Open Access Article
Katherine J. Chou*a,
Yaset Acevedo
b,
Peter Agbo
c,
Alicia Bayon
d,
Alexander S. Beliaeve,
Haluk Beyenal
f,
Trevor Crofta,
Amgad Elgowainy
g,
Daniel V. Esposito
h,
Christoph Falteri,
David S. Ginleyj,
Sophia Haussener
k,
Shu Hu
lm,
Erik Koepfn,
Dhananjay Kumaro,
Alon Lidor
p,
Bruce E. Loganq,
Peter Loutzenhiserr,
Anurag S. Mandalika
s,
PinChing Manessa,
Gerald J. Meyert,
Graham J. Nathanu,
Ruggero Rossi
v,
Ellen B. Stechel
wx,
Eric R. Sundstrom
y,
Emily Warren
j,
Lynn M. Wendt
z,
CX Xiang
aa,
Anthony H. McDaniel
*ab and
Frances A. Houle
*c
aBiosciences Center, National Laboratory of the Rockies, Golden, CO 80401, USA. E-mail: katherine.chou@nlr.gov; amcdani1000@gmail.com
bStrategic Analysis, Inc., 4075 Wilson Blvd, Suite 200, Arlington, VA 22203, USA
cLawrence Berkeley National Laboratory, Chemical Sciences Division, 1 Cyclotron Road, Berkeley, CA 94720, USA. E-mail: fahoule@lbl.gov
dInstituto de Catálisis y Petroleoquímica (ICP), CSIC, Calle de Marie Curie, 2, Madrid, 28049, Spain
ePacific Northwest National Laboratory, Richland, WA 99354, USA
fVoiland College of Engineering and Architecture, Washington State University, Pullman, WA 99164, USA
gArgonne National Laboratory, Argonne, IL 60439, USA
hDepartment of Chemical Engineering, Columbia University, New York, NY 10027, USA
iSynhelion AG, Dufourstrasse 101, 8008 Zurich, Switzerland
jMaterials, Chemical, and Computational Science Directorate, National Laboratory of the Rockies, Golden, CO 80401, USA
kLaboratory of Renewable Energy Science, EPFL, 1015 Lausanne, Switzerland
lDepartment of Chemical and Environmental Engineering, School of Engineering and Applied Sciences, Yale University, New Haven, CT 06520, USA
mEnergy Sciences Institute, West Haven, CT 06516, USA
nDuPont Silicon Valley Technology Center, Sunnyvale, CA 94085, USA
oDepartment of Mechanical Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
pEnergy Conversion and Storage Systems Center, National Laboratory of the Rockies, Golden, CO 80401, USA
qDepartment of Civil & Environmental Engineering, Pennsylvania State University, University Park, PA 16802, USA
rGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0405, USA
sCenter for Energy Studies, Louisiana State University, Baton Rouge, LA 70803, USA
tDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
uSchool of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
vDepartment of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD 21210, USA
wSchool of Molecular Sciences Arizona State University, Tempe, AZ 85287, USA
xASU LightWorks®, Arizona State University, Tempe, AZ 85287, USA
yAdvanced Biofuel and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, USA
zIdaho National Laboratory, Idaho Falls, ID 83415, USA
aaDepartment of Applied Physics and Materials Science, California Institute of Technology, Pasadena, CA 91125, USA
abSandia National Laboratories, Livermore, CA 94550, USA
First published on 10th April 2026
Hydrogen is an essential fuel and feedstock that can be produced in multiple ways to meet requirements for technological sectors that include energy storage, transportation, petroleum refining, and ammonia synthesis. To consider the future state of hydrogen manufacturing, a team of experts has assembled and examined three emerging hydrogen production technologies – photoelectrochemical, biological, and thermochemical. Each of these emerging technologies holds significant long-term potential for cost reduction while lowering industrial emissions associated with conventional methods of hydrogen manufacture (e.g., steam methane reforming) by using sunlight and renewable resources as primary sources of energy and feedstock, respectively. All three are currently at low technology readiness levels, however their applications, cost reduction opportunities and performance improvement pathways are under active development. In this work, opportunities and outlook for research that can directly advance the technologies are discussed.
Broader contextHydrogen is both a commodity chemical and a fuel, where it offers an important alternative to carbon-based energy carriers. A variety of technologies can supply hydrogen at scale today, however advanced pathways – solar photoelectrochemical, biological, and solar thermochemical – are under development as long-term options that offer low pollution, low cost, and readily deployable alternatives. This article reports the outcomes of a meeting in which the three pathways were considered together, allowing their current state of the art and major technical opportunities and challenges to be compared. It is clear that there is no single pathway that is a best solution, rather the three present a suite of options for sustainable hydrogen generation that can be matched to diverse applications and geographic locations. Through their complementarity, the pathways provide future diversification and resilience to hydrogen production technologies. By advancing all three in parallel, there are significant opportunities for progress to be made through cross-cutting research and development that addresses challenges common to all. |
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| Fig. 1 Schematic of the H2@Scale hydrogen energy-centric ecosystem highlighting the production and utilization of H2 as a primary energy carrier (see ref. 2). | ||
The current landscape for H2 production predominantly relies on thermochemical processing of natural gas and coal, with steam methane reforming accounting for approximately 62% of this production globally in 20234 and the remaining balance up to 95% of global H2 production derived from coal. And while finite fossil reserves are adequate to meet foreseeable demand, it is unclear how H2 production capacity and chemical supply chains that are deeply integrated with petroleum refining and ammonia manufacture in the U.S. will adapt to a significant increase in demand from non-traditional end use. Critically missing is the necessary infrastructure required to transport H2 to far-away end points for utilization. To realize H2@Scale, a diverse and flexible energy generation portfolio as feedstocks for hydrogen generation is needed. Such a portfolio will improve energy security and access to affordable energy across various regions within the U.S. Production costs from these various domestic resources need to be <$2 kg−1 H2 in order to stimulate the demand envisioned by H2@Scale.3
Currently water electrolysis powered by grid-electricity is the leading alternative to traditional methane- and coal-based hydrogen production routes. Electrolysis is commercial or near commercial depending on technology type, be it a low- or high-temperature processing platform, and will be important to the near-term realization of H2@Scale even though costs at this time are greater than $6 kg−1 H2.5 However, future gigawatt-scale electrolyzer facilities powered by renewable electricity will require a significant expansion of renewable electricity generation and transmission infrastructure, as well as affordable energy storage technology, to achieve the high capacity factors and availability of low cost electricity needed to realize a <$2 kg−1 H2 price target. Concurrently, as the world continues to prioritize electrification of transportation and heating deemed necessary to achieve global emission reduction targets, the historically limited pace of renewable electricity deployments are better utilized powering these direct end-use needs as opposed to synthesizing fuels. In other words, the time required to achieve emission reduction targets is significantly shortened when direct end-use needs for electrification take precedence over fuel (i.e., H2) generation.6 Furthermore, due to the complexity of manufacturing electrolyzer devices and support systems, this commercial enterprise may never achieve the 10's – 100's of MW scaled stack-sized facilities required to realize cost reductions necessary to reach <$2 kg−1 H2 even if electricity prices drop below $0.03 kWh−1.7 Therefore, as part of a longer-term vision, we consider advanced pathways for H2 production that require little or no electricity input and also leverage the nation's diverse renewable resources and feedstocks. The two most promising renewable domestic resources capable of meeting future H2@Scale hydrogen demand are solar3 and biomass.8
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| Fig. 2 Schematic of three advanced pathways. (a) photoelectrochemical (PEC); (b) biological (BioH2); (c) thermochemical (TCH) Adapted with permission from the Electrochemical Society, ref. 9, Copyright 2021. Technology details are given in the text. | ||
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| Fig. 3 Types of photoelectrochemical water splitting devices or systems that do not co-generate O2 and H2, so are intrinsically safe. (a) integrated PEC systems with liquid electrolyte (left) and gas diffusion electrodes in a PV-E configuration (right), adapted with permission from ref. 17, copyright 2024, The Authors; (b) solar concentrators for PEC systems, adapted with permission from ref. 18, copyright 2024, The Authors; (c) photocatalytic particle system with redox mediator connecting the vessels, Adapted from ref. 14, with permission from the Royal Society of Chemistry. | ||
000 m−2 for III–V tandems23 and highly active, robust water oxidation catalysts (<300 mV overpotential at 10 mA cm−2)24 are needed to assess best-in-class designs. It is also essential that system designs ensure remanufacture and recyclability with minimal unwanted gas emissions and ecotoxicity over the system lifecycle.18 The diversity of configurations shown in Fig. 3 brings with it many combinations of STH efficiency/lifetime/capital expenditure (CAPEX) that can allow for a final cost of <$2 kg−1 H2. For example, an analysis has shown that this cost can be met for STH efficiencies >7% and lifetimes of 1–4 years for particle systems having particle costs between $105–1200 kg−1. To reach this same cost target of <$2 kg−1 H2, an integrated PEC system using concentrated sunlight will require an STH of >40% and will have significant trade-offs between materials costs, lifetime, and concentration ratio.25 A number of technoeconomic analyses (TEA) have been reported comparing PV-E systems to IPEC systems using diverse initial assumptions.11,17,26–29 PV-E is currently closest to the final cost target at $4–6 kg−1 H2, while fully integrated PEC without solar concentration is about $9–10 kg−1 H2.
