequency where
appropriate, in preference to mass normalized rate.
Simulation studies on the transport processes of heat, mass,
momentum, and radiation within photoreactors at length scales
from nanometres (catalyst particles) to meters (the reactor) can
help guide optimization of photoreactor performance. One
approach is to use simple continuum Monte Carlo ray-tracing
(MCRT) methods coupled with finite element methods
(FEMs).39,40 Effects of continuum substructures (catalyst
structure) are also considered in such continuum models using
appropriately chosen physical parameters (scattering and
absorption coefficients, etc.).
According to 2D MCRT/FEM simulation results on three typical
reactor designs in Figure 5, fixed-bed capillary reactors
irradiated from one side showed large gradients in their
absorption intensity fields, Figure 5a-b. However, significant
improvement could be achieved using thin-slit reactors, as
evidenced by their highly uniform optical absorption intensity
fields, Figure 5c. Likewise, better insulation and improved
thermal contact of the catalyst with the heating block
effectively homogenized the temperature field. Nevertheless,
all reactors exhibited reduced optical absorption due to
reflective losses at phase boundaries, absorption by reactor
components, and light scattering from the catalyst. Thus,
mitigating these losses would require minimizing phase
boundaries and using reflective reactor components to redirect
light toward the catalyst, thereby emphasizing the importance
of the reactor/catalyst geometry and alignment. One strategy
to meet this demand is through integration of proper
noncatalytic photocatalyst supports into the system.
Photoreactor and Support Archetypes
Within a photoreactor, photocatalysts can be immobilized onto
non-catalytic supports whose individual geometry and material
properties can be controlled to affect photon absorption,
thermal conductivity, surface adsorption, charge transfer, and
other catalyst properties that affect production rate and selectivity.
For example, thermally conductive materials such as Al have
been chosen for efficient heat transfer where additional
Figure 5. Cross-sections showing simulated optical absorption and temperature fields for two tubular designs similar to those used for catalyst testing of In2O3-
x(OH)y systems (a and b) and one thin slit design for catalyst testing under well-defined conditions currently under development (c). Reactor designs include transparent “windows” (light blue), metallic bodies (light grey), photocatalysts (yellow), external heating element (dark grey).
Figure 6. Continuum of macro porous catalyst supports for effective mass and light transport from regular to random geometry. a) Channels of square geometry for a monolith structure, with catalyst powder deposited in channels or coated on channel walls, with scattering waveguide illuminating surface. Alternately, film coated directly onto a waveguide and placed in channels, b) Interconnected random network of pores (reticulated) coated with film of
catalyst, illuminated either centrally or externally through a solar
concentrator.
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thermal energy is supplied to the reaction.41 Also, as a reflective
support, Al can increase the absorption of photons in the
photocatalyst layer.
When considering reactor scale-up, optimizing the light
distribution and gas-catalyst contact while keeping the reactor
footprint low requires photocatalyst immobilization onto
macroscopic supports that offer a high surface area to reactor
volume ratio. Packing structures of a regular geometry
(monoliths) and random geometry (reticulated foams) have
been shown to improve mass transfer and process energy
efficiencies by up to an order of magnitude in conventional
thermochemical processes.42 Planar photoreactors may
themselves be miniaturized and micro-structured
(“microreactors”) to reduce the length scale for heat transfer
and light transport to (and from) the catalytically active sites.
Beyond the improvements in external heat and mass transfer
efficiencies over randomly packed beds (Figure 6), such
structures allow improved light penetration, and can also be
coupled with optical fibres, which overcome efficiency losses
usually associated with under-absorption of the catalyst sub-
surface layer.43
For instance, quartz waveguide rod supports were used to
maximize optical absorption by In2O3-x(OH)y via internal
reflection, with red (732 nm) to green (535 nm) lasers being
readily propagated, Figure 7a-c.44 Diffuse transmittance
measurements, Figure 7e, revealed that the catalyst coating
increased visible light side scattering by ~21% versus an
uncoated quartz rod. This waveguide behaviour allowed more
efficient light absorption by defect states extending from the
conduction and valence band edges of In2O3-x(OH)y. The CO
production rates on a coated waveguide were significantly
higher (by factors of 8.7 and 8.1, respectively) than a similarly
coated planar substrate when UV or green cut-off filters were
used to reject wavelengths shorter than 500 nm or 620 nm. The
advantage of using optical fibre waveguides is the efficient
packing of optical support-catalyst within a reactor volume. This
maximizes catalytic film surface area, while utilizing the gaps
between fibres as narrow gas flow channels.
