Joshua
Jack
*a,
Aidan
Weber
c,
Sara
Bolzman
a and
Stephen
McCord
b
aDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA. E-mail: jdjack@umich.edu; Tel: +1 (734) 764 0452
bGlobal CO2 Initiative, University of Michigan, Ann Arbor, MI 48109, USA
cDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
First published on 16th February 2024
Engineered nanomaterials that catalyze the transformation of waste carbon dioxide (CO2) into value-added products are crucial to mitigate climate change and enable a new circular carbon economy. Gas separations are expected to be a major cost barrier to CO2 conversion scalability, but the importance of feedstock purity is yet to be carefully evaluated in emerging nanotechnologies under environmentally relevant conditions. Here we assessed the performance of state-of-the-art electrocatalytic and bio-electrocatalytic CO2 reduction nanomaterials under a range of influent CO2 concentrations using data from recent publications. We quantitatively compared the activity of various electrocatalysts and discussed interactions at the nano-bio interface. Through this perspective, we developed initial life-cycle assessments and technoeconomic analyses for the integration of CO2 conversion nanotechnologies with natural and engineered systems. Altogether this evaluation can inform innovative nanomaterial design and delivers useful insights towards a sustainable future without waste or pollution.
Environmental significanceBreakthroughs in nanomaterial design are needed to minimize wastes, reuse materials, and promote a new circular economy. Though electrocatalytic and bio-electrocatalytic approaches have shown promise for CO2 upgrading, their performance has largely been demonstrated with high purity gas feedstock that is often not practical or environmentally relevant. As such, new insights are needed to integrate waste CO2 streams with state-of-the-art nanotechnologies. For the first time, we analyzed the importance of gas purity on nanomaterial activity and design. We discuss potential mechanisms for electrocatalyst inactivation, rate limiting steps at the nano-bio interface, and identify challenges in employing nanomaterials in industrial applications. Altogether, this perspective aims to illuminate new interdisciplinary opportunities to advance carbon circularity and environmental science through next-generation nanoscale processes. |
Though promising, the performance and value proposition of these new CO2 conversion nanotechnologies are expected to be inherently tied to the source of waste CO2 feedstock. This source can span the range from the near-infinite but dilute natural atmospheric supply (∼415 ppm) to more concentrated but location specific streams released from ammonia synthesis plants or biorefineries that can be up to 99% (v/v) CO28 [Fig. 2].
Fig. 2 Estimated CO2 separation costs across typical industrial point source and non-point source emission concentrations. Expected CO2 separation costs ($/tonne CO2) versus typical waste CO2 concentrations % (v/v). Emission sources listed in legend where ethanol = ethanol fermentation, ammonia = ammonia synthesis plant, NG wells = natural gas well, coal flue = coal fired power plant flue gas, atmosphere = ambient air, gas flue = natural gas-powered plant flue gas. Interpolation as dotted line. Data obtained from recent publication ref. 8. |
At large, CO2 separation costs are expected to be directly related to the purity of the waste gas stream, with more dilute CO2 sources requiring higher energy inputs and contact areas that directly translate to increased costs.9 As a result, the most concentrated CO2 streams will require the least processing and can theoretically offer the best value proposition for reactive CO2 conversion. For example, bioethanol plant effluent (∼99% (v/v) CO2) could potentially be purified at costs as low as $20–25 per tonne CO2 while more dilute sources like power plant flue gases (10–30% (v/v) CO2) may cost almost two to four times as much ($40–100 per tonne), and exceptionally dilute sources like air (∼420 ppm) may cost almost ten times as much ($300–1000 per tonne, Fig. 2). As the capital and operational expenditures for CO2 separation technologies can be substantial, an ideal scenario might be to avoid or limit gas feed separation in emerging CO2 valorization processes. In-line with this idea, some have begun to test dilute sources of CO2 such as flue gas in electrochemical and bio-electrochemical CO2 conversion nanotechnologies but the impact of gas purity on nanomaterial performance and design has yet to be considered across studies. In this perspective, we conducted a state-of-the-art technical analysis to evaluate the impact of gas purity on CO2 transformation in emerging electrified CO2 conversion processes. We identify suitable nanomaterials for dilute gas conditions, analyze CO2 conversion mechanisms at the nano-bio interface, and discuss opportunities to improve the economic viability of employing these technologies in large-scale industrial applications. Through this wide-ranging evaluation, we provide comparative life-cycle assessment and technoeconomic analysis calculations for CO2 conversion and illuminate bottlenecks in process design and operation, guiding future nanomaterial research and development.