| PEC (all configurations) | Photocatalytic particle | ||||
|---|---|---|---|---|---|
| Parameter | Units | State of the art | Ultimate targets | State of the art | Ultimate targets |
| a Ref. 22 system footprint 38.5 m2, light collection area 142.4 cm2, electrochemical area 50 cm2.b Ref. 33 total panel area 100 m2.c Ref. 34.d Ref. 20.e Ref. 17. | |||||
| STH efficiency | % | 5.5 (concentrated sunlight)a | 25 | 1 | 10 |
| H2 production | kg day−1 | 0.08a | 105 | 0.7b | 105 |
| Degradation | % change in current per 1000 hours | <5a | 2.5 | 20c | 2.5 |
| Useful lifetimed | years | 0.3a | 10 | 1300 hours | 5 |
| Cost | $ kg−1H2 | 4–9e | <2 | 12 | <2 |
Wired PV-E systems are the most mature type of PEC technology, and are most often based on Si PV cells.35,36 These systems are not electrolyzers driven by solar panels, rather they use photocurrents generated directly by a photovoltaic element, often multijunction to improve photovoltage.37 The most commonly explored electrolyzer designs for PV-E are polymer electrolyte membrane (PEM) electrolyzers based on membrane-electrode assemblies (MEAs) or alkaline electrolyzers. These are similar to conventional alkaline electrolyzers, for which the anode and cathode are fully immersed in an aqueous electrolyte and separated by a suitable ion exchange membrane or diaphragm divider. The highest performing PV-E system reported to date used high-efficiency III–V triple-junction solar cells operating with concentrated solar light (×42) wired to two series-connected polymer electrolyte membrane (PEM) electrolyzers using Pt and Ir catalysts to achieve high STH efficiency.37 The light absorbers are electrochemically and thermally decoupled from electrolytes during water splitting. The 30% STH efficiency reported in that work is consistent with low cost target for H2, and the operational stability shows a pathway to long-term on-sun diurnal operation. An assessment of whether this design could meet cost targets would be valuable. This system's efficiency outperforms others due to the coupling of the PV with two in-series electrolyzers that operate at low current density. The best performing PV-E system with Si-based solar cells achieves an initial STH efficiency of over 15%35 and this would push the STH to over 30% if connected with two in-series ECs instead of one.37 It should be noted that the 15% system is vapor-fed, simplifying the system and making it more cost-competitive.17 Overall, the development of these systems as an advanced pathway solution will track improvements in electrolyzer technology38 and PV technology.39
IPEC systems combine light absorption, charge separation, and electrochemical reactions in a single, integrated device to convert solar energy into chemical energy stored in H2 and O2 molecules. The light absorbers directly provide holes and electrons with the potentials required for water oxidation and H2 evolution, respectively.12,40 In all cases an electrical junction is required to direct photogenerated holes toward the anodic interface and photogenerated electrons to the cathodic interface. This junction was originally conceived to be at the semiconductor–electrolyte interface;41 however semiconductor photocorrosion led to integrated systems constructed using buried junctions and protection layers to separate the electrolyte from materials susceptible to such reactions.42 As in the PV-E case, numerous types of GDE-type and fully aqueous systems have been reported. The component integration sometimes requires explicit electrical wiring. The PV-integrated Membrane (PIM) assembly is another scheme for realizing fully-integrated, PEC devices. In this case, multi-junction PV cells are embedded in a Nafion membrane,43 with the membranes, catalysts, and PV cells integrated through direct ohmic contacts, resulting in a wireless, monolithic PEC assembly operating with vapor-fed water.44
Particle-based photocatalysts in aqueous electrolyte, usually in a colloidal suspension or immobilized on a panel in the form of a so-called “photocatalytic sheet” supported by a conducting substrate, offer the possibility of low-cost manufacture and assembly of scalable PEC reactors.33,45–47 The particles perform light absorption, charge separation, charge trapping or accumulation, and catalysis (often in conjunction with an inorganic co-catalyst). Compared to a colloidal suspension, the photocatalytic sheet system is dense and facilitates multiscale transport of charge carriers and molecular species through the semiconductor/cocatalyst/liquid interface.
Unlike the PV-E and IPEC systems, where photogenerated charge-induced reactions are separated by micrometers to millimeters, the reduction and oxidation sites on particles are in nanoscale proximity and cannot easily be separated by membranes as in the other architectures. Specifically, if the photocatalysts are operated in a single chamber, they coevolve H2 and O2 which presents significant safety hazards.48 However, redox-mediated water splitting, commonly referred to as “Z-scheme water splitting”, can allow for intrinsically safe operation by coupling separated chambers containing two different types of photocatalysts (Fig. 3(c)).14 In this scheme, H2-evolving photocatalysts produce H2 in one chamber while selectively oxidizing a redox shuttle. The oxidized shuttle diffuses to the second chamber where it is selectively reduced when the O2-evolving catalysts produce O2. An example of a shuttle are the I− and IO3− mediators. The solar spectrum is split between the H2-evolving and O2-evolving photo-reactions if the chambers are placed on top of each other. For example, O2-evolving photocatalysts absorb the solar light unused by the H2-evolving photocatalysts. The top STH efficiencies for suspensions without a mediator are 0.65%, while the photocatalyst sheets49 have achieved just above 1% STH efficiency with BiVO4 and SrTiO3:Rh photocatalysts.14
Sustainability metrics to compare these systems include energy returned on energy invested (EREOI), greenhouse gas emissions and ecotoxicity.18,50 Although there are fewer studies, EREOI for PV-E and IPEC installations is likely to be positive.19,20,51 Social metrics to compare these systems include the potential to create jobs and the acceptance level of the technology itself. The importance of these has been recognized,10 and they will be a focus as the technologies and their applications develop. Their scalability or manufacturability are equally important.18,52 Notably, investments in these benchmark systems for H2 production are a gateway to other solar-driven energy conversion chemistries, including light-driven CO2 reduction,53,54 N2 or nitrate reduction,55,56 and H2O2 synthesis.57
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| Fig. 4 Progression of PEC technology from materials development at benchmarking scale to commercial applications. | ||
000 hours.Because of their operating environment, the most significant stability challenges in IPEC systems64 are typically associated with semiconductor corrosion65 and catalyst stability.66,67 However, other instabilities may also be present, including mechanical damage from bubbles (cavitation),68,69 thermal expansion, and membrane degradation in use.70,71 Meeting the economic target of low-cost H2 with current materials sets will require either developing (photo)electrochemical materials systems where high activity is achieved using low loadings of expensive catalysts based on noble metals (Pt, Ir, Ru) or inexpensive,72 less active abundant ones (Fe, Co, Ni) at higher loadings, all on Si or other inexpensive visible light-absorbing PV materials such as oxide-based semiconductors or lead-halide perovskites. Regardless of the semiconductors used, a decrease in the overpotentials required by these catalysts is necessary to improve efficiency. Additionally, perovskite PV materials appear to be only practical for PV-E applications where the semiconductor material can be put in a rigorously controlled environment, for example separated from an aqueous environment. A transition to polyelectrolyte membranes that are rigorously stable in use and not perfluoro hydrocarbon-based is also important.73 Accelerated timelines for realizing these improvements are key: they will be a major factor shaping IPEC technology adoption.
While demonstration projects have provided convincing arguments for particle systems, the relatively low efficiency and TRL of intrinsically safe (i.e. separated H2 and O2 production) PCP systems compared to the PV-E devices may pose a challenge for penetration into the clean hydrogen markets. A specific challenge that limits many PCP systems from achieving high efficiency is controlling redox selectivity in a way that promotes the desired water splitting or Z-scheme reactions while minimizing undesired back reactions that reduce STH efficiency.14,74
| R&D Opportunities | |
|---|---|
| PV-E and PEC designs | Testing of prototype scale demonstrators |
| H2 collection and transportation systems | |
| Use of waste heat to improve systems | |
| Photocatalytic particle designs | High efficiency with full separation of O2 and H2 |
| All systems: catalysis and photocatalysis | Efficiency of the oxygen evolution reaction |
| All systems: durability | Degradation-resistant materials |
| All systems: low cost manufacturing | Fabrication of high performance reactors using low cost materials and processes |
PV-E systems are capable of operating at high efficiencies and with lifetimes currently unmatched by IPEC systems or PCP systems. However, progress is still needed to demonstrate scalable manufacturing, efficiency, and stability. Module demonstrations need to take place at a physical scale that can address balance of systems (BOS) integration in a realistic way (gas/liquid transport and separation, packaging, material uniformity) so that BOS infrastructure engineering can maximize STH efficiencies. These demonstrations should be on the order of 10–100 m2 of active panel area to test the viability and actual costs of system designs. Based on designs from the PV industry, the panels are most likely to be modular, constructed from cells of about 100–1000 cm2 tiled within the water and product gas handling infrastructure.
