Jacob H.
Miller
*a,
Mayadhin
Al Abri
a,
Jim
Stunkel
a,
Andrew J.
Koehler
a,
Matthew R.
Wiatrowski
a,
Robert L.
McCormick
b,
Gina
Fioroni
b,
Jon
Luecke
b,
Cheyenne
Paeper
a and
Martha
Arellano-Treviño
a
aCatalytic Carbon Transformation and Scale-Up Center, National Renewable Energy Laboratory, Golden, CO, USA. E-mail: jacob.miller@nrel.gov
bCenter for Integrated Mobility Sciences, National Renewable Energy Laboratory, Golden, CO, USA
First published on 12th June 2024
We develop a catalytic process comprising exclusively of flow reactions for conversion of wet waste-derived volatile fatty acids to sustainable aviation fuel (SAF) and key aromatic building blocks (benzene, toluene, ethylbenzene, and xylene; BTEX). Acids are upgraded via sequential ketonization and either cyclization of light (C3–7) ketones to BTEX and an aromatic SAF blendstock or hydrodeoxygenation of C8+ ketones to an alkane SAF blendstock. The enabling step investigated in this work is light ketone cyclization over H/ZSM-5, which was chosen through screening upgrading of 4-heptanone over solid acidic and basic catalysts. We then determined the reaction network of 4-heptanone upgrading by analyzing selectivity trends with conversion and concluded that the reaction should be run at full conversion. Finally, we demonstrated the entire acid upgrading process by converting commercial food waste-derived carboxylic acids to SAF blendstocks and BTEX. We blended the C9+ aromatic and alkane products to create one SAF blendstock and show that this mixture can be blended 50/50 with Jet A and meet all critical property standards. Techno-economic analysis and life cycle assessment show that utilizing a food waste feedstock for the process can be economically feasible with current policy incentives and reduce greenhouse gas emissions by more than 250%.
Broader contextBiomass and waste carbon resource upgrading must play a role in our decarbonized future to replace petroleum-derived fuels and chemicals used in critical functions such as aviation and materials. The U.S. Department of Energy highlighted this recently in their release of the “Clean Fuels & Products Earthshot,” which aims for 100% decarbonization of aviation fuel, 50% decarbonization of maritime, rail, and off-road fuels, and 50% decarbonization of carbon-based chemicals by 2050, eliminating 650 million metric tons of CO2 emissions annually in the USA alone. The pathway we present here addresses both vital applications, as products consist of both fuels and chemicals, and it is developed through a fundamental study of internal ketone upgrading on H/ZSM-5. The work presented in this paper shows the important role that wet waste upgrading can play in decarbonizing the aviation and chemical industries. |
Valorization of carboxylic acids (also known as volatile fatty acids, or VFAs) to SAF was previously demonstrated by our group using a multi-step approach.7 The carboxylic acids were first ketonized over ZrO2. Then, C8+ ketones were hydrotreated to alkanes over Pt/Al2O3 to form mostly n-alkanes, while C3–7 ketones underwent aldol condensation over niobic acid followed by hydrotreatment over Pt/Al2O3 to form branched and cyclic alkanes. All steps were run in continuous reactors besides aldol condensation, which was performed in stirred batch reactors. We seek in this work to find a continuous process for valorization of light ketones, as continuous processes scale more effectively than batch processes.