Additionally, commercial Ni and Cu metal foams were used as
porous supports to maximize the catalyst loading and surface
area-to-volume ratio of In2O3-x(OH)y while also increasing light
penetration and contact with reactant gases.45 CO production
rates were optimized by systematically tuning foam porosity,
surface roughness, reactant gas velocity, and reaction
temperature. In2O3-x(OH)y on nickel foams exhibited greater
redox stability and higher CO production rates than In2O3-x(OH)y
on copper foams. Elsewhere, it was found that when using
In2O3-x(OH)y deposited on an oxidized nickel foam, a superior CO
production rate was observed. Under solar illumination of 247
mW/cm2, the CO production rates of In2O3-x(OH)y on the
oxidized nickel foam were 1.3 times higher than under dark.
Potential of Photocatalytic Processes
The engineering challenges facing photocatalytic CO2
hydrogenation are not limited to photocatalyst and reactor
Figure 7. a-c) Waveguide behaviour of In2O3-x(OH)y -coated quartz rod supports, the wavelength of light used were 405 nm, 532 nm and 645 nm.44 d) Integrating sphere setup for quantifying optical leakage by coated waveguides. e) Transmittance spectra of coated and uncoated waveguides, with and without an aluminium foil end cap.44
Figure 8. Five important interdependent factors influencing the implementa-tion potential of a photocatalytic process.
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development. When considering the potential implementation
of a photocatalytic reaction at industrial scale, the entire
process chain, including upstream and downstream unit
operations, must be compared with other process designs (e.g.,
conventional thermal, electrochemical, or photo-
electrochemical processes). A multitude of interdependent
factors influence the outcome of this comparison, as shown in
Figure 8, which will be briefly introduced in this section.
Economics and Overall Efficiency
Even the visionary among us must admit that investors expect a
return on their capital investment; in other words, the product
value must exceed the process costs. While the product value is
determined by the dynamics of the target market, the process
costs are inevitably related to the use of available resources. To
ensure economic feasibility, all resources must therefore be
used efficiently, and the assessment and optimization of
efficiencies in all process subsystems becomes indispensable.
Unsurprisingly, in most energy applications the efficient use of
the employed energy resources is of utmost importance.
An exact definition of an energy efficiency metric that is
applicable to a broad variety of processes – and which would
facilitate a fair comparison – is difficult for several reasons. One
reason is that the significance of different forms of energy (e.g.,
chemical, thermal, mechanical, electrical, radiative) varies
across process designs. Further complicating matters is the fact
that, fundamentally, different forms of energy have different
thermodynamic and economic value. A given amount of
thermal energy (at, for instance, 100 °C) is of lower value than
an exact same amount of electrical energy. This is because
thermal energy can execute less thermodynamic work than
electrical energy. One best-practice approach enabling the
calculation of efficiencies while considering the thermodynamic
value of different forms of energy, thereby linking the use of
resources to the economic costs of process steps, is the concept
of exergy.46 Exergy is defined as the maximum useful work that
can be extracted from a system when it comes in
thermodynamic equilibrium with its environment.
Another, more-technical difficulty in assessing energy
efficiencies of processes is that the overall and subsystem
efficiencies and other process performance metrics are
interdependent. A reactor with low conversion, for instance,
will entail a large energy demand in subsequent product
purification steps. Therefore, complex, and often non-linear,
process models are needed to assess the overall efficiency of a
process in advance. Aspen® or MATLAB Simulink® are
commercial tools providing a framework for such modelling.47
Despite the challenges in comparing different forms of energy,
researchers and engineers in the field of energy applications
often use simplified process energy efficiencies, 𝜼 , as shown
in Equation (1). Of course, such efficiency definitions do not take
account of the different thermodynamic or economic values of
different forms of energy.