Particle systems have been shown to be attractive from high level technoeconomic studies.11 While concepts for the intrinsically safe designs14 have been explored45 they have yet to be realized in fully scaled systems. InGaP nanowires have achieved 9% STH efficiency for 74 hours with subsequent performance loss attributed to catalyst dissolution.75 Al-doped SrTiO3 photocatalyst particles, on the other hand, were determined to be stable for 1300 h with an STH of 0.3%.34 Demonstrating systems with STH efficiencies greater than 2% with stability in the range of 1000's of hours and full H2 and O2 separation within the reactor would be an advancement in the field. Materials and design improvements and understanding how durability and corrosion impact particle-based systems are all possible areas of development.
Beyond these PV-E and particle-based systems considerations, breakthroughs in catalysis and photocatalysis are also needed for all technologies. In particular, improving the activity of oxygen evolution catalysts using novel, stable materials and enhanced charge separation of photogenerated charge carriers will have a large impact on performance. Transition metal oxides offer an avenue to bandgap engineering via metal or N doping for high performance multijunction photoelectrodes and particle-based technologies as well as providing a platform that is more stable to photocorrosion than Si and III-V semiconductors.76 The efficiency of photocatalytic oxygen evolution reaction can be enhanced using a built-in electric field present in semiconductor-based heterojunctions to direct flow of electrons away from the active surface and holes toward it.77 Additionally, oxides can have reduced overpotential for water oxidation such as found for TiNO films, where the overpotential is as low as 290 mV at 10 mA cm−2, the current density typical of light-driven water oxidation systems.78 A scalable production of this material will require roll-to-roll or rapid sputter deposition, presenting additional materials synthesis innovation opportunities that may be useful for manufacturing other oxides. While water oxidation is currently the central chemistry for large scale H2 production, pursuing other photooxidation chemistries such as glycerol oxidation which operate at a lower overpotential may offer a better path toward efficiency although the achievable scale may be limited.79,80 Improvements are also needed in understanding carrier collection/accumulation, and charge transfer phenomena (including photocorrosion) in particle systems, especially at low light flux/low current densities relevant to these systems.
Unlike PV-E devices, which have physically separated light absorbers and electrolyzers, IPEC and PCP devices share opportunities for using thermal management to improve device performance.18,81,82 Electrolytes may serve as heat sinks, by both thermal energy transfer from the illuminated photoabsorber and directly absorbing low energy photons. The resulting electrolyte temperature increase can be used to increase the catalyst turnover frequency, particularly for catalytic water oxidation where the intrinsic kinetic barriers are often rate limiting.83 Operation at elevated temperature has also been shown to be advantageous for PCP systems.75,84 Recent work on faceted N-doped TiO2 photocatalyst particles84 reported STH efficiencies up to 20% and overall efficiencies up to ∼16% for operation in electrolyte-containing solutions at elevated temperature (150–270 °C) and pressure. Such possibilities for exploiting kinetic and thermodynamic advantages of operating at elevated temperature will become increasingly salient as work on solar-concentrated hydrogen evolution and water oxidation advances.
Advances in scientific understanding will directly inform progress in engineering. Recent TEA studies have examined in detail the costs associated with manufacturing H2 using PEC systems and point the way to removing economic barriers.17,28,85 The studies have considered full plants at the 610 tonne day−1 (ref. 28) and 1 tonne day−1 (ref. 17) levels, and have reached comparable conclusions on cost drivers. These are the cost of the modules, including the materials in the PEC reactor, their size, and their lifetime (replacement frequency). A comprehensive TEA85 prepared for this report for panel and particle-based systems is presented in Fig. 5, putting the module cost in context with land and operating costs. Land requirements are proportional to module efficiency, so will be reduced as efficiency is improved.
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| Fig. 5 TEA data for two types of plants, panel-based (top) and particle-based (bottom). The trends illustrate the impacts of scaling and technology improvements, with targets as listed in Table 1. It is evident that decreases in land and capital costs are connected to increases in system efficiency. | ||
To measure progress toward meeting target metrics, it is essential to develop best practices and protocols for testing and benchmarking the efficiency and reliability of PEC systems.52,86–90 To be relevant to meeting the <$2 kg−1 goals, initial tests should target accelerated and “real world” operational tests to demonstrate performance in the range of 1000 hours initially, and building up to multi-year operation. This includes understanding at a fundamental level any changes during day/night cycles and seasonal variations in insolation and environmental conditions. These new practices will support certification to enable robust comparison of H2 production across technologies.
Several microbial BioH2 production pathways have been intensely studied historically, including biophotolysis, photo-fermentation (PF), and dark fermentation (DF).109–113 However, the focus of the discussions was on dark-fermentation integrated with microbial electrolysis cell as dark fermentation generally due to the relatively fast hydrogen production rates compared with biophotolysis and photo-fermentation.
| Parameter | Units | State of the art | Ultimate target |
|---|---|---|---|
| a Note: high molar yield leads to high H2 production per unit of feedstock.b Highest H2 productivity and current density were achieved from separate settings.c $12.4 per kg H2 assumes 80% conversion of the feedstock biomass to hydrogen.d Ultimate target for MEC current density is purely based on a TEA model of an integrated DF_MEC system and the data is not published yet. | |||
| Feedstock cost | $ tonne−1 | $86.68 for herbaceous biomass117 | Low-cost, Negligible, or permits revenue from discharge or tipping fees |
| Bioreactor feedstock loading for fermentation | kg feedstock per L reactor volume | Trade-offs between feedstock deconstruction/utilization and feedstock loading beyond ∼ 25 g L−1 as cellulose | ∼50–100 g L−1 loading with ≥80% conversion |
| Yield (molar, per feedstock) | mol H2 per mol sugar, akg H2 kg−1 biomass | <1 to 3.2 (trade-offs observed between sugar/feedstock loading and yield) | ≥3.2107 |
| H2 productivity | L H2 per L reactor volume | Fermentation: 6.6 (batch operation) and 24.8 (fed-batch operation) both using deacetylated and mechanically refined corn stover | TBD. Best to what experiments can achieve. Remained to be assessed with different feed stream and as a function of the reactor design/architecture. |
| MEC: 81 ± 3 L H2 L−1 day−1 (synthetic)118 22.2 ± 6.2 L L−1 day−1 (real waste stream)119 | |||
| Current Density | A m−2 | 5–66b (unpublished data from fermentation wastewater generated from DMR);118 50 using synthetic media as MEC feedstock118 | 1000d |
| Electrode Cost | $ m−2 | $200 m−2 | $20 m−2 |
| Electricity Cost | $ kwh−1 | $0.07 kWh−1 | $0.01 kWh−1 |
| Cost | $ kg−1 H2 | 12.4c (with assumptions) | 2 |
Achieving efficient conversion – the maximum yield of H2 from the complete oxidation of biomass-derived sugar is 12 mol H2 mol−1 hexose (C6, glucose, etc.) and 10 mol H2 mol−1 pentose (C5, xylose, arabinose, etc.). However, the theoretical limit for DF is 4 mol H2 mol−1 hexose and 3.2 mol H2 mol−1 pentose,107,125 as the microbes co-produce partially oxidized organic carbon products that do not allow complete recovery of the electrons contained in the feedstock as H2. With each substrate containing different amounts of sugars, maximum yield on various biomass substrates ranges from 11 to 21 kg H2 kg−1 substrate based on models by Solowski et al.,126 highlighting the impact of feedstock selection.
Achieving high H2 molar yield (per mol of sugar embedded in the biomass) hence leads to high H2 yield per unit of starting feedstock. However, the trade-off between feedstock/sugar loading and H2 molar yield underlines the importance of metabolically moving electrons efficiently to the H2 synthesis pathway in the cells at high loadings of biomass. The capacity to process high loads of feedstock also reduces the demand for a large bioreactor footprint, an important cost driver. However, overflow metabolism characterized by production of an array of amino acids and alcohols was observed in the model cellulose-degrading bacterium Clostridium thermocellum when high substrate loading (100 g L−1 avicel also known as crystalline cellulose) leads to an increased rate of substrate utilization.127 Eliminating loss of electrons through side reactions remains critical in achieving high H2 yield. For instance, eliminating lactate128 and ethanol129 production have shown to increase H2 production and remains a vital approach.