Previous work has shown that many catalysts including MgZrOx,12 TiO2,13,14 ZrO2,14 Mg6Al2O9,15,16 and Cu/ZrO217 can couple light ketones to form jet-range molecules. However, most work over these catalysts has been focused on methyl ketones, with Sun et al.12 specifically noting that catalyst activity for coupling of internal ketones (that is, ketones with both alkyl chains possessing two or more carbon atoms) was negligible compared to methyl or cyclic ketones, with most observed internal ketone conversion occurring via reactions of internal ketones with methyl or cyclic ketones or aldehydes in batch reactions over MgZrOx. Thus, conversion of internal ketones is a significant challenge. The light ketone feedstocks we seek to valorize in this work consist primarily of internal ketones. For example, a fermentation process under development at NREL produces purely butyric acid (ketonization product: 4-heptanone),18–20 while light ketones derived from mixtures of VFAs such as those considered in this paper contain >70% (C mol basis) internal ketones. Zeolites, however, particularly H/ZSM-5, have been shown to convert mixtures of acids or ketones to hydrocarbons at 350–450 °C, although reactions generally form mixtures of approximately equal amounts of aromatic hydrocarbons and light (C1–6) alkanes or alkenes.21–26 Out of these mixtures, light hydrocarbons and aromatics of carbon numbers lower than eight are not well suited as SAF blendstocks, although C6–8 BTEX aromatics can be utilized as valuable chemical precursors.
In this work, we seek to develop a continuous catalytic process for converting 4-heptanone, a model internal ketone, to a SAF blendstock by first screening reactions over multiple solid acidic and basic catalysts. We down-select H/ZSM-5 and study the products and reaction network for 4-heptanone upgrading, showing that optimal value can be derived from the reaction by running it at full conversion. Next, we demonstrate that catalyst deactivation can be mitigated by regeneration in air and that butyric acid deactivates the catalyst much more rapidly than 4-heptanone. We then upgrade a mixture of commercial, food waste-derived carboxylic acids to aromatic and alkane SAF blendstocks and BTEX in a catalytic process that incorporates light ketone upgrading over H/ZSM-5. We combine the SAF blendstocks to create a blend which meets the minimum 8 vol% aromatic requirement for finished synthetic aviation turbine fuels.27 Finally, we show that the 8 vol% aromatic SAF blendstock formed in this process can meet critical aviation fuel properties in a 50/50 (vol/vol) blend with Jet A and that the process makes sustainably-sourced aviation fuel and BTEX from food waste, resulting in a 268% reduction in life cycle greenhouse gas (GHG) emissions. With the inclusion of policy incentives, this approach can be economically competitive with petroleum jet fuel, demonstrating a minimum jet selling price (MJSP) of $2.30 per gal.
4-Heptanone (98%, Sigma-Aldrich), butyric acid (≥99%, Sigma-Aldrich), and a food waste-derived mixture of carboxylic acid salts (ChainCraft, “Mixture of short and medium chain fatty acid sodium salts”) were used as reactants in this work. ChainCraft salts were converted to proton form by mixing with hydrochloric acid (Fisher Scientific, 12.1 M; HCl:acid salt molar ratio: 1:1.1) in a glass beaker, vacuum filtration of the two-phase mixture using an 11 μm filter (Whatman #1), extraction of the organic layer (a translucent, brown liquid) in a separatory funnel, and spinning-band distillation to remove residual solids, resulting in a clear liquid. Carboxylic acids boiling off between 110–170 °C constituted light acids, while acids boiling between 170–240 °C constituted heavy acids.
Reactions were performed in a Dursan-coated (SilcoTek Coating Co.) stainless steel clamshell-heated packed-bed reactor described previously,28 with all catalyst and reaction condition evaluation reactions taking place in a 4.7 × 10−3 m ID reactor and ChainCraft acid upgrading reactions taking place in a 1.0 × 10−2 m ID reactor. Gases were fed using mass flow controllers from Brooks Instruments, while liquids were combined using a high-pressure liquid chromatography (HPLC) pump from Chromtech and then vaporized in a heated inlet (200 °C). Helium (Matheson Gas, 99.999%) was used as a sweep gas. Liquid consumption was measured by placing liquid reservoirs on mass balances (Mettler Toledo) and monitoring mass changes over time. The reaction mixture was passed through a catalyst bed containing 0.1–5.0 g catalyst (pelletized, crushed, and sieved to particle sizes between 150 and 600 μm) supported by plugs of glass wool and, in 1.0 × 10−2 m ID reactors, bed packings of 1 mm untreated glass beads (BioSpec Products) held in place by a plug of glass wool (Ohio Valley Specialty). Temperature was monitored via a concentric thermocouple (Omega) placed inside the catalyst bed. Reactor effluents were condensed in a liquid-cooled heat exchanger (2 °C) and collected periodically (every 4–24 hours) from a knockout pot. Gaseous products were monitored inline using an Agilent 6890 gas chromatograph equipped with a thermal conductivity detector, while liquid products collected from the knockout pot were quantified using a separate Agilent 7890A gas chromatograph equipped with a 5975C mass spectrometer and a PolyARC quantitative carbon detector (Activated Research Company). The reactor system is equipped with robust process monitoring which tracks system pressure, temperature, and possible leakages and shuts the system down in the case of deviations from expected conditions, ensuring operator safety.