CO2(abs) + H+ + e− → COOH(abs) | (1) |
COOH(abs) + e− → COabs + OH− | (2) |
Fig. 3 Overview of state-of-the-art nanomaterials employed for electrocatalytic CO2 reduction using dilute CO2 gas feedstock. Transmission electron microscopy image of porous nitrogen doped carbon material from wheat flour substrate, reproduced from ref. 23 with permission of Elsevier publishers, Copyright 2017 (A). Imine-nitrogen doped carbon nanotubes used for the electrocatalytic reduction of flue gases, reproduced from ref. 24 with permission of Wiley publishers, Copyright 2021 (B). Fabrication method for single-atom decorated N-doped carbon catalysts based on multivariate metal–organic frameworks, reproduced from ref. 21 with permission of Wiley publishers, Copyright 2020 (C). Synthesis of bimetallic copper–palladium nanoalloys, reproduced from ref. 25 with permission of American Chemical Society publishers, Copyright 2018 (D). Depiction of CO2 reduction pathway to CO using single-atom decorated N-doped carbon catalysts, reproduced from ref. 21with permission of Wiley publishers, Copyright 2020 (E). |
Fig. 4 Summary of reported performance metrics for abiotic electrocatalytic CO2 conversion nanomaterials across various feedstock purity. Reported partial current density for CO formation (JCO) vs. influent CO2 concentration by percent volume, balanced with inert gas (i.e. argon). (A) Faradic efficiencies for CO formation (FECO) vs. influent CO2 concentration used by percent volume, balanced with inert gas. (B) Detailed performance impact on current densities (C) and faradaic efficiencies (D) using different electrocatalysts and reactor designs at various influent CO2 concentrations. Relative performance drop under dilute gas conditions listed as percentage above data bars. Electrocatalyst material abbreviations defined as follows: Co-Typ-C = cobalt terpyridine on carbon, Ag El = silver nanoparticles in electrolyzer, NCNT-NH3-800 = imine-nitrogen-doped carbon nanotubes prepared under NH3 at 800 °C, Ni–N–C = single atom nickel on nitrogen doped carbon. Data adapted from recent publications ref. 21, 23–25 and 34–36. |
Rates of CO2 conversion seem to be heavily reliant on the composition of the influent gas feedstock [Fig. 4]. For instance, when utilizing a high purity CO2 blend of 99% (v/v), an Ag nanoparticle catalyst achieved a partial current density of 52 mA cm−2 compared to just 28 mA cm−2 when using a much more dilute CO2 blend of 10% (v/v) [Fig. 4A]. This aligns with expected behavior, as a higher reactant concentration in the feed should lead to a higher reaction rate, and thus a higher partial current density for CO formation. Notably, the severity of the performance decline under dilute gases seems to be strongly correlated with the reactor architecture used for electrolysis. While using a flow cell fitted with gas diffusion electrodes (GDEs), the decrease in reported current densities between operating with 99% (v/v) CO2 and 20% (v/v) CO2 was only 25%. In comparison, a nearly 80% drop was reported when using an H-cell reactor under similar conditions [Fig. 4C]. This is likely because the triple phase boundary layer offered by GDEs allows for CO2 to be better dispersed and utilized across the electrode surface.26 In addition, CO2 is sparingly soluble in water, presenting kinetic challenges in H-cell reactors that rely on dissolved CO2.27 Similar to reactor architecture, the intrinsic properties of the electrode nanomaterials also seem to play a large role in the current densities observed for CO formation. For instance, Ni–N–C catalysts were reported to experience around a 90% drop in current density when operating in 15% (v/v) CO2 rather than 99% (v/v) CO2, while in a separate study comparable NCNT-NH3 catalysts experienced just a ∼60% drop in current density across similar conditions [Fig. 4B]. Though these materials are alike in composition, the disparity in their catalytic activity under dilute CO2 conditions may stem from differences in their nano-morphology, availability of active sites, relative binding affinities for CO2-RR intermediates, and microenvironments surrounding surface N-atoms on the carbon matrix. This highlights the importance of careful nanomaterial design in achieving high rates of CO2 conversion.