The numerator represents the sum of useful energy outputs. It
comprises the sum of energy contained in the products (given
by the sum of the products of mass streams �̇�𝒊 and higher
heating values 𝑯𝑯𝑽𝒊 of products 𝒊), and the energy of useful
extracted energy streams �̇�̇𝒋. This can be, for instance, heat flux
at elevated temperature. The denominator is the sum of all
energy inputs. It comprises the energy added to the process via
chemical energy of the reactants (represented by sum of the
products of mass streams �̇�𝒌 and higher heating values 𝑯𝑯𝑽𝒌
of all reactants 𝒌 ) and other energy streams �̇�𝒍 , such as a
photon or heat flux, or electrical energy.
If solar energy was the only energy input and there was only one
useful extracted energy stream (e.g. chemical energy in the
form of hydrogen in an exemplary case of water splitting), the
energy efficiency in equation (1) would be called solar-to-
hydrogen efficiency, which is a commonly reported efficiency
metric in the field of solar fuels.
Exemplary Aspects in Assessments of Photocatalytic CO2
Hydrogenation Processes and Process Steps
By analogy to the overall energy efficiency, energy efficiencies
for process steps can also be defined. Unsurprisingly, the solar-
to-product or solar-to-fuel efficiency ( 𝜼𝑺𝑻𝑿 ) of the synthesis
step is the crucial parameter in assessing photocatalytic CO2
hydrogenation processes.47 𝜼𝑺𝑻𝑿 is defined by the photonic
efficiencies of solar light collection and transport in the
photoreactor, and the intrinsic photon efficiency of the
photocatalyst employed. The experimental and/or theoretical
assessment of the photon transport efficiency of a photoreactor
including the light collector is non-trivial. Possible approaches
include chemical actinometry following recommended
protocols from IUPAC supplemented with optical simulations.
Reactor design, in particular the geometry of light
concentration and/or guiding elements, drastically influences
photon transport efficiency in a photoreactor. Further
complications are the interdependencies between photon
absorption efficiency of a reactor/catalyst combination and
radiation transport properties of the employed photocatalyst
systems.
The determination of the intrinsic photon efficiency of the
employed photocatalyst is no less challenging than the
assessment of photon transport efficiencies. State-of-the-art
methods applied in heterogeneous catalysis to quantitatively
determine kinetic properties, such as rate constants of a given
catalyst, are not applicable in photocatalysis.48 This is due to the
dependence of the photochemical rate constant on quantum
yield, incident light intensity, and light transport properties,
which must be taken into account alongside the “traditional”
thermodynamic state variables of temperature and pressure.
One method that may reveal information on the intrinsic
photon efficiency of photo catalyst systems is photocurrent
measurements. Photocurrent measurements provide insight
into charge accumulation/recombination in an illuminated
photo catalyst and further indicate reactivity with chemical
precursor species.[29,35,54] Some of the best practices associated
with photocurrent measurements are: 1) a “sanity check” that 𝜼 =
∑ �̇�𝒊𝑯𝑯𝑽𝒊𝒊 𝝐 𝑷𝒓𝒐𝒅𝒖𝒄𝒕𝒔 + ∑ �̇�𝒋𝒋 𝝐 𝑶𝒖𝒕𝒑𝒖𝒕
∑ �̇�𝒌𝑯𝑯𝑽𝒌𝒌 𝝐 𝑹𝒆𝒂𝒄𝒕𝒂𝒏𝒕𝒔 + ∑ 𝑬𝒍𝒍 𝝐 𝑰𝒏𝒑𝒖𝒕 (1)
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the measured photocurrents are not above the integral of the
absorptance and the solar spectrum; 2) considering the
conversion efficiency from photons to thermalized charge
carriers by including the optical losses of unabsorbed photons
and the reduction in energy of the absorbed photons, as well as
electrical contact losses; 3) evaluating the fill factor using a
circuit model and an accompanying impedance spectroscopy
measurement to separate resistive and capacitive behaviour;
and 4) localizing charge-carrier behaviour with a geometric
diffusion-recombination model that profiles the illumination
absorption depth, carrier concentrations, and trap state
distribution under steady-state conditions.
