Integrated experimental and technoeconomic evaluation of two-stage Cu-catalyzed alkaline–oxidative pretreatment of hybrid poplar
When applied to recalcitrant lignocellulosic feedstocks, multi-stage pretreatments can provide more processing flexibility to optimize or balance process outcomes such as increasing delignification, preserving hemicellulose, and maximizing enzymatic hydrolysis yields. We previously reported that adding an alkaline pre-extraction step to a copper-catalyzed alkaline hydrogen peroxide (Cu-AHP) pretreatment process resulted in improved sugar yields, but the process still utilized relatively high chemical inputs (catalyst and H2O2) and enzyme loadings. We hypothesized that by increasing the temperature of the alkaline pre-extraction step in water or ethanol, we could reduce the inputs required during Cu-AHP pretreatment and enzymatic hydrolysis without significant loss in sugar yield. We also performed technoeconomic analysis to determine if ethanol or water was the more cost-effective solvent during alkaline pre-extraction and if the expense associated with increasing the temperature was economically justified.
After Cu-AHP pretreatment of 120 °C NaOH-H2O pre-extracted and 120 °C NaOH-EtOH pre-extracted biomass, approximately 1.4-fold more total lignin was solubilized (78% and 74%, respectively) compared to the 30 °C NaOH-H2O pre-extraction (55%) carried out in a previous study. Consequently, increasing the temperature of the alkaline pre-extraction step to 120 °C in both ethanol and water allowed us to decrease bipyridine and H2O2 during Cu-AHP and enzymes during hydrolysis with only a small reduction in sugar yields compared to 30 °C alkaline pre-extraction. Technoeconomic analysis indicated that 120 °C NaOH-H2O pre-extraction has the lowest installed ($246 million) and raw material ($175 million) costs compared to the other process configurations.
We found that by increasing the temperature of the alkaline pre-extraction step, we could successfully lower the inputs for pretreatment and enzymatic hydrolysis. Based on sugar yields as well as capital, feedstock, and operating costs, 120 °C NaOH-H2O pre-extraction was superior to both 120 °C NaOH-EtOH and 30 °C NaOH-H2O pre-extraction.
KeywordsAlkaline hydrogen peroxide (AHP) Biofuels Copper Hybrid poplar Lignin Lignocellulosic biomass Oxidative delignification Technoeconomic analysis (TEA)
- 30 °C NaOH-H2O PE
alkaline pre-extraction step conducted in water at 30 °C
- 120 °C NaOH-EtOH PE
alkaline pre-extraction step conducted in ethanol at 120 °C
- 120 °C NaOH-H2O PE
alkaline pre-extraction step conducted in water at 120 °C
annualized capital cost
annual ethanol production rate
capital charge factor
total capital cost
copper-catalyzed alkaline hydrogen peroxide
high-performance liquid chromatography
total operating costs
unit production cost
Increasing energy demands, the desire for energy independence, and growing concern over greenhouse gas emissions and global warming have encouraged the search for renewable, eco-friendly sources of energy, including biofuels produced from lignocellulosic biomass . Lignocellulose, the structural biopolymer found in plant cell walls, is comprised of lignin, cellulose, hemicelluloses, and to a minor extent, pectins. Due to contributions from the composition, the higher order structure of the plant cell wall, and the cellular organization of higher plants, lignocellulosic biomass is recalcitrant to many deconstruction processes that are used to release the fermentable sugars found in cellulose and hemicellulose [2, 3].
A diverse range of pretreatment technologies have been investigated that are capable of overcoming this recalcitrance, and several studies have used aqueous or organic solvents to effectively pretreat the lignocellulosic biomass for its improved conversion [4, 5, 6, 7, 8, 9, 10]. Relevant to this manuscript, significant research efforts have focused on developing pretreatments using water or ethanol as solvents in the presence of alkali [11, 12, 13, 14, 15]. Addition of ethanol during alkaline delignification has been found to result in more rapid delignification relative to alkaline only  and has been developed as a process to yield low-lignin pulps .
Multi-stage pretreatments offer the potential to provide a synergistic interaction in order to improve and/or generate high-yield, high-purity fractions of cell wall biopolymers and are commonly used in the forest products industry. For example, an acidic “pre-hydrolysis” coupled to an alkaline delignification is employed in the production of viscose pulps and is capable of yielding acetate and hemicellulose-derived compounds (e.g., furfural) in the first stage and a high-purity cellulose pulp suitable for the production of cellulose derivatives . Comparable to these processes, autohydrolysis and dilute acid pretreatment have been coupled to a range of delignifying post-treatments in order to improve the subsequent enzymatic hydrolysis of woody biomass including hybrid poplar [19, 20, 21]. Multi-stage mild alkaline and alkaline–oxidative pretreatments have been proposed in our prior work as a method of preserving hemicellulose and maximizing enzymatic hydrolysis yields [13, 22].