Carbon balances (CB) were measured according to the formula:
(1) |
(2) |
(3) |
(4) |
Heteroatom impurity content of fuels, intermediates, and catalysts was determined via inductively couple plasma optical emission spectroscopy (ICP-OES) as detailed in Section S2 (ESI†). Quantification of halogen and nitrogen content (via chemiluminescence) was performed by Hazen Research, Inc. A thermal regeneration procedure for spent H/ZSM-5 was developed via thermogravimetric analysis (TGA) using a Setaram Setsys Evolution instrument, with details described in Section S2 (ESI†).
Fuel properties of the final 50/50 (vol/vol) mixture of SAF blendstock and Jet A were measured using ASTM standard methods. These properties include distillation (via simulated distillation), flash point, viscosity at −20 and −40 °C, density at 15 °C, surface tension at 20 °C, freezing point, lower heating value (via higher heating value and hydrogen weight fraction), and cetane number. Details of the ASTM methods used for these measurements are described in Section S2 (ESI†). The Jet A sample was obtained from a petroleum refiner and has properties that are in the typical range for jet fuel based on the CRC World Fuel Sampling Program survey (Table S5, ESI†).34
We evaluated the economic feasibility and sustainability of the described process using techno-economic analysis (TEA) and life cycle assessment (LCA), respectively, to assess suitability for commercialization. First, we developed a process model in Aspen Plus representing a full-scale (250 wet ton per day) commercial facility producing fuels and chemicals from food waste. VFAs were produced from food waste via arrested anaerobic digestion, isolated via solvent recovery over a pertractive membrane, and separated into light (C2–C4) and heavy (C5–C8) fractions, which were upgraded in two parallel processing trains. The first train used a ketonization reaction followed by cyclization to upgrade light VFAs (producing SAF, BTEX, and naphtha) while the second train used ketonization followed by hydrodeoxygenation to produce SAF from heavy VFAs. A process flow diagram is shown in Scheme 1, and additional modeling details are provided in the ESI† (Section S3). The mass and energy balances generated from the process model were used to inform a discounted cash flow TEA and an LCA focusing on GHG impact.
The TEA approach is consistent with our previously published studies10,35 and uses a discounted cash flow rate-of-return (DCFROR) model to determine the minimum jet selling price (MJSP) required to obtain a net present value of zero for the plant while supporting a 10% internal rate of return. Baseline equipment costs were originally sourced from vendor quotes or generated using Aspen Capital Cost Estimator36 and were adjusted from the original basis using scaling factors. The details of these equipment designs have been published previously.7,10,35,37,38 Once equipment costs were determined, direct and indirect overhead cost factors were applied to determine a feasibility-level estimate of fixed capital investment (FCI) in 2020 US dollars. These factors are shown in Table S7 (ESI†) along with a summary of capital expenditures for the facility.
Variable operating expenses were calculated based on raw material and utility rates from the process model, while fixed costs (labor, maintenance, insurance, and local taxes, listed in Table S8, ESI†) are based on factors from prior works and adjusted based on plant scale.38 Financial assumptions used in this analysis are shown in Table S9 (ESI†), which are based on a mature nth plant and consistent with prior published works. Policy incentives based on the modeled fuel carbon intensity (CI) were also included as an optional sensitivity study and are described in Table S10 (ESI†). The FCI, operating expenses, fixed costs, and revenues from co-products and policy incentives were used in the DCFROR analysis to assess the MJSP of the envisioned facility.