To simplify, the apparent quantum yield or photonic efficiency
(𝜻𝒑) has been introduced as a metric to determine the efficiency
of a given photocatalyst:
𝜻𝒑(𝝀) = 𝒓𝒂𝒕𝒆/𝑰𝟎(𝝀), (2)
where 𝝀 is the wavelength of the incident light and 𝑰𝟎
represents the light intensity arriving at the inside of a flat front
window of the photoreactor. The photonic efficiencies of
different experiments and laboratories are, however, only
comparable if an identical amount of light has been absorbed in
each experiment. Due to the wide range of photoreactors used
in different research laboratories, this is unlikely. Standardized
testing methods based on, for instance, ISO oxidations of NOx
(ISO 22197-1:2016) or acetaldehyde (ISO 22197-2:2011) have
therefore been developed and should be applied to determine
apparent quantum yields. Rigorous experimental protocols and
thorough characterization of the employed photocatalysts,
photoreactors, and light sources are instrumental to ensure
accurate and reproducible results.
The photoreactor system represents the core element of a
photocatalytic CO2 conversion process. However, CO2 capture is
another important step that must be considered during the
assessment of the process. Since CO2 capture from emission
streams or from atmosphere, as well as the transportation of
CO2, are crucial and energy-intensive steps in CO2
hydrogenation processes, their influence on the overall
efficiency metric deserves a detailed assessment. A multitude
of adsorption and absorption processes designed for different
CO2 sources, including flue gas streams and the atmosphere, are
available.49 Special attention should be paid to the possibility of
integrating waste heat streams from process subsystems to
cover the significant low-temperature heat demand of most
CO2 capture processes. At the same time, the cost of CO2
requires smart process engineering of the subsequent synthesis
steps to convert as much of the captured CO2 into products as
possible. Using multiple passes of the gas stream over the
catalyst might address incomplete conversion if one-pass
conversion is not satisfactory. However, such a recycle will again
entail an energetic cost that must be considered.3,47
Another important aspect in the assessment of photocatalytic
processes is the land area, which is required to harvest sunlight.
Land area dedicated exclusively for solar processes significantly
impacts process economics and is directly linked to 𝜼𝑺𝑻𝑿 of the
synthesis step: when 𝜼𝑺𝑻𝑿 is low, then a large area of land is
required to supply the photons for the photocatalytic reaction,
and vice versa. If implemented in world-scale production
facilities, and even if 𝜼𝑺𝑻𝑿 is high, land use will remain one of
the major drawbacks of all solar energy technologies including
photovoltaic and biomass-based approaches, as they all require
either a direct or indirect sunlight harvesting process step.
However, there are futuristic concepts avoiding, or at least
reducing, the need for additional land utilization. For example,
a retrofitting of existing infrastructures has been proposed,
including buildings equipped with photovoltaic panels, fully
autonomous units for extracting CO2 from ventilation air
streams, and the on-site conversion to green fuel precursors.50
A tool that connects all the different aspects discussed above is
the techno-economic assessment (TEA). TEAs based on detailed
process modelling may reveal bottlenecks in process designs by
allocating economic costs to each process step. For example,
TEAs of different solar methanol process designs have revealed
that, if the overall photon efficiency is low, the major cost-
driving factor in a combined electro- and photochemical
methanol synthesis plant is the photoreactor-catalyst
combination.3 In encouraging contrast to the economic metrics
cited for solar methanol, TEAs of photocatalytic hydrogen
processes suggest that cost-competitive hydrogen production
can be achieved simply via photoelectrochemical water splitting
in low-cost plastic baggie reactors filled with photocatalyst
slurry.51
At this point, it is important to address how thresholds must be
met regarding crucial process parameters, such as the overall
energy efficiency, so that a photocatalytic production process
could compete with established fossil resource-based
production. Exemplary values can often be extracted from the
literature; for instance, at 10% solar-to-hydrogen efficiency for
water splitting (using the above-mentioned low-cost baggie
reactors) may yield cost-competitive hydrogen51. From a
broader perspective, this question is more difficult to address,
as the answer depends strongly on the boundary conditions
chosen for the TEA. Such boundary conditions are highly
dependent on the existing political framework, including the
implementation of CO2 taxes, the local availability of resources
such as average solar irradiance and CO2 sources, and the locally
and globally achievable revenues. A photocatalytic process with
limited solar-to-product efficiency may be feasible in a sunlight-
rich area with numerous local consumers, whereas another
area with lower solar irradiance and inexpensive CO2 sources
may see non-solar conversion processes as economically
preferable.