Biomass deconstruction to fully unlock the available sugars within the feedstock requires additional testing of recombinantly expressed enzymes to break bonds linking various types of sugars for microbial utilization. CBP operation at high solid ratio typically result in incomplete fermentation by the candidate organisms as they stop breaking down the biomass and growth despite having food (e.g., lignocellulosic substrate) at their disposal.130–136 This decreases titers, rates, and yields, which adds cost to production. It is therefore critical to understand the underlying metabolic regulations governing sugar utilization as well as mechanisms inhibitory to both lignocellulose deconstruction and microbial growth.131,132,134,137 To-date, inhibition has been attributed to multiple metabolites such as (1) short to medium chain acids; (2) lignin derived compounds produced during fermentation that disrupt the membrane proton gradient and integrity;138–140 (3) HMF (hydroxymethylfurfural), furfural, and phenols that damage DNA, proteins, and membrane;141–143 and (4) deconstruction intermediates like sugar-oligomers.132,134 Molecules secreted such as quorum signalling peptides (e.g., AgrD-type cyclic peptides) and metabolic products such as organic acids made by the microorganisms may also signal the cells to stop growth.144 Eliminating the production of such signal peptides may be possible by disruption of the secretary mechanisms or pathway through targeted gene deletion. Process engineering such as separation or dilution of the fermentation broth remained to be explored. Identifying specific metabolic inhibitor(s) and mechanisms as well as strain modification/engineering and feedstock pre-treatment to overcome growth inhibition and hurdles in feedstock utilization is urgently needed.
Redox cofactors (NAD(P)H, ferredoxin) are known to mediate electrons obtained from sugars to hydrogenases for H2 production. In C. thermocellum, both NiFe- and FeFe-types of hydrogenase are present based on genome information145 yet their role in H2 production/oxidation and their associated redox cofactors (e.g., NADH vs. NADPH) are unknown. Such basic understanding will inform a genetic engineering strategy to maximize electron flux toward H2, as biochemical reactions which divert the electrons away from H2 production to side reactions or metabolites can be potentially inactivated by targeted gene deletion.
Feedstock supplies, selection, and processing – lignocellulosic biomass is one of the most abundant sources of carbohydrates suitable for CBP. The Billion Ton Report146 identified up to 1.5 billion tons of total biomass resources in the form of dedicated energy crops, agricultural residues, logging residues, municipal solids, waste resources including animal manure and wastewater sludge, algae, and industrial CO2.146 Premiums paid to address and remediate a waste stream (e.g., tipping fee) bring revenue to offset BioH2 production cost. Locally sourced biomass, such as industrial food waste streams, requiring minimal processing and transportation will reduce cost and meet near-term needs for DF. However, as the industry scales up, more sophisticated logistics supply chain operations will be required to aggregate, store, preprocess, and formulate material. Depot models utilizing blending and formulation have been proposed to economically deliver an on-spec commodity product,117,147 similar to that of the oil and gas industry that utilizes midstream operations to manage variability upstream and deliver on-spec products downstream.
While lignocellulosic biomass is primarily composed of cellulose, hemicellulose, lignin, and ash, the ratios of these components can vary depending on different biomass types, anatomical fractions, and tissue types, which all introduce variability challenges in downstream processing operations.148 For example, the rind and vascular bundles of corn stover are rich in lignin, creating rigidity for the plant but also contributing to its recalcitrance to decomposition in comparison with the carbohydrate-rich pith tissues.149 Targeted pretreatments and extractions can improve DF performance. For example, hot water treatments target hemicellulose removal to prevent the buildup of xylo-oligomers that can be fermentation inhibitors in DF, meanwhile providing recalcitrance reduction in the lignocellulosic matrix such that carbohydrates are more readily available.117,147 Being effective in deconstructing the biomass, flexible to handle multiple feedstocks that are cost competitive, and robust in tolerating feedstock variability are key features of a viable technology.
Process integration and intensification – deployment of industrial-scale fermentative H2 production necessitates maintenance of high volumetric H2 productivity and high yields across long time scales, with minimal investment or downtime for cleaning and sterilization. Compared with bench-scale, low-intensity fermentations, larger-scale and higher-intensity fermentations are challenged by high viscosity mixing, higher partial pressures of dissolved H2, and accumulation of soluble inhibitors generated as fermentation co-products or via feedstock solubilization. High production rates obligate high flux and throughput of biomass feedstocks, which is prone to reduce H2 yields due to viscous rheology that impedes the uniform mixing required to maintain pH, dispersion of hydrolyzing enzymes, and an optimal dissolved gas concentrations.150 Dissolved H2 in the aqueous phase can adversely affect yields due to reaction equilibrium as H2 is a product of a reversible reaction catalyzed by hydrogenase enzymes, which differs from the obligated H2 production as a byproduct during nitrogen fixation by nitrogenase. Active removal of H2 is therefore critical to maximize productivity, but these interventions must be applied while an optimal dissolved CO2 level is maintained for microbial biomass production.151 Moreover, H2 removal by purging nitrogen gas imposes high costs for downstream gas separations; more scalable deployment strategies should therefore be targeted including thermophilic operation at high temperatures with low associated H2 solubility, and improved mixing geometries to maximize H2 transfer to the headspace. Both mixing and gas removal configurations can be informed by computational fluid dynamics to reduce mixing times, eliminate unmixed dead zones in the bioreactor, and minimize required energy inputs.152 Moving forward, computational models should be complemented with scale-down studies and biokinetic models to better inform the metabolic impact of heterogeneous conditions. Such studies would enable incorporation of biological dynamics into bioreactor computational fluid dynamics models, better informing the trade-offs between biological performance and the costs associated with maintenance of optimal, homogenous conditions.
To address soluble fermentation inhibitors, a combination of source reduction and reduced residence times for the inhibitor remains to be explored. However, balances need to be maintained between high flux of feedstock into the system, continuous removal of inhibitors in the aqueous phase, and retention of the bioconversion host. Continuous substrate addition has the additional benefit of continuous hydrolysis and liquefaction of solid feedstocks, reducing the characteristic viscosity of the system and improving mixing conditions. Use of continuous operational modes, including upflow anaerobic sludge blanket designs, has proven successful for long-term continuous operation with operational periods up to a year.153 Despite the potential for contamination in long-term unsterilized cultures, biohydrogen production can be maintained over long time scales through a variety of strategies including selective enrichment of microbial communities,154 or maintenance of thermophilic cultivations in pure cultures to reduce potential for outside contamination.155
Engineering MECs architecture for real-world applications – converting biomass into hydrogen using MECs requires reconciliation of electrochemical, chemical, and microbiological parameters that impact performance (Fig. 9). Small electrode spacing is needed to minimize the internal resistance of the cell and reduce the impact of low solution conductivity of typical waste streams on electrochemical performance. A small internal resistance in a compact MEC enables larger current and hydrogen production rates at a given applied voltage compared to less compact designs.118,156–158 A small distance between the electrodes makes the use of separators often inevitable to avoid short circuiting of the cell (electrical contact between the electrodes) and to minimize hydrogen losses due to microbial consumption by hydrogenotrophs. Although several MEC studies favored the design of single chamber systems without separators, citing the high cost of membranes and their potential fouling, incorporation of separators remains the only practical approach for minimizing H2 losses (e.g., via methanogenesis) therefore increased energy efficiency.
Maintaining high current densities and stable operation in compact MECs will require careful management of solids and optimization of the solution chemistry. While waste stream pretreatment and new reactor designs can minimize solid accumulation, this aspect of MEC operation requires additional development. This issue is not relevant to any of the other electrochemical technologies that reached commercial scale, as water electrolyzers and redox flow batteries operate with defined electrolytes with stable water chemistry.159 Low buffer capacity (or alkalinity) of wastewaters is another challenge for maintaining stable and neutral pH across the cell.160 MECs will need to be designed to cope with liquid streams that features wide variations in conductivity and pH. The use of separators with a high ionic conductivity such as anion exchange membranes can minimize the adverse impact of a low solution conductivity.118,161 Effluents with high buffer capacities will deliver larger currents and produce more hydrogen by avoiding large pH gradients in the cell and a low pH near the anode, but this wastewater characteristics is not common. Continuous recirculation of a buffer-amended MEC effluent back to the fermenter or an upstream process can be a feasible approach to maximize performance via water chemistry optimization without any chemical losses in released effluents.