The cradle-to-gate LCA focused on estimating the greenhouse gas emissions of the process. The functional unit used was 1 MJ of total fuel (including both naphtha and SAF); BTEX chemicals produced were treated as a co-product using the displacement method. The life cycle inventory (LCI) was generated from the process model and assessed using CI values from the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model published by Argonne National Laboratory (CI values for some inputs were obtained from other sources as necessary). The LCA on GHG emissions for the process is summarized in Table S11 (ESI†). Environmental justice aspects of this research and its envisioned application were also evaluated using the JUST-R metrics recently developed by Dutta et al.39 As a part of the JUST-R assessment, life cycle water consumption for the process was also estimated using the same methodology as GHG emissions (Table S12, ESI†).
Fig. 2B shows the product distribution observed at full 4-heptanone conversion averaged over the first five data points shown in Fig. 2A. Carbon number distribution of the products is bimodal—C7–13 products are primarily aromatics, with C8 species having the highest selectivity (23%), while C1–6 products are primarily alkanes, with C4 molecules having the highest selectivity (16%). As noted earlier, selectivity to C9+ jet-range products is substantial (28% over these samples). Furthermore, selectivity to valuable BTEX products is also high (29%), further hinting at the value of this upgrading pathway (vide infra). Since most C7+ products formed in this process are cyclic, we refer to this process as “cyclization”.
Although aromatics are currently a necessary constituent of aviation fuel, eventual elimination of these compounds to decrease formation of soot in the upper atmosphere, among other benefits, is desirable. Soot formation is accelerated by combustion of aromatic rings.40 We eliminated the aromatic rings of the liquid 4-heptanone upgrading products by saturating them over Pd/Al2O3 in the presence of H2 (T = 200 °C, PH2 = 3500 kPa, WHSV = 0.24 h−1). The results of this demonstration, shown in Fig. S2 (ESI†), show that saturation of all molecules is facile and forms primarily cycloalkanes. Thus, products of light ketone upgrading over H/ZSM-5 can also be utilized in future aromatics-free SAF applications.
We assessed the possibility that running 4-heptanone upgrading at sub-complete conversion could create products more applicable to SAF than the products formed at complete conversion by performing first-rank delplot analysis, which entails examining selectivities of major products as a function of reactant conversion.42,43 In this formalism, products with finite selectivity at zero conversion are proven to be primary products (forming via reactions involving the reactant), while products with zero selectivity at this conversion are secondary (forming via reactions involving primary products) or higher-rank products. Additionally, we apply Wojciechowski's criteria44,45 to first-rank delplots to determine product stability. Products are unstable (consumed in subsequent reactions) if selectivity decreases with increasing conversion, while they are stable if selectivity remains constant or increases with increasing conversion. This technique has been utilized to analyze a variety of complex reaction networks.46–51 Two aspects of 4-heptanone upgrading over H-ZSM/5 differentiate it from idealized systems for delplot analysis and are worth acknowledging. First, Movick et al.52 recently illustrated that the delplot technique cannot capture successive steps which occur before a reactive species desorbs from a catalyst surface. Since diffusion limitations inside H/ZSM-5 are significant, some reaction steps may not be observable. Additionally, if active sites on H/ZSM-5 are not uniform and catalyst deactivation (shown in Fig. 2A) effects some active sites more than others, modulation of conversion via catalyst deactivation is not equivalent to modulation via changing catalyst space velocity. In Fig. 3, we plot product selectivities as a function of conversion over seven different reactions; initial conversions during these reactions vary from ∼20% to 100%. Since product selectivities follow the same trends regardless of initial conversion, we conclude that deactivation of active sites on H/ZSM-5 during ketone upgrading is non-selective,53,54 meaning that product selectivity and conversion act as descriptors of reaction network progress regardless of catalyst deactivation. Thus, we can apply Wojciechowski's criteria to first-rank delplots to analyze the reaction network of 4-heptanone upgrading over H/ZSM-5 while acknowledging one limitation: it is possible that some reactions occurring in the catalyst pores may form products which are rapidly consumed in subsequent steps and are undetectable.