Interestingly, the FEs (i.e. selectivity) of the electrocatalysts seem to be far less sensitive to the composition of the feed gas. For example, similar FEs were reported for each catalyst material when operating with 99, 20, and 15% (v/v) CO2 as the average slope of the line of best fit across all studies was <1%. This implies that for every 1% increase in CO2 concentration in the feed there was a near negligible 0.1% increase in average FEs for CO production with a given catalyst material [Fig. 4B]. This data is promising as FEs seem to be highly dependent on the nanomaterial properties rather than the CO2 concentration of the feed gas. This is further illustrated by the observation that the drop in FEs across all catalysts were between 5% and 16% when operating in dilute CO2 blends of 15% and 20% (v/v) rather than 99% (v/v) [Fig. 4D]. Altogether these relationships suggest that a high purity CO2 feedstock may not be an absolute prerequisite for attaining high CO2 conversion efficiencies.
Though this data is encouraging, several challenges of operating with dilute CO2 gas streams should be considered. These include the competitive hydrogen evolution reaction (HER) and oxygen reduction reaction (ORR) that can impact CO2-RR selectivity as well as toxic impurities in the feed gas that can cause catalyst poisoning and deactivation. As noted in several works, low concentrations of CO2 in the gas feed may enable greater selectivity for the HER that occurs at similar redox potentials.21 For instance, Kim et al. (2021) recently noted that H2 evolution sharply increased when operating an Ag catalyst in 0.1 atm CO2 rather than a higher purity gas feed containing 1 atm CO2.28 Mechanistically, this is likely because the lack of surface-adsorbed CO2 under dilute CO2 feedstock enables active sites to be used for H2 production rather than the CO2-RR. Future studies may be able to address this issue by fine tuning the active sites on the nanomaterials to have a higher binding energy for *H adsorption, making the Volmer step of the HER (eqn (3)) more difficult to initiate.29 Likewise, permselective coatings may be used at the cathode to repel HER reactants, while allowing the passage of CO2 to the electrode surface.
H+ + e− → H(ads) | (3) |
To date, an extensive portfolio of products (e.g. C2–C6 carboxylic acids, alcohols) has been demonstrated using MES, however, acetate remains the most common end-product and presents one of the most feasible options for full-scale deployment.44 This is because the production of acetate through the WLP is one of the most energy efficient carbon fixation mechanisms as it avoids the majority of ATP-consuming reactions by combining endergonic reactions with other non-ATP consuming exergonic reactions.45 At large, incorporating microbes as active CO2 conversion catalysts offers several advantages over abiotic processes including 1) highly selective synthesis of large chain organics, 2) robust operational stability, 3) exceptional process flexibility across various pH, temperatures, and pressures, and 4) low operational costs owing to the self-replicating nature of microbes that avoids the need for expensive catalyst replacement (e.g. precious metals).