Further complication arises because TEAs for photocatalytic
processes must estimate prices for non-commercial
components that are currently under development. Prototype
photoreactors and concentrating optics are currently still
expensive, and their application entails a higher cost for solar
chemicals and fuels. Fortunately, though, mass production of
these process components could soon be established, resulting
in decreased component costs and improved process
economics. This demonstrates that the TEA is, therefore, also
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dependent on assumptions made regarding the economy of
scale and the future component-development costs.
In addition to economic aspects, the greenhouse gas (GHG)
reduction potential can be an important process selection
criterion. To accurately assess the GHG reduction potential of a
photocatalytic CO2 conversion process, the GHG footprint of
reactants (CO2, H2O), installations (process unit operations) and
products in a global network of supply chains and consumers
must be considered. Lifecycle assessment (LCA) is a tool
commonly used to perform these analyses. Standardized LCA
procedures and guidelines have been developed, in particular
ISO 14040 and ISO 14044. During the design phase of an LCA
study, special attention should be devoted to the definition of
scope and a careful selection of system boundaries.
Inconsistencies should be avoided within a given study and
when comparing the environmental impacts of competing
processes to inform unbiased and rationally guided decisions.
Imperatively, in the perspective of a state of global climate
emergency the worlds resources should be invested into
technologies which, for a given effort, promise the highest GHG
emission reduction potential.
Although photocatalytic CO2 conversion processes are not yet
cost competitive with fossil-driven production, they certainly
are among the hot candidates to meet demands of a global
society of environmentally conscious consumers.
Conclusions
The development of different kinds of renewable-energy-
powered CO2 refineries stands to help curb greenhouse gas
emissions over the next decade and play an important role in
ameliorating climate change. To realize this utopian vision of a
sustainable future, the discovery and optimization of highly
active, selective and stable CO2 photocatalysts is imperative.
Catalytic metal oxides are capable of filling diverse roles in solid-
state chemistry, physics and engineering, as well as being
employed in the production of many industrial products,
processes and devices. This prevalence of metal oxides is
traceable to their myriad compositions, structures and forms,
variations of which bestow upon their versatile properties,
functionality and utility.
As has been discussed in this Tutorial Review, even greater
variation in the properties of metal oxides can be achieved by
modifying their stoichiometry via doping, isomorphic
substitution, aliovalent modifications and non-stoichiometry, as
well as by introducing nanostructures, heterostructures,
superstructures, support materials and polymorphism. This
strategy exemplified by indium oxide in its various guises has
furthered the understanding of gas-phase heterogeneous CO2
photocatalysis while facilitating advancements in innovative
photocatalyst discovery and engineering. The development of
novel photoreactor designs has enabled more accurate
performance testing of metal oxide photocatalysts while
providing the groundwork for the up-scaling and future
industrialization of CO2 photocatalysis. These advancements
could well lead to future implementation of solar refineries for
the manufacture of eco-friendly chemicals, pharmaceuticals,
polymers, materials, and fuels from recycled CO2, thereby
toward combating climate change.
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
G.A.O. is a Government of Tier 1 Canada Research Chair in
Materials Chemistry, Nanochemistry and Solar Fuels. Financial
support for this work was provided by the Ontario Ministry of
Research Innovation (MRI); Ministry of Economic Development,
Employment and Infrastructure (MEDI); Ministry of the
Environment and Climate Change (MOECC); Ministry of
Research, Innovation and Science (MRIS); Connaught
Innovation Fund; Connaught Global Challenge Fund; Best in
Science (University of Toronto) and the Natural Sciences and
Engineering Research Council of Canada (NSERC). L.H. received
a Postdoctoral Fellowship SECITI (066/2017), P.D. was awarded
an NSERC Postdoctoral Fellowship and U.U. won an Alexander
von Humboldt Postdoctoral Fellowship.