Fig. 3 shows first-rank delplots of several significant products categories: (A) dehydration products methylcyclohexene and heptadiene (lumped as they have the same molecular formula, C7H12), (B) C7–9 aromatics (toluene highlighted in orange), (C) C3–5 alkenes (propylene highlighted in orange), and (D) C3–5 alkanes. These species were specifically chosen because they cumulatively comprise the majority (52–86%) of carbon selectivity at all conversions. Analysis of the plots in Fig. 3 and other first-rank delplots allows us to identify which proposed 4-heptanone upgrading pathways in Scheme 2 are occurring. Fig. 3A and C show unambiguously that two of the primary 4-heptanone reaction pathways shown in Scheme 2, dehydration (3A) and cracking (3C), do occur, as the selectivities of C7H12 species and propylene are finite at zero 4-heptanone conversion (ca. 30% and 15%). Furthermore, the selectivity of these species declines with increasing conversion, showing that both C7H12 molecules and propylene are unstable products consumed in subsequent reactions. 4-Propyl 3-heptene, the putative product of C–C bond formation between propylene and either 4-heptanone or a C7H12 species shown in Scheme 2, forms with low selectivity—around 3% at X4-Heptanone = 1%—and is consumed rapidly, with selectivity dropping to 0% past 20% 4-heptanone conversion (data not shown in Fig. 3). Thus, this pathway is occurring, but it is not significant. Finally, no C14 enones are observed at any conversion, showing that the aldol condensation pathway either does not occur or forms intermediates that are too diffusionally constrained to exit the catalyst intact.
Fig. 3 also shows major products of the subsequent reactions that consume primary 4-heptanone reaction products. C7–9 aromatics (Fig. 3B) have close to zero initial selectivity, but this quantity monotonically increases to 35–40% at full 4-heptanone conversion. Similarly, the selectivity of C3–5 alkanes at zero 4-heptanone conversion is close to zero and increases to ∼10% at full 4-heptanone conversion. We identify C7–9 aromatics and C3–5 alkanes as stable secondary products based on this analysis. Since formation of these secondary products depends only on the presence of primary products and not 4-heptanone, it would be expected that they would continue to form even in the absence of 4-heptanone. We show that this is the case in Fig. S3 (ESI†), where selectivity of the species lumps in Fig. 3 is plotted against time on stream during a reaction occurring at 100% 4-heptanone conversion. Despite the fact that 4-heptanone conversion is full, the selectivities of these products evolve with time on stream and display trends which show that the catalyst bed is deactivating. Data points recorded at lower times on stream are thus considered to be at higher “conversion.” This quantity can also be understood as a lower residence time per active site, as the number of active sites is postulated to decrease with increasing time on stream. Significantly, selectivity of C7H12 products and C3–5 alkenes decreases (from 1.2% to 0.4% and 18% to 3%, respectively) as residence time per active site increases (time on stream decreases), while selectivity of C7–9 aromatics and C3–5 alkanes increases (from 40% to 50% and 14% to 33%, respectively) as time on stream decreases from 65 to 15 hours.