Contrary to these key benefits, MES processes have routinely been challenged by low production rates due to the limited conductivity and surface area of the electrodes used to culture microbes.46 Over the last decade, researchers have tested a variety of carbonaceous, metallic, and composite carbon-metallic nanomaterials to accelerate catalytic activity at the electrode-microbial interface.47 In general, MES cathodes must possess low CO2 mass transfer resistance as well as high surface area, chemical stability, and biocompatibility for optimal performance. Recently, highly conductive metals such as iron,48 nickel,49 rubidium,50 platinum,51 gold,52 and molybdenum,53 have been tested as MES cathodes but have generally shown poor corrosion resistance in microbial media-electrolytes, leading to metal leaching into the surrounding solution that can inhibit microbial growth and metabolic activities.6 Similar challenges have also been a concern when using metal nanomaterials (e.g. nickel nanowires,54 Fe2O355) deposited on carbon electrodes as MES cathodes.56 As such, carbonaceous materials have been the most popular class of MES cathode materials owing to their high specific surface areas, excellent chemical stability, and low-cost. These include 2D planar structures such as carbon cloths57 as well as porous 3D materials such as carbon foam,58 felts,59 and brushes.60 Moreover, some have recently begun to coat carbon substrates (2D or 3D) with additional carbon nanomaterials such as graphene7 or nanotubes61 that can lead to higher surface areas for microbial attachment and improved electrical conductivities. For instance, cathodes made of multiwalled carbon nanotubes deposited onto reticulated vitreous carbon achieved some of the highest current densities (200 A m−2) and acetate production rates (1330 g m−2 per day) reported to date.62
Though innovations in nanomaterial design have led to significant improvements in MES production rates and scalability, the added cost of feed gas separation may drag the overall value proposition of MES technologies. Fig. 5 summarizes the performance of various MES studies that have tested dilute CO2 feedstock as a carbon source. Distinct from abiotic catalysts, living biocatalysts can maintain similar CO2 conversion rates and selectivity across a wide range of influent CO2 purity [Fig. 5]. High coulombic efficiencies (CE) for acetate production were reported across the various CO2 blends examined [Fig. 5A]. For instance, when using reticulated vitreous carbon nanotube (RVC-NT) cathodes the reported drop in CE was only ∼2% when operating in 30% (v/v) CO2 rather than the ideal 99% (v/v) CO2 feedstock. Likewise, carbon/graphite cathodes enabled CEs of around 80–100% regardless of CO2 purity. This partly may be because microbes can scavenge even small quantities of CO2 from their environments,63,64 leading to similar metabolic efficiencies regardless of the initial amount of CO2 that is available to them beyond a certain threshold. In addition, many of these studies used enriched cultures in combination with chemical additions (i.e. 2-bromoethanesulfonic acid) to prevent methanogenesis, which may have further enhanced CEs for acetate production via acetogenesis. Analogous to CEs, comparable current densities and production rates were also observed across the range of influent gas blends used for MES [Fig. 5B and D]. For example, RVC-NT electrodes achieved similar current densities around 35 A m−2, regardless if the feed gas contained 30% or 99% (v/v) CO2 [Fig. 5B]. In most cases, corresponding trends were also observed for the concomitant acetate production rates. For instance, similar acetate synthesis rates (ca. 11–16 g m−2 per day) were observed using gas diffusion (GD) electrodes with CO2 feedstock concentrations of 20 or 80% (v/v) CO2 [Fig. 5D]. Taken together, this indicates that CO2 availability may not be a primary limitation in microbial electron consumption or productivity in many MES studies.
Fig. 5 Summary of reported microbial electrosynthesis performance metrics using various CO2 gas blends and nanomaterials. Coulombic efficiency for acetate production (A) average cathodic current density (B) applied cathodic voltage versus reversible hydrogen electrode (RHE) (C) and maximum acetate production rates observed (D) versus influent CO2 feed purity % (v/v). Cathode material acronyms: carbon/graphite (C/G), reticulated vitreous carbon nanotubes (RVC-NT), gas-diffusion (GD) electrodes. Data adapted from recent MES publications.62,67,73–76 |
Interestingly, increasing the applied cathode voltage does not seem to lead to higher production rates under dilute CO2 gas blends. For example, under 10% (v/v) CO2 a carbon felt cathode operated at −0.82 V vs. RHE attained one of the lowest production rates of 19 g m−2 d−1 while a graphite plate cathode using less than half of the applied voltage (−0.39 V vs. RHE) achieved a production rate nearly three times as high (60 g m−2 d−1, Fig. 5C). Conventionally it would be expected that the surplus of reducing power offered at higher voltages would enable more rapid production of organics. This would especially be the case in operating potentials beyond the HER. However, it is likely that the limited surface area available to the bacteria and the slow rates of extracellular electron transfer at the electrode surface were major bottlenecks to CO2 conversion rather than a lack of sufficient reducing equivalents. This is evident as the RVC-NT cathodes that have a very high surface area (3902 m2 m−3 electrode) for microbial attachment achieved 2–10 times higher average current densities than alternative cathode materials [Fig. 5B].