We previously demonstrated that a copper-catalyzed alkaline hydrogen peroxide (Cu-AHP) pretreatment process resulted in a substantial improvement of sugar yields following enzymatic hydrolysis compared to AHP-only pretreatment [23, 24]. Further, we recently reported that the addition of an alkaline pre-extraction step prior to Cu-AHP pretreatment increased lignin and hemicellulose solubilization under mild process conditions (i.e., low temperature and pressure), improving the glucose yields by 1.4-fold (63% to 86%) and xylose yields by 1.3-fold (74% to 95%) . While these data were promising, the process still utilized relatively high chemical inputs (copper, the ligand 2,2’-bipyridine (bpy) and H2O2) during pretreatment and enzyme loadings during hydrolysis to achieve the reported yields. We hypothesized that by increasing the severity of the alkaline pre-extraction step, we could increase delignification while still retaining most of the xylan, thereby allowing us to reduce both the chemical inputs required during Cu-AHP pretreatment and the enzyme loadings utilized during hydrolysis.
Although increasing the severity of alkaline pre-extraction conditions would almost certainly improve glucose yields following Cu-AHP pretreatment and enzymatic hydrolysis, an economic evaluation of pretreatment process economics is needed, as increasing the severity would also increase the processing costs. Technoeconomic analysis (TEA) evaluates both the economic and technological aspects of pretreatment technologies. In addition to understanding the total costs associated with producing ethanol from lignocellulosic feedstocks, TEA also analyzes the effects of changes in chemical input or feedstock costs, evaluates process design to maximize energy usage and recovery, and identifies process bottlenecks that might inhibit industrial-scale feasibility. As a process development tool, TEA has been applied to many pretreatment technologies including, but not limited to, dilute acid [25, 26], AFEX™ [27, 28], ionic liquid [29, 30], and γ-valerolactone (GVL) [31, 32]. Recently, TEA was applied to a two-stage alkaline hydrogen peroxide (AHP) pretreatment of corn stover, revealing a favorable minimum ethanol selling price (MESP) ; however, TEA on the two-stage Cu-AHP pretreatment of woody biomass has not been performed.
In this manuscript, we compare the impact that water and ethanol alkaline pre-extraction steps have on the effectiveness of Cu-AHP pretreatment of hybrid poplar. Importantly, we report that by increasing the temperature of the alkaline pre-extraction step to 120 °C, we can improve the process performance while simultaneously reducing the chemical and enzyme inputs in the second stage that are required to achieve high sugar yields following enzymatic hydrolysis. Finally, we perform economic analysis to identify areas of the pretreatment process to target for further improvements.
Eighteen-year-old hybrid poplar (Populus nigra var. charkoviensis × caudina cv. NE-19) grown at the University of Wisconsin Arlington Agricultural Research Station was used for this study. Debarked and air-dried hybrid poplar logs were split to approximately 1.5″ × 2″ x 12″ wedges, chipped by an Earthwise 15-Amp Electric Garden Chipper/Shredder (Model GS70015), and sieved by shaking for 15 min in a LABTECH Chip Classifier with round-hole screens. Chips that passed through the 7-mm round-hole screen but were retained on the 3-mm round-hole screen were shipped to Michigan State University for use in this study.
Prior to compositional analysis, wood chips were ground to pass through a 1-mm screen on a Christy Turner lab mill (Christy Turner LTD, Ipswich, Suffolk, UK). A two-stage acidolysis method from the National Renewable Energy Laboratory  was used to determine the composition of the structural carbohydrates and the acid-insoluble lignin (Klason lignin). The structural carbohydrates were separated and quantified on an Agilent 1260 series high-performance liquid chromatography (HPLC) system equipped with an Infinity II refractive index detector and an Aminex HPX-87H column. The mobile phase was 5.0 mM H2SO4 (0.6 mL/min) and the operating temperature was 65 °C. The xylose measured from the samples were reported as a cumulative percentage of xylose, mannose, and galactose as the HPX-87H column is unable to resolve these sugars.
Alkaline pre-extraction of wood chips
For the pre-extraction step, a 5 g sample (1–2% moisture content) of 3–7 mm of hybrid poplar wood chips was heated without mixing at 120 °C for 1 h (plus a 15 min heat-up time and a 10-min cool-down time) with 250 mM NaOH (100 mg/g biomass) and either 50 mL (~ 10% wt/vol solids loadings) of 95% (vol/vol) ethanol (120 °C NaOH-EtOH pre-extraction (PE)) or water (120 °C NaOH-H2O PE) in a 100 mL volume capacity Parr reactor (4560 Mini Benchtop reactor). After incubation, the remaining insoluble biomass was thoroughly washed with deionized water and air dried. Prior to Cu-AHP pretreatment, the alkaline pre-extracted wood chips were milled to 1 mm using a Christy Turner lab mill (Christy Turner LTD, Ipswich, Suffolk, UK).