We assimilate the data from application of Wojciechowski's criteria to first-rank delplots to formulate a proposed reaction network for 4-heptanone upgrading over H/ZSM-5 (Scheme 3). Many steps in the reaction network including the hydrogen and alkyl transfer reactions between species and deactivation via polyaromatics formation are identical to those seen during methanol upgrading over zeolites as illustrated by Bhan and colleagues.53,55,56 The reaction network provides a plausible explanation for major carbon fluxes in 4-heptanone upgrading. We propose that initial reaction of 4-heptanone occurs via dehydration and formation of a C7H12 species (heptadiene or methylcyclohexene, only one representative isomer of each is shown) or C–C bond scission to form propylene and a C4H8O species (not observed in the reactor effluent). These C7H12 species act as precursors to the pool of aromatic products primarily of carbon number 7–9, as shown in Scheme 3. The hydrogen atoms formed in the aromatization process are proposed to be transferred to oxygenate intermediates or alkenes, as indicated by the green arrows in the scheme. The aromatic molecule with the same carbon number as these C7H12 species is toluene, but Fig. 3B shows that toluene makes up at most 15% of the total C7–9 aromatics species and that it is a secondary, stable product. This suggests that (i) toluene is not formed, desorbed from the zeolite, readsorbed, then subsequently alkylated to higher carbon number aromatics in significant amounts and (ii) carbon chain growth (and cleavage) of aromatic precursor species via alkyl fragments in the zeolite is facile.
We postulate that a pool of light alkane and alkene species forms in parallel to the aromatics pool. Initial fluxes to this pool likely arise from primary cracking of 4-heptanone and subsequent dehydration of oxygen-containing fragments, which both form alkene species. These alkene species interconvert via isomerization and alkyl exchange both within the alkene pool and with the aromatic pool. As discussed above, alkenes are not terminal products—they are hydrogenated to corresponding alkanes via hydrogen transfer, with significant hydrogen flux arising from aromatization reactions. Another source of hydrogen for alkene saturation is growth of polycyclic aromatics from sources within the aromatics pool. This reaction forms carbonaceous coke (not observed in reactor effluents), which we propose causes catalyst deactivation. We will show how this coke can be removed to regenerate the catalyst below.
Analysis of the 4-heptanone upgrading reaction network discussed in this section shows that no alteration of system conversion would make significant amounts of products more suited for SAF applications (carbon numbers closer to 11) than the products formed at full reactant conversion, as the major products formed at sub-complete conversion have similar carbon numbers to those formed at complete conversion. Fig. S4 (ESI†) succinctly illustrates this trend, showing that the average carbon number of products formed at all 4-heptanone conversions is close to seven. We specifically confirmed that primary 4-heptanone reaction pathways hypothesized to form C14 (aldol condensation) or C10 (C–C bond formation) are either not observed (aldol condensation) or insignificant (C–C bond formation). This evidence indicates that the most efficient catalytic upgrading configuration for model ketone 4-heptanone over H/ZSM-5 is running at complete conversion.
We tested our regeneration protocol by running 4-heptanone upgrading at partial conversion, deactivating the catalyst for ∼75 hours, removing the catalyst from the reactor and regenerating it at 550 °C in a muffle furnace in stagnant air, and repeating the procedure two more times. Fig. 4 shows 4-heptanone conversion over time during these repeated regeneration experiments. Significantly, the once- and twice-regenerated catalysts have very similar deactivation trends over time, with the twice-regenerated catalyst even achieving higher conversions at low (<40 hours) times on stream compared to the once-regenerated catalyst. Conversion of 4-heptanone over time is likewise indistinguishable within error between the regenerated and fresh catalysts after 40 hours on stream. Conversion at low times on stream (<40 hours) is higher over the fresh catalyst than the regenerated catalysts (by ca. 10–30%), indicating that a portion of active sites on H/ZSM-5 are irreversibly deactivated at reaction conditions. However, the consistency in deactivation over time between the two catalyst regenerations implies that H/ZSM-5 can be repeatedly regenerated by burning off accumulated polyaromatic carbon species.