Though mechanisms can be difficult to discern due to a lack of standardized reporting metrics, reactor culturing techniques, and microbial communities, the data that is available so far points to the promising ability of MES processes to achieve consistent CO2 conversion rates, electron exchange, and product selectivity, irrespective of gas feed purity. Still, several important factors must be accounted for when operating with dilute waste gases including the impact of non-innocent gaseous constituents as well as possible reactions that can compete with the CO2-RR. In many industrial waste gases like coal power plant flue gas, O2 can be a notable constituent ranging from 5–14% (v/v).65 MES primarily relies on anaerobic bacteria to conduct CO2 conversion, many of which are highly sensitive to oxygen exposure and can become inactive even at low O2 pressures.66 As such, the presence of O2 in the gas feed could significantly reduce MES CO2 conversion rates and productivities, especially when operating with pure cultures that are strict anaerobes. A potential solution could be to operate MES reactors with mixed cultures of bacteria that can leverage synergistic metabolisms for enhanced process stability. For instance, Roy et al. (2021) found that a genus of microaerophilic bacteria, Sulfurospirillum, can scavenge trace amounts of O2 and help maintain anaerobic conditions in MES reactors.67 However, this species can also oxidize acetate using O2 as an electron acceptor potentially reducing CO2-RR rates and titers. Still, if alternative organics such as aliphatic or aromatic hydrocarbons are available in the waste gas feed, bacteria such as Pseudomonas may be able to use these compounds as electron donors with the concurrent reduction of O2 as noted by researchers when operating an MES reactor with brewery waste gas.67 Nevertheless, more studies on this topic are needed as hydrocarbons and other volatile organic compounds could potentially be toxic to acetogenic bacteria used for CO2 conversion. Moreover, similar microbial dynamics may impact the removal of other non-innocent compounds like SO2 and NOX that are routinely found in industrial waste gases like coal power plant flue gas.68 For instance, sulfate reducing bacteria (SRB) such as Desulfovibrio desulfuricans69 could potentially be used to remove SO2 from MES biocathodes. However, these microbes would likely need to be supplied additional carbon and energy sources as to not impact the overall CO2-RR rates and efficiencies towards desired products. Likewise, denitrifying bacteria could be used to remove NOx from the MES cathode through microbial denitrification (i.e. NO3 → NO2 → NO → N2O → N2) but this would require strict anaerobic conditions, presenting significant compatibility issues with waste gas streams that contain high levels of oxygen.70 Nevertheless, some have reported the existence of aerobic denitrifying bacteria such as Pseudomonas aeruginosa that may be useful for NOx removal from waste gases that contain oxygen.71
As engineering an optimal MES microbiome may be a complex task, a more elegant approach to improve MES compatibility with waste gas blends may be to develop new porous 3D electrode nanomaterials. As found with carbon foam, the inner pores of these structures can allow microbes to colonize areas separated from the bulk aqueous phase solution.72 This could potentially shield microbes from non-innocent gas constituents that are transported from the dissolved bulk liquid to the electrode surface and mitigate competitive reaction pathways like the ORR. Nevertheless, these shielding effects may also decrease CO2 diffusion to the microbes and the overall rate of CO2 conversion. As such, new nanomaterials should be carefully designed to provide both improved microbial protection and adequate CO2 delivery for product formation.