The long-term stability of MEC performance needs to be demonstrated via consistent current and H2 generation over time. While the performance of bioanodes in small pilot systems is usually reported as steady, membranes and cathodes have shown rapid degradation due to biological and inorganic fouling. Thick biofilms, often featuring mineral precipitation, can develop within and on the cathode catalysts as well as on the membrane surface, restricting ion transport and increasing the internal resistance of the cell. Such performance degradation has been documented previously; however, no effective approaches for restoring performance without cathode replacement have been developed. Implementation of electrode cleaning is further complicated in systems with tightly spaced electrodes and usually requires complete disassembly of the whole stack. To enhance maintenance efficiency and reduce costs, novel techniques need to be developed for replacing cathodes or cleaning membranes, cathodes, and liquid chambers in situ. These methods should not necessitate disassembling the cell, nor should they disrupt the microbial community on the anode.
Engineering microbial communities for MECs – operation of MECs on aqueous waste streams that are highly variable in substrate composition using natural or engineered microbial communities offers different advantages. Due to their broad metabolic capacity, communities obtained directly from process wastewater, anaerobic digesters, or other waste treatment systems can improve substrate utilization, increase resilience to varying stream compositions, and lower inoculum and operational costs. MEC performance hinges on enriching specific microbial communities capable of maximizing the conversion of the various compounds in the feed stream into electrons. Typically, the indigenous communities consist of diverse species capable of metabolizing a wide range of organic substrates, from simple compounds like sugars and fatty acids to complex molecules like proteins and lignocellulose. Specialized microbes, such as fermentative bacteria, hydrolytic bacteria, and electroactive microbes, can work synergistically to degrade various substrates and transfer electrons to the anode. Robust and functionally diverse communities can dynamically shift their metabolic activity in response to changes in substrate composition, ensuring continuous operation even with fluctuating feed compositions. Over time, the microbial community evolves to enrich species best suited for the available substrates and MEC operating conditions. However, frequent variation in substrate composition can adversely affect anode performance, due to the lag time required by the community to adapt to the new feed source.
MEC operation can be optimized for substrate variability using several strategies. (1) Anode materials can be optimized to promote better microbial attachment and stability. As an example, carbon cloth electrodes allow microbial attachment and biofilm development.156 In addition, 3D printing technologies with existing enriched microbial communities can be used to optimize MEC startup process.156 (2) Pre-treatment of the feed stream can break down complex organic compounds into simpler substrates (e.g., acetate), which are more readily metabolized by electroactive microbes.162 (3) Process control by changing hydraulic retention time (HRT) can ensure microbial community has sufficient time to metabolize complex substrates. A shorter HRT is suitable for simpler substrates, while a longer HRT is better for complex or variable feeds. In addition, real-time process monitoring (i.e., electrical current, pH) could inform adaptive feeding strategies. For instance, when current drops, the new substrates can be introduced gradually while allowing microbes to slowly adapt to new environments. (4) Enriching a wide range of bacteria which can break down carbohydrates, proteins, and lipids into more easily degradable volatile fatty acids or H2 as well as convert/funnel other volatile fatty acids into acetate. Specifically enriching electroactive bacteria that can directly transfer electrons to the anode could improve electron transfer efficiency. (5) Operating MEC at favorable pH's and temperatures.
Scaling up MECs: the importance of minimizing internal resistance – Ultimately, MEC throughput should be increased when assembling industrial-scale reactors. Rigorous design specifications and approaches are needed to define how performance obtained at the bench scale can be translated into large-scale systems. Considerations should be given to both electrochemical and microbiological parameters as MEC dimensions are increased. Several studies have shown that the total electrode resistance normalized by area increases as the electrodes are scaled up.163,164 Scale up studies should include the resistance of each electrode, and of the solution, to pinpoint the largest energy loss in the cell and drive future work toward its minimization. These resistances can be obtained by linearizing the slope of the total cell voltage and electrode potentials as a function of the current density. Previous scale up studies indicated that the internal area specific resistance (ASR) of a microbial fuel cell increased from 255 mΩ m2 at small scale (7 cm2, 28 mL) with near equal electrode resistances (anode, 71 ± 3 mΩ m2; cathode, 66 ± 17 mΩ m2) and a higher solution resistance (118 mΩ m2) up to 880 mΩ m2 at large scale (4800 cm2, 85 L) with a greater increase in the cathode (555 ± 24 mΩ m2) than the anode (238 ± 18 mΩ m2), and similar solution resistance (87 mΩ m2) (SI Table S1). Here, ASR is expressed in impedance × area because it represents the electrical resistance multiplied by the charge transfer area, or equivalently, the voltage divided by the current density. These changes in ASR occurred despite the use of an identical reactor architecture, the same electrode materials, and the same wastewater source.164,165 Such a large ASR (880 mΩ m2) will translate into poor hydrogen production rates of 0.86 L H2 Lreactor−1 day−1 at 0.9 V (100 m2 m−3 electrode packing density and onset voltage of 0.56 V), while current lab scale systems can produce >80 L H2 Lreactor−1 day−1 with an ASR of 8 mΩ m2.118 Reasons for these increased resistances during scale up must be elucidated and addressed to maximize hydrogen production rates. The challenges that arise by using very large electrodes could potentially be circumvented by scaling out. Meaning that rather than scaling up MECs, a large number of smaller reactors are connected together to increase overall throughput.157
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| Fig. 10 Schematic showing exemplar thermochemical cycles. Far left is the simple two-step metal oxide cycle, center is the multistep cycle, and far right is the hybridized cycle that invokes an electrochemical step other than direct water electrolysis. Water and energy are the only inputs into these systems, and hydrogen and oxygen are the only outputs. Nuclear plants, solar and other sustainable power sources supply the energy inputs to these water splitting cycles. Adapted with permission from the Electrochemical Society, ref. 9, Copyright 2021. | ||
The two-step non-volatile, non-stoichiometric redox-active metal oxide (MOx) cycle is conceptually the simplest. The cycle chemistry is depicted in the far left panel of Fig. 10. In the first “reduction” step, a metal oxide like CeO2 is heated to a high temperature where molecular oxygen spontaneously evolves from the crystal lattice under an appropriately low gas-phase oxygen chemical potential. At this moment thermal energy is directly converted into chemical potential energy. In the second “oxidation” step, the now oxygen-deficient CeO2−δ is exposed to steam at a lower temperature where oxygen is stripped from the water molecule producing H2. The second step is also spontaneous, and while the water-splitting process is surface mediated, bulk CeO2−δ does not act catalytically. The defected oxide is “consumed” in the process to the extent allowed by bulk thermodynamics. The MOx cycle is the subject of the present perspective because researchers in the TCH field have mostly abandoned alternative cycle chemistries given a myriad of technological challenges associated with the development of such alternatives.171,174,175
Two general reactor configurations, batch or continuous, and two operational modalities, pressure/temperature-swing or pressure-swing only at constant (or near constant) temperature, respectively, have been employed to date.176 The redox-active MOx in these configurations function simultaneously in all cases as radiant absorbers and reactants that undergo thermochemical cycles governed by bulk material thermodynamics. In addition, materials within these reactors are either heated directly with concentrated solar radiation at flux levels of 100's to 1000's of suns into windowed receivers, or indirectly by irradiating the walls of opaque refractory containment vessels.176,177 Large arrays of heliostats are proposed to concentrate the solar radiation and provide renewable heat at process temperatures in excess of 1500 °C, as well as provide power to the balance of system.178 To date TCH H2 production using redox-active MOx cycles has been demonstrated at scales up to 750 kWsolar.
In this perspective, the current status of the TCH Hydrogen Pathway is examined to identify RD&D gaps, and to discuss the technical challenges that must be solved in order to realize commercial viability. In so doing, opportunities for the research community are outlined that address both fundamental science and engineering challenges crucial for achieving cost parity with other commercial or near-commercial H2 production technologies in support of the H2@Scale initiative.