(5) |
Fig. 6F shows that BTEX aromatics have particularly high selectivity. The yields of each one of these species are shown in Fig. S6 (ESI†); the majority of BTEX products formed are toluene (36 carbon% of BTEX carbon yield) and p-xylene (40%), with the rest comprising benzene, ethylbenzene, and o-xylene. Heteroatom (N, halogens, Al, B, Ca, Co, Cr, Fe, K, Li, Mg, Mn, Na, Ni, P, S, Sr, and Zn) content of process inputs, liquids formed at all stages of the process, and some catalysts were also measured (Table S6, ESI†). Both liquid hydrocarbon product streams (the C6–13 BTEX and aromatic SAF blendstock formed from light VFAs and the C7–13 alkane blendstock formed from the heavy VFAs) had heteroatom contents below the detection limit (typically 2 ppm), with the exception of Na (3 ppm) in the alkane blendstock. This residual Na from the mixed acid salt feedstock could likely be dramatically lowered in an intensified process. The tiered screening process for SAF blendstocks only requires that the Na level be reported. However, for Fast Track screening (allowing blending up to 10 vol%), Na is limited to no more than 0.1 ppm.27 The generally low contaminant levels make the fuels feasible SAF blendstocks.62
Particularly relevant is the undetectable amount of N contamination in these blendstocks. The food waste feedstock for the process contains >6000 ppm N (Fig. S7, ESI†), the biological arrested methanogenesis process reduces this number 60-fold (to 101 ppm), and the subsequent thermochemical upgrading steps render final products containing <1 ppm N. Similar to the situation for Na, the tiered screening process for SAF blendstocks only requires that N level be reported, but N must be less than 2 ppm for Fast Track screening.27 Here the biological conversion step and subsequent separation to convert food waste to VFA salts successfully eliminates most N contamination without the need for a specific denitrogenation process. By contrast, upgraded oils from hydrothermal liquefaction, another promising wet waste upgrading procedure, commonly contain ca. 1 wt% N without deployment of a dedicated deep denitrogenation step.63 Overall mass fluxes for the upgrading process are shown in Fig. S8 (ESI†). The significant flux to side products, particularly residual solids, shows that overall yields would increase if the upstream separation steps were optimized and the process were integrated.
Fig. 7A shows the carbon number distribution and molecular functionality of the 8 vol% aromatic mixed SAF blendstock, while Fig. 7B shows that the boiling point range of the 50/50 blend falls within the typical range of aviation fuel properties as assessed by the CRC World Fuel Sampling Program.34 This blend also meets the distillation slope criteria of T50–T10 > 15 °C (29.5 °C) and T90–T10 > 40 °C (74.9 °C) and the boiling point criteria of T10 < 205 °C (163.5 °C) and final boiling point <300 °C (271.2 °C).64 Important physical and combustion properties of the fuel blend are shown in comparison to ASTM-approved ranges or limits (light blue) and typical Jet A ranges (dark blue) from the CRC sampling program in Fig. 7C. Flash point, freezing point, lower heating value (LHV), density, and viscosity all meet the specification requirements for jet fuels containing synthetic components and fall within the historical range for jet fuels. Cetane number is in the acceptable range and surface tension falls within the historical range of conventional Jet A.62
Thus, fuel property analysis shows that a 50/50 blend of the SAF blendstock developed in this work and Jet A conforms to necessary physical property limitations. A major advantage of the 8 vol% aromatic SAF blendstock is that it has the potential for being a drop-in fuel at blending levels well over 50% because of its aromatics content, although the low molecular diversity of this specific blendstock would likely preclude it from use as a drop-in SAF. Currently there is no approval pathway for blends above 50% but it is anticipated that a pathway for approval of 100% drop-in SAF will be established within the next few years. In the study reported here property measurements were limited by available sample volumes. Considerable additional property measurements and combustion rig testing would be required for full approval of VFA-derived SAF as a blend component or a neat fuel.