To better understand these relationships, production costs of various feed gas scenarios were estimated using performance metrics from recent literature [Fig. 6]. When analyzing electrocatalytic CO2 conversion processes, representative performance values were selected for Ag nanoparticle electrodes35 as these electrocatalysts show excellent potential for scale-up owing to their high current densities and CO2-RR selectivity. The total production costs were taken as the sum of the estimated energy costs required to produce a kg of CO2-derived product and the accompanying separation costs to provide the associated mass of initial CO2 feedstock [calcs. in ESI† 1.0]. Notably, capital costs for the electrolyzer and separation units were considered outside the scope of this preliminary analysis. Initial calculations were based on the scenario that a waste gas stream containing 20% (v/v) CO2 could be used without pretreatment for CO2 conversion [20% CO2 scenario, Fig. 6]. This scenario is feasible as coal-fired power plants, industrial cement plants, and steel mills can frequently emit flue gases containing 15–30% (v/v) CO2.77,78 As such, the estimated 324 coal-fired power plants in the U.S. could potentially provide around 1200 MMT of waste CO2 feedstock per year for CO2 conversion.8 In a second scenario, a high purity gas stream of 99% (v/v) CO2 was presumed to be available for direct use without upstream separation [99% CO2 scenario, Fig. 6]. This could be practical in CO2 conversion sites located near industrial bioethanol fermentation or ammonia synthesis plants that typically emit concentrated gas streams containing 95–99% (v/v) CO2.8 Finally, a third scenario was considered where a waste gas stream containing 20% (v/v) CO2 might be available from an industrial point source (e.g. cement plant) and upgraded on-site using a monoethanolamine (MEA) CO2 separation unit to produce a purified 99% (v/v) CO2 feedstock for subsequent conversion [20% CO2 + MEA, Fig. 6]. Accordingly, the integration of CO2 capture followed by electrified CO2 upgrading has long been envisioned as the status quo for CO2 conversion devices.
Fig. 6 Estimated production costs and carbon footprint of electrified CO2 conversion under different waste gas feedstock scenarios. Production costs ($ per kg CO) (A) and carbon footprint (kg CO2 eq. kg−1 CO formed) for electrochemical CO2 conversion to CO (B). Production costs ($ per kg acetate) (C) and carbon footprint (kg CO2 eq. kg−1 acetate formed) for bio-electrocatalytic CO2 conversion to acetate (D). Feedstock scenarios defined as raw 20% (v/v) CO2 purity feed without separation (20% CO2), raw 99% (v/v) CO2 purity feed without separation (99% CO2), and raw 20% CO2 (v/v) upgraded to 99% (v/v) CO2 using standard monoethanolamine (MEA) CO2 separation. For bio-electrocatalytic studies, 30% (v/v) CO2 was used for dilute gas scenarios. Power source acronyms defined in Table S3.† |
While analyzing each scenario, energy costs were expected to be a major barrier to scalability and will likely be highly dependent on source, location, availability, and existing governmental policies/incentives.79 As such, approximate costs of CO2 conversion were calculated using levelized costs of energy (LCOE) from a recent U.S. Energy Information Administration (EIA) report.80 As expected, production costs were highly sensitive to the type of energy source used [Fig. 6]. For instance, if converting a 20% (v/v) CO2 feedstock to CO with a fossil fuel energy source like coal, estimated production costs could be as high as $0.66 per kg CO compared to just $0.23 per kg CO when using a renewable energy source like solar photovoltaics (PV). Though price differences could be further bolstered by additional tax incentives, this highlights the tremendous opportunity to leverage low-cost renewable energy for CO2 conversion. Notably, operating with a highly concentrated CO2 source (i.e. 99% (v/v)) without upstream separation may offer even lower production costs ranging from $0.14–0.23 per kg CO [Fig. 6]. Still, these prices are 2–3 times higher than current fossil fuel-based production methods,81 emphasizing the need to develop innovative nanomaterials that can lower energy demands (i.e. overpotentials) of electrochemical CO2 conversion. Correspondingly, the 20% CO2 (v/v) + MEA scenario yielded the highest CO production costs ranging between $0.44–1.63 per kg CO owing to expensive CO2 separations. This suggests that purifying the 20% (v/v) CO2 waste gas stream to a 99% (v/v) CO2 feedstock would yield an 58% increase in CO production costs but only a 28% increase in CO production rates [Fig. 4 and 6]. Altogether, this underscores the potential benefits of avoiding expensive CO2 separation processes and operating electrified CO2 conversion devices with raw waste gas blends, even with existing nanomaterials.