TCH metrics critical for evaluating process efficiency, viability, and scalability are listed in Table 4. These metrics not only reflect near-term operational capabilities, but also account for long-term upscaled performance and sustainability attributes. Values listed in Table 4 were derived through community consensus, with some examples taken from real-world demonstrations179,180 or detailed system studies,181,182 and encompass various dimensions such as lifetime and degradation rates, energy utilization and costs, while also considering the interplay between functional materials, reactor design, and overall system performance. For example, the energy utilization factor, set at less than 100 kWh kg−1 H2 for the ultimate target, must be considered within the broader landscape of energy inputs and outputs determined by reactor design, operational modality, and anticipated future advancements in redox-active materials as well as improved separations and heat recuperation technologies.
| Parameter | Units | Near term | Ultimate |
|---|---|---|---|
While there are multiple choices for converting between mass and energy for the H2, 32.7 kWh kg−1 H2 is used here.a Ref. 179 – based on HHVfuel and reactor volume.b Ref. 183 – based on H2 at STP.c Ref. 181.d Ref. 182.e Based on H2 conversion system volume.f Based on . |
|||
| STH efficiency | % | 5.3a | 25 |
| Degradation (redox-active MOx) | Δ% redox capacity per 10 000 hours |
<20 | <1 |
| Lifetime (system) | years | 5–10 | 30 |
| Lifetime (redox-active MOx) | % replacement per year | <50 | <10 |
| H2O conversion | % | 18a | >10 |
| Max TRED | °C | >1500a | <1350 |
| Power density | kWfuel m−3 | 45a | >100 |
| Material intensity | kg m−3 | 5000e | 1500 |
| Material cost | $ kg−1 | 5.00 | 2.50 |
| Energy utilization factor | kWh kg−1 H2 | 166b | <100 |
| System cost | $ kWH2−1 | 150–250f | <65 |
| Cost (H2) | $ kg−1 H2 | 4–7cd | <2 |
Metrics such as system cost, currently targeted at less than $65 kWH2−1, should be benchmarked against established technologies to facilitate meaningful comparisons. Similarly, the redox-active MOx degradation metric, which currently targets less than 1% reduction in redox capacity per 10
000 hours, must be evaluated against the operational lifetimes of existing electrolysis technologies, which can exceed 80
000 hours. Importantly, the establishment of a standardized energy utilization metric, suggested here as kWh kg−1 H2, provides a common framework for comparing different H2 production technologies that include other advanced pathways as well as conventional electrolysis. Using robust tools, standardized methodologies for TEA, and adherence to rigorous measurement protocols will ensure that these metrics are traceable across various RD&D efforts. Finally, ongoing research and technological advancements will inform the evolution of these metrics, necessitating a dynamic approach to their modification, refinement, and validation.
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| Fig. 11 A schematic and images of the directly-irradiated cavity reactor tested by ref. 180, reproduced with permission from the Royal Society of Chemistry. | ||
With an exemplar reactor operating at 4 kWsolar input, Marxer et al.180 demonstrated thermochemical gas splitting (CO2 not H2O) with 100% selectivity for carbon monoxide (CO) and O2, achieved 63% peak molar conversion of gas feed, and 5.25% solar-to-CO conversion efficiency (LHV basis) using pressure/temperature-swing operation. The demonstration was not halted by redox-active MOx instability or hardware failure. In fact, this same design was upscaled to 50 kWsolar and deployed on a tower at IMDEA Energy in Spain under the EU Horizon 2020 Sun-to-Liquid Project187 where CO2 and H2O were co-split producing ∼5200 L of synthesis gas (a mixture of H2 and CO) over 62 thermochemical cycles in a dedicated campaign lasting nine days.188 Significantly, the authors report a 4.1% solar-to-syngas conversion efficiency (similar to STH) at this scale without implementing heat recuperation, and further speculate greater than 20% conversion efficiency is achievable by recovering rejected heat. The impact of design and system variables were later explored by Zoller et al.,189 where the authors developed and validated a heat transfer model at the 50 kW scale, and determined that >10% energy conversion efficiency was achievable even without heat recovery. A follow-up project called Sun-to-Liquid II was launched in 2023 and aims to demonstrate a reactor efficiency of 15%.190
Cerium oxide (CeO2−δ) is considered the state-of-the-art material,176,191–193 and not surprisingly was incorporated into the most recent exemplar reactor demonstrations. Its use in a two-step cycle was proposed in 2006,194 and demonstrated in a solar reactor in 2010.195 Ceria offers key advantages for the TCH process: fast redox kinetics,191 long-term thermal stability195 and unique thermodynamic properties196,197 that enable it to split water at relatively high temperatures and with a small temperature swing of 200 °C.196 Notably, ceria is the only non-stoichiometric MOx material known to maintain favourable water splitting thermodynamics at conditions of extremely low gas-phase oxygen chemical potential encountered when substantial amounts of H2 and water vapor coexist in the oxidizing environment. This is due to ceria's unique electronic structure and O-defect formation mechanism that manifests a large entropy of reduction.198–201
At the moment, the choices of TCH reactor type (batch or continuous), operational modality (pressure/temperature swing or pressure-swing only, direct or indirect heating), and the redox active material combine to offer many potential candidate designs and operating modes for upscaling, each with its own key performance parameters, initial TRL, and challenges.176 A directly-heated batch-type reactor operates in discrete cycles where a redox-active MOx is heated, reduced, cooled and then re-oxidized in separate phases within the same cavity. The functional material is fixed inside this cavity and exposed to pressure/temperature-swing cycling, which results in non-continuous H2 production (see Fig. 11); O2 separation is achieved temporally. The basic continuous-flow direct-heated reactor is comprised of two cavities, one held at the higher reduction temperature and the other at the lower re-oxidizing temperature with MOx transported between the two cavities. H2 and O2 are produced continuously and O2 separation is achieved spatially. In either configuration, pressure swing is managed by application of vacuum or inert gas sweep to generate the low O2 partial pressure required for MOx reduction.
The main differences between batch- and continuous-types are: (1) system complexity, (2) active material inventory and management, and (3) heat recovery – all of which affect system cost and design-point efficiency leading to trade-offs when considering scalability. For example, the batch-type reactor is simpler to design and possibly less costly to build and operate than a continuous-type, but encounters significant challenges when scaling to MW levels due to the large quantities of redox-active material required and the complexities of maintaining uniform absorptance of concentrated solar irradiation in large receivers. Additionally, since the material is fixed inside one cavity, practical limitations restricts heat recovery to gas-gas and gas-solid precluding direct solid–solid. In other words, effectively recuperating heat from the solid when cycling between the reduction and re-oxidation temperatures, or even recovering the re-oxidation exotherm for that matter, is prohibitively difficult in fixed-bed devices.203,204 Indirect heating of the redox-active solid, while appealing because it eliminates engineering challenges associated with windowed receivers, increases heat transfer resistance requiring the directly irradiated containment vessel to operate at much higher temperatures than a like-type windowed receiver. Due in part to these design challenges, the highest achievable STH efficiency of the batch-type system is fundamentally limited and predicted to be lower than a continuously operating reactor.
Continuous-type reactor designs are more complex due to the challenges of conveying MOx material in harsh thermal and mechanical environments that need to maintain a hermetic seal (i.e., gas separation) between the two cavities and the ambient environment. However, the ability to operate continuously delivers stable H2 production rates and improved thermodynamic performance engendered by designs that utilize counter-current flow between the reacting solids and gases to maintain more favorable chemical potential gradients within reduction and re-oxidation zones.205,206 Additionally, continuous-type reactors offer a direct means to recuperate heat from solid reactants and require much less redox-active material to operate because the oxide is not stored inside the cavity receiver. And while these design features may ultimately greatly increase STH and overall system efficiency relative to batch-type, very few continuous-type concepts have been tested,207,208 and none have yet achieved better performance than the exemplar batch-type design.
An alternative pathway to that of directly irradiated receiver-reactor concepts (windowed or indirect) is also under development seeking to avoid the large re-radiative losses at the primary aperture and material failure due to strong thermal gradients. This approach is indirect in which the solar heat collection is decoupled from the chemical reaction using a heat transfer fluid. In 2019, a novel solar receiver was developed that achieves fluid temperatures of 1550 °C at a receiver efficiency exceeding 80% with a relatively moderate concentration ratio of 1000 suns. This high temperature, high efficiency receiver accomplishment exploits the “greenhouse” effect of polyatomic gases to reduce re-radiative aperture losses.210 Using a fluid to indirectly heat redox-active materials that are confined in fixed or moving beds does add heat transfer resistance but avoids direct exposure of functional materials to high-flux irradiation that accelerates thermal degradation. More importantly, heat recuperation and storage, which enhance overall system efficiency, is significantly easier because the heat transfer fluid circulates throughout the process but does not contact redox-active material. Such TCH schemes operate at a lower temperature (to lessen the material stability challenge) and with lower energy conversion efficiency, but fundamentally incorporate heat recuperation and storage. In addition, other benefits to decoupling solar collection from chemical reactions include the ability to better design each receiver and reactor component separately and, in the case of a packed-bed thermochemical reactor, adopt designs more commonly used in the chemical industry.