Author contributions
Y.D., P.D., L.W., A.J. and A.A.T. wrote the Engineering of Metal
Oxide Materials section; K.K.G. wrote the Computational
Modelling section; A.M., P.D., U.U., J.Y.Y.L., P.K. and R.D. wrote
the Photoreactor Design, Modelling, and Photocatalyst Testing
section. P.K., U.U. and R.D. wrote the Potential of Photocatalytic
Processes section. Y.D. and G.A.O. wrote the Introduction and
Conclusion sections. Y.D. coordinated the cooperation of all co-
authors and synthesized the final draft. P.D. proofread the draft
and assisted in the coordination. A.M. and M.X. assisted in the
graphic design. G.A.O. supervised this project and approved the
final manuscript. All authors participated in discussions and
revisions of the draft together.
Notes and references
‡ This paper is dedicated to the 77th Birthday of Professor Geoffrey Ozin 1 M. Hulme. Weather, 2009, 64, 121. 2 A. Fujishima, T. N. Rao, D. A. Tryk, J. Photochem. Photobiol. C,
2000, 1, 1. 3 A. A. Tountas, X. Peng, A. V. Tavasoli, P. N. Duchesne, T. L.
Dingle, Y. Dong, L. Hurtado, A. Mohan, W. Sun, U. Ulmer, L. Wang, T. E. Wood, C. T. Maravelias, M. M. Sain, G. A. Ozin, Adv. Sci., 2019, 6, 1801903.
4 S. Nitopi, E. Bertheussen, S. B. Scott, X. Liu, A. K. Engstfeld, S. Horch, B. Seger, I. E. L. Stephens, K. Chan, C. Hahn, J. K. Nørskov, T. F. Jaramillo, I. Chorkendorff, Chem. Rev., 2019, 119, 7610.
5 B. Zhang, L. Sun, Chem. Soc. Rev., 2019, 48, 2216
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6 J. L. White, M, F. Baruch, J, E. Pander III, Y, Hu, I. C. Fortmeyer, J. E. Park, T. Zhang, K. Liao, J. Gu, Y. Yan, T. W. Shaw, E. Abelev, A. B. Bocarsly, Chem. Rev., 2015, 115, 12888.
7 X. Chang, T. Wanga, J. Gong, Energy Environ. Sci., 2016, 9, 2177.
8 M. M. Khan, S. F. Adil, A. Al-Mayouf, J. Saudi Chem. Soc., 2015, 19, 462.
9 X. Pan, M. Q. Yang, X. Fu, N. Zhang, Y. J. Xu, Nanoscale, 2013, 5, 3601.
10 M. Ghoussoub, M. Xia, P. N. Duchesne, D. Segal, G. A. Ozin, Energy Environ. Sci., 2019, 12, 1122.
11 J. Nowotny, M. A. Alim, T. Bak, M. A. Idris, M. Ionescu, K. Prince, M. Z. Sahdan, K. Sopian, M. A. Mat Teridi, W. Sigmund, Chem. Soc. Rev., 2015, 44, 8424.
12 S. N. Habisreutinger, L. Schmidt-Mende, J. K. Stolarczyk, Angew. Chem. Int. Ed., 2013, 52, 7372.
13 L. B. Hoch, P. Szymanski, K. K. Ghuman, L. Hea, K. Liao, Q. Qiao, L. M. Reyes, Y. Zhu, M. A. El-Sayed, C. V. Singh, G. A. Ozin, Proc. Natl. Acad. Sci., 2016, 113, E8011.
14 K. K. Ghuman, T. E. Wood, L. B. Hoch, C. A. Mims, G. A. Ozin, C. V. Singh, Phys. Chem. Chem. Phys., 2015, 17, 14623.
15 K. K. Ghuman, L. B. Hoch, T. E. Wood, C. Mims, C. V. Singh, G. A. Ozin, ACS Catal., 2016, 6, 5764.
16 P. Ágoston, P. Erhart, A. Klein, K. Albe, J. Phys.: Condens. Matter, 2009, 21, 455801.
17 A. Walsh, Appl. Phys. Lett., 2011, 98, 261910. 18 W. S. Seo, H. H. Jo, K. Lee, J. T. Park, Adv. Mater., 2003, 15, 10,
795. 19 L. He, T. E. Wood, B. Wu, Y. Dong, L. B. Hoch, L. M. Reyes, D.