Similar to electrocatalytic processes, acetate production costs were estimated for a pilot scale bio-electrocatalytic CO2 conversion plant. Performance metrics were based on RVC-NT cathodes,62 which have shown amongst the highest acetate production rates of any MES study to date and have outstanding potential for scale-up [Fig. 6]. Due to the availability of published data, this analysis was structured around a 30% (v/v) CO2 stream rather than the 20% (v/v) CO2 feed used for the electrocatalytic scenarios. As expected, similar trends in production costs were found with bio-electrocatalytic processes as with the abiotic processes across different energy sources. However, the production costs of the bio-electrocatalytic devices seemed to be far less impacted by gas feed composition, owing to their relatively stable performance in dilute gas streams. For instance, the average acetate production costs using on-shore wind energy were around $0.26 per kg acetate when operating with either raw 30% (v/v) or 99% (v/v) CO2 [Fig. 6]. In contrast, the price gap was predicted to be around 34% different when operating abiotic processes under similar conditions. At large, this showcases the potential advantages of employing biocatalysts that are far less sensitive to gas feed composition for CO2 conversion. Nevertheless, the average production costs ($0.86 per kg acetate) may be around 52% higher than current industrial acetate production methods82 if using an MEA separation unit for gas pretreatment [30% CO2 + MEA]. This scenario might be the case in operations that seek to maximize productivities and process stability. As such, new cathode nanomaterials are needed to improve production rates and lower energy demands in waste gas streams in order for bio-electrocatalytic processes to be competitive with existing methods at an industrial scale.
Complementing production cost estimates, the projected carbon footprint for each feedstock scenario was calculated for both electrocatalytic and bio-electrocatalytic CO2 conversion methods [Fig. 6B and D]. Briefly, the carbon intensity of each energy source and the emission rates for a typical MEA separation unit were estimated using a current Intergovernmental Panel on Climate Change (IPCC) Report on Carbon Dioxide Capture and Storage83 [calcs. in ESI† 2.0]. Overall, these calculations accounted for emissions from both the energy used for CO2 conversion and power required for initial CO2 feedstock separation while other emissions were considered outside the scope of this analysis. As expected, the carbon footprint of each process was highly dependent on the energy source used for CO2 conversion with the most sustainable scenarios being those where renewable energy could easily be accessed. For instance, using a raw 20% (v/v) CO2 blend for electrocatalytic CO production yielded a carbon footprint of 4.7 kg CO2 eq. per kg CO when using coal-derived electricity versus just 0.27 kg CO2 e per kg CO when using electricity generated from solar PV. Notably, the addition of a CO2 separation unit significantly increased the estimated carbon footprint for both CO2 conversion approaches. As an example, if using coal-derived electricity with an integrated MEA separation unit, the carbon emissions could be as high as 8.64 kg CO2 eq. per kg CO, marking a 59% increase in emissions compared to the scenario where the separation process was omitted [i.e. 20% CO2 scenario, Fig. 6]. Likewise, integration of the MEA separation unit with the bio-electrocatalytic process yielded a nearly 65% increase in emissions compared to the scenario without feedstock pretreatment. Importantly, the case where a high purity 99% (v/v) CO2 blend could be used directly offered some of the lowest carbon footprints available. For example, using the raw 99% (v/v) CO2 blend for acetate production with solar PV delivered an estimated carbon footprint of just 0.26 kg CO2 eq. per kg acetate which is much lower than current petrochemical based production methods (∼1 kg CO2 eq. per kg acetate).84 As such, the most competitive approach in terms of cost and environmental sustainability would be to use a raw 99% (v/v) CO2 blend without feedstock separation combined with a renewable energy source like solar PV or onshore wind. Still, a scenario where renewable energy is readily available alongside a high purity CO2 emission source may be rare and prove difficult to utilize at meaningful production scales. Accordingly, the widespread adoption of emerging carbon cycling technologies will demand new nanomaterials that cannot only improve present energy efficiencies and production rates under ideal feedstock scenarios but also enable stable CO2 conversion using a wide range of industrial waste gas emissions.