The material efficiency target, which is a different standard than STH, is derived from the free energy needed to split water normalized by the reaction enthalpy of MOx reduction. This value is the maximum theoretical efficiency a MOx material can attain in a two-step water splitting process213 and reveals the importance of discovering water-splitting oxides that have a lower reduction enthalpy than CeO2; such materials would cycle at lower temperatures and are inherently more thermodynamically efficient thus positively impacting systems-level performance markers as discussed earlier. Aside from kinetic performance, the remaining parameters are metrics that relate fundamentally to the magnitude of a MOx's reduction entropy and will be discussed shortly. Here, materials are characterized by measuring H2 production capacity in an oxidation environment that co-mingles steam and H2; representative of a “high [steam] conversion condition”.214
Taken together, the targets expressed in Tables 4 and 5 stimulate innovation in material discovery and in the design of complex thermochemical systems necessary to overcome current barriers to advancing the TRL of TCH technologies. Among recent RD&D efforts exploring new non-stoichiometric MOx materials are a set of focused, long-term projects coordinated through DOE's HydroGEN Advanced Water Splitting Materials Consortium, which is a highly collaborative initiative launched in 2017.215
| Parameterb | Unitsa | Descriptor | Ultimate |
|---|---|---|---|
| a Unitless targets normalized to values measured for CeO2 cycled at ΔT = 550 °C and 10 pa O2.b Measured at specific redox cycle conditions (see ref. 212). | |||
| Material efficiency | % | Thermal efficiency of two-step process ![]() |
>50 |
| Reduction capacity | — | mmol O mol−1 atom in solid | 5× |
| H2 production capacity (100% steam) | — | mmol H2 mol−1 atom in solid | 5× |
| H2 production capacity (oxid. @H2/H2O of 0.001) | — | mmol H2 mol−1 atom in solid | 2.5× |
| H2 production capacity (oxid. @H2/H2O of 0.01) | — | mmol H2 mol−1 atom in solid | 1× |
| Kinetic performance | — | Time to 90% of H2 produced at max yield | 0.20 |
To overcome these barriers, RD&D opportunities exist in the discovery of materials with superior reduction behavior at less extreme conditions that exhibit fast kinetics, highly stable cyclability, and high water conversion extent at practical re-oxidation temperatures. There is also opportunity for engineering material form factors to better utilize solar absorptance, together with improved heat and mass transport. Innovative, robust, minimal maintenance reactor concepts are needed that can efficiently scale to >1 MW and be compact enough to facilitate modularity or simplicity in installation while achieving a high power density. Auxiliary systems with advanced heat exchange and separations that take full advantage of thermal energy storage and system integration are essential to meet the energy utilization target and achieve ultimate scalability. Finally, robust methods for conducting detailed TEA and LCA216 informed by engineering data collected from upscaled systems, which account for transient operation, are needed to improve our understanding of – and build upon our knowledge of – key relationships that can be leveraged to reduce costs and explore optimal trade-off strategies.
While it is important to recognize the value of investing in demonstration projects focused on low-risk and high-reward gains (i.e., application of derivative knowledge), it is equally important to recognize the potential of data science and machine learning to enhance material discovery, as well as explore how cycle hybridization or chemical looping integration can enhance overall process efficiency.
Computational material science – RD&D opportunities exist to help close knowledge gaps and increase our understanding of TCH material redox behavior. Efficient water splitting materials require not only favorable thermodynamic properties, determined by the energetics and defect formation mechanism of a lattice oxygen vacancy, but also optimized kinetics manifested through careful tuning of defect chemistry and structural stability.217,218 In addition, an efficient water splitting material must be durable enough to remain stable over many thousands of redox cycles at high temperature, and at extremely low gas-phase oxygen chemical potential, which thermally and chemically stress the crystal lattice on every cycle. Stability and durability of the MOx are a direct result of degradation mechanisms underpinned by fundamental physical and chemical driving forces that result in phase evolution, phase separation, dissolution, sintering, and reactions at interfaces. Given the clear need to discover better performing materials, opportunities to conduct both derivative and fundamental research abound.
Since the emergence of ceria as the preferred non-stoichiometric MOx in two step cycles – supplanting iron oxides – there has been a concerted effort to modify its thermochemical behavior while preserving the fluorite structure and its unique redox properties.193,219 Substituting percent levels of Sm, Hf, or Zr for Ce proved useful in reducing the reduction enthalpy and lowering the reduction temperature, however, reduction entropy also decreased which lessened the thermodynamic driving force for water splitting.220 Similarly, a promising group of Mn-based perovskite oxides emerged – La1−xSrxMn1−yAlyO3221 and BaCe0.25Mn0.75O3214 – that reduced to a much greater extent than ceria at temperatures ∼1350 °C; however, these oxides also suffered from low reduction entropy relative to CeO2. Therefore, as the field continues to pursue derivative studies on small classes of materials, there is a clear knowledge gap in our understanding of how to modify and/or formulate the MOx composition and electronic structure needed to increase reduction extent at lower temperature while simultaneously preserving high water-splitting efficacy.
Stepping into this gap is a new and exciting era of TCH materials-by-design using first-principles theory and machine learning. Computational frameworks have systematically demonstrated their ability to identify and evaluate promising candidates. Beginning with Wolverton and colleagues, who pioneered computational approaches to screen oxygen vacancy energetics, phase stability, and cation redox potentials in novel perovskite oxides,201,222,223 others followed using physically intuitive models218 or crystal graph neural networks trained by density functional theory (DFT)224,225 to capture complex relationships in crystal structures needed to predict and screen for redox activity. These works not only highlight the interplay between local bonding environments and defect formation energy, but have resulted in a substantial increase in the number of compounds predicted to split water under TCH reactor conditions.
One notable outcome of these frameworks is the discovery of Ca2/3Ce1/3Ti1/3Mn2/3O3 (CCTM2112).226 Briefly, first-principles calculations identified CCTM as a stable perovskite oxide with favorable redox properties through the following steps – the oxygen vacancy formation energy was predicted to be 3.30 eV placing it within the optimal range for redox cycling and lower than that of CeO2, convex hull analysis confirmed phase stability under water splitting redox conditions, and electronic structure analysis revealed both A-site Ce4+/3+ and B-site Mn3+/2+ redox activity that is a very novel finding for a perovskite oxide. Predictions were validated experimentally. This example highlights the transformative role of computational methods—first-principles calculations and machine learning—in identifying high-performance redox-active materials. Other groups funded by DOE's HydroGEN215 consortium have also demonstrated equally successful computational frameworks tailored for TCH material discovery by enabling targeted predictions of thermodynamic and structural properties. Ample opportunities remain to continue improving the predictive power of these frameworks by extending models and workflows. For example, more training data and experimental validation are needed to capture MOx features of solid solutions, and to improve model accuracy for “unseen” crystal structures.
Engineered material shapes of form factors – recently, researchers have accepted the thermochemical limitations of CeO2 and instead focused on improving STH efficiency by enhancing the capture and utilization of solar energy within the material. This is accomplished by modifying the geometric shape of ceria inside the solar reactor. Casting ceria into reticulated porous ceramic structures revealed that high surface-area engineered forms greatly increases gas–solid contact enhancing heat transfer rates and reaction kinetics.227,228 Building on these observations, other works cast ceria into various shapes via 3D-printing and found such ordered structures performed better than reticulated porous ceramic, especially at controlling temperature gradients through large sections of material.229 The 3D-printed materials not only achieved a higher and more uniform temperature profile compared to that of state-of-the-art reticulated structures, but increased the specific fuel yield per unit volume for the same solar radiative flux input, which directly improves both power density and energy utilization. Engineered structuring of redox-active MOx is at the forefront of modern TCH reactor design and opportunities continue to evolve where baseline structures can even be chemically modified to enable or enhance performance, essentially activating inert support material to potentially lower costs.230
Alternative redox strategies – the high temperatures required to reduce a non-stoichiometric MOx can be decreased without manipulating the crystal's electronic structure, as is currently practiced, if chemical reducing agents such as methane are introduced into the reduction step. While this is common practice in the carbothermal reduction of oxide ores in the metallurgical industry using solid forms of carbon, and has been proposed and demonstrated specifically for solar syngas production with fully-stoichiometric redox cycles,169 this alternative is much less commonly proposed for non-stoichiometric oxide cycles and thus presents an opportunity to explore benefits and design trade-offs for TCH.
Taking CeO2 as the example, a small number of experimental231,232 and theoretical233 treatises have been published that show much higher reduction extents for CeO2 (defect concentration – δ > 0.2) can be obtained at temperatures less than 1000 °C. Major advantages to this alternative processes are: (1) a lower reduction temperature enables easier coupling to thermal heat sources and reduces re-radiation losses to the environment, and (2) the need for heat recovery is greatly reduced, or in the case of ceria heat recovery is completely eliminated. In fact, Krenzke and Davidson233 predict a solar-to-fuel conversion efficiency of 39% for CO2 splitting and 40% for H2O splitting without heat recovery using methane-driven reduction. Syngas formed during MOx reduction can be converted predominantly to H2 using conventional water-gas shift technology, though equilibrium constraints typically leave traces of CO or CH4234 which may require gas cleanup depending on H2 purity requirements. Regardless, high-purity H2 can be obtained in the re-oxidation step when feeding only steam.