Wang, C. Kübel, C. Qian, J. Jia, K. Liao, P. G. O'Brien, A. Sandhel, J. Y. Y. Loh,; P. Szymanski, N. P. Kherani, T. C. Sum, C. A. Mims, G. A. Ozin, ACS Nano, 2016, 10, 5578.
20 L. B. Hoch, T. E. Wood, P. G. O'Brien, K. Liao, L. M. Reyes, C. A. Mims, G. A. Ozin, Adv. Sci., 2014, 1, 1400013.
21 L. B. Hoch, L. He, Q. Qiao, K. Liao, Reyes, M. L. Y. Zhu, G. Ozin, Chem. Mater., 2016, 28, 4160.
22 L. Wang, T. Yan, R. Song, W. Sun, Y. Dong, J. Guo, Z. Zhang, X. Wang, G. A. Ozin, Angew. Chem. Int. Ed., 2019, 58, 9501.
23 O. Warschkow, D. E. Ellis, G. B. González, T. O. Mason, J. Am. Ceram. Soc., 2003, 86, 1700.
24 Y. Dong, K. K. Ghuman, R. Popescu, P. N. Duchesne, W. Zhou, J. Y. Y. Loh, A. A. Jelle, J. Jia, D. Wang, X. Mu, C. Kübel, L. Wang, L. He, M. Ghoussoub, Q. Wang, T. E. Wood, L. M. Reyes, P. Zhang, N. P. Kherani, C. V. Singh, G. A. Ozin, Adv. Sci., 2018, 5, 1700732.
25 A. Dhakshinamoorthy, S. Navaon, A. Corma, H. Garcia, Energy Environ. Sci., 2012, 5, 9217.
26 S. Zh. Karazhanov, P. Ravindran, P. Vajeeston, A. Ulyashin, T. G. Finstad, H. Fjellvåg, Phys. Rev. B. 2007, 76, 075129.
27 T. Yan, L. Wang, Y. Liang, M. Makaremi, T. E. Wood, Y. Dai, B. Huang, A. A. Jelle, Y. Dong, G. A. Ozin, Nat. Commun., 2019, 10, 2521.
28 X. B. Chen, L. Liu, P. Y. Yu, S. S. Mao, Science, 2011, 331, 746. 29 L. Wang, Y. Dong, T. Yan, Z. Hu, A. A. Jelle, D. M. Meira, P. N.
Duchesne, J. Y. Y. Loh, C. Qiu, E. E. Storey, Y. F. Xu, W. Sun, N. P. Kherani, A. S. Helmy, G. A. Ozin, 2020, Nat. Commun., (10.1038/s41467-020-16336)
30 P. G. O’Brien, A. Sandhel, T. E. Wood, A. A. Jelle, L. B. Hoch, D. D. Perovic, C. A. Mims, G. A. Ozin, Adv. Sci., 2014, 1, 1400001
31 L. B. Hoch, P. G. O’Brien, A. Jelle, A. Sandhel, D. D. Perovic, C. A. Mims, G. A. Ozin, ACS Nano, 2016, 10, 9017.
32 Martin, O.; Martín, A. J.; Mondelli, C.; Mitchell, S.; T. F. Segawa, R. Hauert, C. Drouilly, D. Curulla-Ferré, J. Pérez-Ramírez, Angew. Chemie Int. Ed. 2016, 55, 6261.
33 A. Tsoukalou, P. M. Abdala, D. Stoian, X. Huang, M.G. Willinger, A. Fedorov, C. R. Müller, J. Am. Chem. Soc., 2019, 141, 13497.
34 H. Wang, J. Jia, L. Wang, K. Butler, R. Song, G. Casillas, L. He, N. P. Kherani, D. D. Perovic, L. Jing, A. Walsh, R. Dittmeyer, G. A. Ozin, Adv. Sci., 2019, 6, 1902170.