Through this study, the rates of electrocatalytic CO2-RR showed a considerable dependence on feedstock purity that was correlated with reactor architecture and electrocatalyst design. Though high selectivity can still be achieved under dilute CO2 feedstock, new engineered nanomaterials that can attain low overpotentials and high turnover frequencies are needed to realize scalable CO2 conversion under low CO2 pressures. Other challenges include the presence of non-innocent compounds and particles that can lower CO2-RR efficiencies or cause catalyst poisoning. Key approaches to address these challenges may include the development of new catalyst materials with surface active sites that are highly selective for the CO2-RR but resistant to side reactions such as the HER or ORR. Regardless of CO2 feedstock composition, these are highly desirable attributes and should be a strong focus of future nanomaterial studies. In addition, more work is needed to address issues stemming from catalyst poisoning by common constituents of waste gas feedstock that can be chemically active including NOX and SOX. Accordingly, the mechanisms for catalyst poisoning should be systematically studied with these constituents (and others) on various CO2-RR nanomaterials to guide future catalyst design for improved waste gas compatibility. This iterative process could be accelerated using new machine learning approaches that combine DFT models with material science libraries to predict catalyst designs with desirable properties.86 Once optimal catalysts have been identified, approaches such as permselective coatings may be applied overtop of the CO2-RR catalysts to block impurities while allowing efficient transfer of reactants (i.e. CO2) to the electrode interface. Similar methods have already been applied in seawater electrolysis using MnOx protective layers over IrOx catalysts.87 Furthermore, the surface charge or electronic state of the CO2-RR catalysts can be adjusted to repel non-innocent compounds by adding co-catalysts or polymers directly to the catalyst inks.88 This strategy has proven effective when adding imidazolium polymers during CO2-RR catalyst preparation to mitigate the HER.27
Aside from abiotic methods, bio-electrocatalytic CO2 conversion processes seem to be able to achieve stable current densities and CO2-RR selectivity across a wide range of feed gas purity. This performance may even translate to atmospheric CO2 concentrations but further studies are needed to evaluate this scenario. In addition, new nanomaterials are required to improve the rates of the CO2-RR that are currently limited by the usable surface area and electrical conductivity of the biocathodes. Additional work is also needed to assess the impact of non-innocent reactants such as oxygen that may be present in waste feed gases at significant concentrations. As microbiome engineering may be an important strategy to improve MES stability under waste gases, the identity and ecological role of individual microbial species needs to be further elucidated under these conditions. Specifically, parameters such as waste gas tolerance, CO2 fixation pathway, and desired gene expression profile could be fed into machine learning algorithms trained on biological databases to help identify suitable microbial strains and communities for waste CO2 valorization.89 In combination with this approach, the development of new porous 3D electrodes that can potentially shelter microbes from harmful gases may also be useful in improving production efficiencies. These 3D porous electrodes could be used in conjunction with permselective coatings that block non-innocent compounds from entering the inner pores while allowing efficient CO2 mass transport to the biocatalyst surfaces. Similarly, innovative cytoprotective layers that can be deposited onto the surface of individual microorganisms may also be a valuable tool to protect biocatalysts from waste gas constituents. This approach has been effective in protecting bacteria from reactive oxygen species in photocatalytic CO2 conversion processes90 and could easily be adapted to MES. Looking ahead, there has been an increasing focus on developing reactive CO2 capture (RCC) processes that aim to directly convert captured CO2 into products without an intermediate step where CO2 is released from the initial CO2 capture unit.91 Though still in its infancy, RCC technologies could potentially provide new opportunities for electrified waste gas CO2 conversion. Nevertheless, gas separations are expected to be a major economic and environmental burden to CO2 conversion processes, across many of the most promising conversion technologies. As such, the rapid development of new highly stable and active engineered nanomaterials will be crucial in achieving scalable waste CO2 conversion as part of a future net-zero economy.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3en00912b |
This journal is © The Royal Society of Chemistry 2024 |