Short of producing pure H2 using carbothermal reduction, syngas itself is a flexible intermediate for synthetic fuels, chemicals, and materials. Thus an opportunity exists to position TCH as a bridge to carbon-based circularity even if H2 generation becomes a lesser priority. Importantly, coupling carbon capture and sequestration to the process, or using biogas instead of natural gas as the reductant, would drastically reduce the industrial emissions from conventional H2 production via steam methane reforming.235
Another underexplored pathway towards alternative reactor concepts aimed at reducing the reduction temperatures of the redox-active MOx is to introduce an electric potential to realize electrolytic reduction.236,237 As with chemical reduction, this idea is not commonly proposed for a non-stoichiometric oxide water splitting cycle and we are aware of only one report that validates the hypothesis. Recently, an experimental demonstration of the thermoelectrolytic reduction of CeO2 in a CeO2-YSZ composite achieved reduction temperatures as low as 850 °C with a 2 V applied potential, demonstrating H2 productivity and complete oxidation reversibility.238 The operating principles of electrolytic reduction are well known and studied in the field of solid-state ionics. In this process, the thermoelectrolytic cycle exploits the relatively large ionic and electronic conductivities of redox-active mixed ionic–electronic conducting oxides at elevated temperatures to effectively move oxygen ions and electrons through the material using an electrochemical potential gradient that enables deep reduction at lower temperatures compared to thermal reduction. Preliminary thermodynamic analysis shows that when using concentrated solar irradiation as a heat input, coupled to electricity from photovoltaic cells, STH efficiency in excess of 30% is achievable. The process also offers a means to offset electrical requirements with process heat.236,237 RD&D opportunities in this space exist for materials discovery and developing optimized electrochemical cells.
Integrated systems and TEA – upscaling, development, and commercialization of the TCH production pathway would greatly benefit by narrowing the TRL gap between the water splitting reactor (i.e., the system that converts thermal energy to H2) and the remaining system components that store thermal energy, recover and recycle thermal energy, separate and purify gases, and compress product gases for downstream delivery. The solar-powered H2 production reactor is at TRL 4–5. However, other integral components needed to complete the system are at TRL 1–2 because of the extreme environments and unique operating conditions encountered in the two-step non-stoichiometric MOx cycle. For example, ultra-high temperature thermal energy storage and heat transfer components are notional or lab-scaled,239 and novel ideas for efficient separation of H2 from excess steam,240 or maintaining low O2 partial pressure in reduction,241 are just beginning to emerge. And while TCH systems have the potential to advantageously integrate with downstream synthesis processes for chemicals like ammonia, methanol, and sustainable aviation fuel, designs for optimal thermal integration and pressurized oxidation strategies capable of efficiently delivering H2 or syngas directly to downstream synthesis platforms at required process conditions have not been reported.
TEA of full-scale, integrated systems would help identify prospective pathways to market,242 expose and help address key gaps in our understanding of system integration strategies, and stimulate needed RD&D beyond the H2 production reactor. However, since concepts for the aforementioned advanced system components are immature, an alternative computational framework for conducting TEA is used (see SI). This alternative approach separates the cost of energy, derived from a concentrating solar power plant, from that of the hydrogen conversion (HC) plant – whose system boundary starts with energy input from the solar radiation (SR) plant. This separation provides an opportunity to input the energy required to produce H2 in multiple ways without having to redo the analysis, thus facilitating the exploration of a wide range of potential new configurations in future studies. Furthermore, costs for HC and SR are based entirely on material costs (like concrete and steel that are precisely known) with single multipliers to simplify TEA, as opposed to summing over individual components in a detailed though uncertain plant design as is traditionally done.181,243 More importantly, material intensity and power density (see Table 4) scaled by reactor volume is used to calculate HC CAPEX establishing an explicit link between these two metrics in affecting system cost. Fig. 12 shows a waterfall chart for the levelized costs for H2 production derived from this more simplistic approach. Formulating and understanding cost tradeoffs between choosing a lower performing material (reflected in the power density) if the system can be realized using a lower material intensity, relative to a competing concept, are easily visualized using this approach. As with other more traditional methods of TEA, single multipliers embody scaling, learning, land use, and operational factors that can be directly linked to and informed by a component-based approach. The chart in Fig. 12 is consistent with current thinking about how the cost of energy dominates the TCH technology landscape, and where design improvements that reduce material intensity for both SR and HC are needed to achieve ultimate cost targets.
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| Fig. 12 Waterfall chart derived from TEA of a TCH process using methods described in this section. The cost of energy (LCOHCENERGY) dominates H2 production cost in this example where a concentrating solar power plant (SR) provides thermal energy to the H2 conversion process (HC). This analysis exposes a need to reduce SR material intensity and exploit novel heliostat field designs that decrease SR factors in order to achieve costs targets. Similarly, HC material costs that are determined by the metrics described in Table 4, and are influenced by scaling and learning, have a significant impact on breaking the $2 kg−1 H2 barrier. | ||
Economics will ultimately define the success of TCH technologies. The levelized cost of hydrogen must be driven down by targeting the largest cost contributors with the discipline and foresight gained by developing a comprehensive technology development roadmap. Here, there is need and opportunity for the community to develop such a plan.
Despite differences in scale, energy input, and feedstock compatibility, the PEC, BioH2, and TCH platforms share a set of cross-cutting technical challenges that must be addressed to achieve cost-competitive, durable, and efficient systems. Central to all is the imperative to develop robust materials and operations capable of withstanding uniquely challenging and variable operating environments, including exposure to concentrated sunlight, high temperatures, feedstock variability, or reactive intermediates. Stability over prolonged operational cycles, resistance to fouling and degradation, and compatibility with system integration requirements remain critical barriers. The U.S. DOE BES has recognized that a deep mechanistic understanding of chemical reactions, interfacial phenomena, and materials transformations underpinning degradation phenomena at relevant operating conditions is needed to address these barriers.244 For example, in PEC systems, light-driven catalysis involves complex interfacial charge dynamics and competing recombination pathways, where small changes in catalyst morphology or surface chemistry can significantly influence performance and stability. In BioH2 configurations, understanding microbial metabolism and electrode-biofilm interactions under electrochemical stimulation enables the development of strains and materials tailored for high conversion efficiency and fouling resistance. TCH systems require detailed insight into redox thermodynamics, oxygen exchange kinetics, and sintering or phase segregation phenomena in metal oxide materials under thermal stress. Fundamental science plays an indispensable role in overcoming these challenges.
At the system level, engineering solutions must account for not only component optimization but also reactor integration, thermal management, gas separation, H2 storage and transport, and process scalability. PEC systems must integrate light absorption across the solar spectrum and operate at low overpotentials to enable chemical conversion efficiency while maintaining compact, modular designs. They must also manage alternating on-and-off states and variable insolation over days and seasons. BioH2 systems require innovations for process intensification, in reactor architecture as well as feedstock processing, that support continuous operation in spite of feedstock variability. TCH systems demand reactor designs capable of tolerating ultra-high temperatures and thermal cycling while maximizing solar energy capture and conversion efficiency. The importance of coupling materials and system design—through coordinated co-development—is increasingly recognized as essential to accelerate progress toward commercial readiness.
Importantly, these technologies serve distinct deployment contexts. PEC and BioH2 systems offer promise for distributed, decentralized hydrogen production in regions lacking extensive energy infrastructure, enabling flexible integration into local energy systems or industrial processes. Their potential to utilize low-grade or waste inputs, such as wastewater, agricultural residues, or diffuse solar irradiation, supports circular economy principles and resource efficiency. Decentralized production places dispatchability in the forefront, so that H2 can readily be moved to wherever it is needed. In contrast, TCH systems are inherently more centralized and thermally intensive, making them suitable for industrial-scale H2 supply in regions with high solar direct normal irradiance and existing large-scale pipeline and chemical processing infrastructures able to take advantage of TCH's thermal integration potential. These differences in deployment scale and regional suitability emphasize the complementarity of the three pathways rather than competition, positioning them as mutually reinforcing elements within a diversified hydrogen production portfolio.
The path forward necessitates a coordinated research and development agenda that leverages advances in both fundamental science and engineering. Priorities include the development of multifunctional materials with high selectivity and durability, reactor systems that can maintain performance under fluctuating environmental and load conditions, and scalable architectures that minimize cost while maximizing H2 yield. In parallel, continued innovation in modeling, simulation, and data-driven design will play a critical role in accelerating discovery and de-risking scale-up. Cross-platform learning, where advances in one pathway inform breakthroughs in another, offers a unique advantage in the development of complementary and adaptable hydrogen production solutions.
As global decarbonization goals intensify and renewable H2 emerges as a central energy carrier, enabling a diverse set of production technologies becomes increasingly important. PEC, BioH2, and TCH systems together offer a rich landscape of opportunity—spanning distributed and centralized scales, low- and high-temperature processes, and electrical, biological, and thermal energy inputs that by design are not strongly dependent on grid electricity. By advancing these platforms in parallel, the research community can ensure a resilient, context-sensitive hydrogen supply that meets the demands of H2@scale.
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