35 K. K. Ghuman, L. B. Hoch, P. Szymanski, J. Y. Y. Loh, N. P. Kherani, M. A. El-Sayed, G. A. Ozin, C. V. Singh, J. Am. Chem. Soc., 2016, 138, 1206.
36 M. Ghoussoub, S. Yadav, K. K. Ghuman, G. A. Ozin, C. V. Singh, ACS Catal., 2016, 6, 7109.
37 A. E. Cassano, C. A. Martin, R. J. Brandi, O. M. Alfano, Ind. Eng. Chem. Res., 1995, 34, 2155.
38 M. Melchionna, P. Fornasiero, ACS Catal., 2020, 10, 5493. 39 M. Hoes, S. Ackermann, D. Theiler, P. Furler, A. Steinfeld,
Energy Technol., 2019, 7, 1900484. 40 F. J. Rivas, A. Hidalgo, R. R. Solís, M. Tierno, Int. J. Environ. Sci.
Technol., 2019, 16, 6705. 41 A. Mohan, U. Ulmer, L. Hurtado, J. Y. Y. Loh, F. Y. Li, A. Tountas,
C. Krevert, C. Chakyu, L. Yilei, P. Brodersen, G. A. Ozin, 2020, to be submitted.
42 J. Gascon, J. R. van Ommen, J. A. Moulijn, F. Kapteijn, Catal. Sci. Technol., 2015, 5, 807.
43 P. Liou, S. Chen, J. C. S. Wu, D. Liu, S. Mackintosh, M. Maroto-Valerb, R. Linforthc, Energy Environ. Sci., 2011,4, 1487.
44 J. Y. Y. Loh, A. Mohan, N. P. Kherani, G. A. Ozin, 2020, to be submitted.
45 L. Hurtado, M. Abhinav,; U. Ulmer,; R. Natividad,; A. Tountas,; W. Sun,; L. Wang,; M. Sain,; G. Ozin, 2020, to be submitted.
46 M. A. Lozano, A. Valero, Energy, 1993, 18, 939. 47 J. A. Herron, C. T. MaraveliaHerron, Energy Technol., 2016, 4,
1369. 48 H. Kisch, D. Bahnemann, J. Phys. Chem. Lett., 2015, 6, 10,
1907. 49 M. E. Boot-Handford, J. C. Abanades, E. J. Anthony, M. J. Blunt,
S. Brandani, N. Mac Dowell,a J. R. Fernandez, M.-C. Ferrari, R. Gross, J. P. Hallett, R. S. Haszeldine, P. Heptonstall, A. Lyngfelt, Z. Makuch, E. Mangano, R. T. J. Porter, M. Pourkashanian, G. T. Rochelle, N. Shah, J. G. Yao, P. S. Fennell, Energy Environ. Sci., 2014, 7, 130.
50 R. Dittmeyer, M. Klumpp, P. Kant, G. Ozin, Nat. Comm., 2019, 10, 1818.
51 B. A. Pinaud, J. D. Benck, L. C. Seitz, A. J. Forman, Z. Chen,T. G. Deutsch, B. D. James, K. N. Baum, G. N. Baum, S. Ardo, H. Wang, E. Millere, T. F. Jaramillo, Energy Environ. Sci., 2013, 6, 1983.
52 Y.Qi, L. Song, S. Ouyang, X. Liang, S. Ning, Q. Zhang, J. Ye, Adv. Mater., 2020, 32, 1903915.
53 K. Feng, S. Wang, D. Zhang, L. Wang, Y. Yu, K. Feng, Z. Li, Z. Zhu, C. Li, M. Cai, Z. Wu, N. Kong, B. Yan, J. Zhong, X. Zhang, G. A. Ozin, L. He, Adv. Mater., 2020, 32, 2000014.
54 F. Fabregat-Santiago, G. Garcia-Belmonte, I. Mora-Seró, J. Bisquert, Phys. Chem. Chem. Phys., 2011, 13, 9083.
Tutorial Review Chem Soc Rev
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TOC Figure materials engineering, theoretical modelling, reactor engineering and process development of gas-phase photocatalytic CO2 reduction exemplified by indium oxide systems.