Description | Value |
---|---|
MJSP with policy incentives ($ per gal Jet) | $2.30 |
MJSP without policy incentives ($ per gal jet) | $9.87 |
Total fuel yield (gal jet per dry ton) | 26.55 |
Fuel carbon intensity (g CO2eq per MJ) | −151 |
Fixed capital investment | $19096000 |
Variable operating costs ($ per year) | $375000 |
Fixed operating costs ($ per year) | $1911000 |
Revenue ($ per year) | $5634000 |
SAF (@$1.76 per gal) | 18% |
Naphtha | 2% |
BTEX | 2% |
Policy credits | 77% |
A cost breakdown of the process (Fig. S9, ESI†) indicates that the MJSP was largely driven by the capital investment and fixed costs, while variable operating costs were less significant. The VFA upgrading operations were associated with the most capital cost (51%) followed by anaerobic digestion (37%) and VFA separation (10%). Key variable costs included the sulfolane solvent used in the BTEX separations (34% of variable operating costs), hydrogen used in HDO (24% of variable operating costs) and purchased electricity (32% of variable operation costs).
One challenge commonly encountered in biofuel production is achieving high carbon yields from biomass to fuels and products. Significant losses during biochemical conversion, especially using a heterogeneous feedstock such as food waste, are not uncommon; in the case of this process, the carbon yield to VFAs after arrested anaerobic digestion and recovery is 23%. Because of these losses, it is important to minimize additional losses during upgrading. The heavier VFAs (Fig. 6C, primarily C4–6), upgraded through ketonization and subsequent HDO, achieve this well, with a 91% carbon yield to product (SAF). However, there are significantly higher losses for the lighter VFAs (Fig. 6B, primarily C2–4) which are upgraded by ketonization and subsequent cyclization, with a 49% carbon yield to products (SAF, BTEX, and naphtha). While some of this carbon is lost in ketonization (14% of upgrading losses), the bulk of it is lost as light gases from the cyclization reaction (37%). Although the cyclization approach results in the production of sustainable BTEX and demonstrates improved potential for scalability compared to alternatives considered previously,66 these losses are a significant challenge for achieving improved economics. We are currently investigating upgrading approaches which maximize carbon efficiency to fuels and products while minimizing the production of less-valuable light gases.
Given the uncertainty associated with this feasibility-level TEA, a single-point sensitivity analysis was performed on key economic and process variables. Each variable was varied over a range representing alternative scenarios. Fig. S10 (ESI†) shows the variables considered, their respective ranges, and the resultant impact on the MJSP. The cost of the food waste feedstock had the most significant impact and was varied from −$50 per wet ton (representing an optimistic cost available in select areas, as reported in Badgett, Newes, and Milbrandt67) to $76 per wet ton (representing near term average prices in the 2023 Billion Ton Report68). This range had significant implications on process economics, with the optimistic value resulting in a highly negative MJSP (−$5.23 per gal, an improvement of $7.23 compared to the base case) and the more conservative value increasing the MJSP to $13.75 per gal (an increase of $11.45 per gal compared to the base case).
Other variables also had significant impacts on the MJSP, though none as large as the food waste cost. Given some uncertainty in the capital costs for this feasibility-level analysis, we varied the total capital investment by ±50%, resulting in a MJSP variation of ±$2.42 per gal. Economics were also sensitive to variables related to the policy incentives; when the CI credit associated with diverting food waste from landfills was eliminated, the MJSP increased by $3.21 per gal. Although this is significant, it should be noted that the process still satisfied the 50% GHG emission reduction threshold without the credit and thus qualified for all policy incentives. Conversely, increasing the CI credit by 50% resulted in an MJSP reduction of $1.56. Policy credit values also influenced process economics; when varied by ±50%, the MJSP varied by $2.17 per gal and $0.72 per gal for LCFS and RIN credits, respectively. The price of the BTEX and naphtha coproducts had less significant impacts on the MJSP, resulting in variation of less than $0.30 per gal when varied over the ranges considered.
Table S13 (ESI†) contains a full accounting of the JUST-R metrics, accounting for environmental justice aspects of our research and envisioned process implementation. Most metrics for the research are positive, although the metrics do expose several weaknesses and blind spots (e.g. stakeholder communication, diversity of audiences reached, identification of set vs. flexible parameters, and air pollution) which can be addressed with further research.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ey00087k |
This journal is © The Royal Society of Chemistry 2024 |