Following ethanol or water alkaline pre-extraction, the milled hybrid poplar biomass was subjected to Cu-AHP pretreatment with fed-batch addition of H2O2 . The pretreatment was performed in 2.5 mL of reaction volume at 10% solids loading for 23 h at 30 °C. Unless otherwise noted, the following concentrations of reactants were utilized during pretreatment. Catalyst loadings were set at 1 mM for Cu2+ (added as CuSO4·5H2O) and 2 mM for 2,2′-bipyridine (bpy), respectively. (Although the precise function of the bpy ligand is unknown, the N heteroatom donor and the aromaticity of the bidentate ligand are important.) The H2O2 and NaOH loadings were both set at 100 mg/g of hybrid poplar biomass. Fed-batch addition of H2O2 was performed over a 10-h period to achieve a final oxidant loading of 100 mg/g pre-extracted biomass.
Following 23 h of Cu-AHP pretreatment, the pH of the pretreatment mixture was adjusted to 5.0 with 72% (w/w) H2SO4 followed by the addition of 0.25 mL of 1 M citric acid buffer (pH 5.0). To complete enzymatic hydrolysis, Cellic CTec3 (197.3 mg/g) and HTec3 (170.5 mg/g), provided by Novozymes A/S (Bagsværd, DK), were added into the reaction mixture, each at a loading of 15 mg protein/g glucan from pre-extracted biomass, for a total protein loading of 30 mg/g. The enzyme content was supplied by the manufacturer. The total aqueous volume of the reaction was then adjusted to 5 mL by adding deionized water to attain solids loading of 5% (wt/vol). The samples were incubated at 50 °C for 72 h with orbital shaking at 210 rpm. The sugars obtained following enzymatic hydrolysis were quantified by high-performance liquid chromatography following a procedure described previously . The sugar yields (glucose and xylose) were calculated by dividing the amount of released sugar by the total sugar content of the biomass (dry weight basis) prior to pretreatment.
A technoeconomic analysis (TEA) based on nth plant assumptions was performed to assess economic improvements resulting from the two-stage Cu-AHP pretreatment conditions that were evaluated experimentally. Three processes were considered to precede Cu-AHP pretreatment: 1) 30 °C NaOH-H2O PE , 2) 120 °C NaOH-H2O PE (as described above), and 3) 120 °C NaOH-EtOH PE (as described above). Process flow diagrams of each process and biorefinery are provided in Additional file 1: Figure S1 and S2. After pre-extraction, solids are separated from liquids by filtering through screens at the bottom of the pre-extraction reactor. These solids are sent to the Cu-AHP pretreatment reactors, while the liquor containing base and solubilized lignin, xylan, glucan, acetate, and mineral ash is sent to a Kraft paper mill, serving as an integrated biorefinery, to partially recover NaOH for use in the Kraft mill. NaOH needed by the biorefinery is assumed to be purchased at its market price whether from the adjacent Kraft mill or from a separate vendor. For 120 °C NaOH-EtOH PE, the ethanol-rich liquor is sent to a distillation column to recover ethanol and recycle it to the pre-extraction reactors. The bottoms of ethanol recovery column are routed to the integrated Kraft paper mill as a means of handling the waste that contains NaOH. Further information on operating conditions and conversions are provided as supplementary data (see Additional file 1: TableS2, Additional file 1: Figures S1, S2). Aspen Plus Version 8.8 was used to simulate material and energy balances for the three process configurations.
Results and discussion
We have previously demonstrated the improved hydrolysis yields of the Cu-AHP pretreatment process in treating hybrid poplar compared to both alkaline-only and alkaline hydrogen peroxide-only treatments when all pretreatments were conducted at 30 °C [12, 23, 24]. Additionally, we demonstrated that adding an alkaline pre-extraction step at 30 °C to the Cu-AHP pretreatment resulted in an increase in glucose and xylose yields by 23 and 21%, respectively .
Based on this promising yield increase, we hypothesized that by increasing severity of the alkaline pre-extraction, we could further reduce the chemical costs during Cu-AHP while still maintaining high sugar yields. Therefore, the current study focused on further improvements to Cu-AHP pretreatment by performing alkaline pre-extraction at high temperature in two different solvent systems, i.e., ethanol and water. Additionally, we performed the alkaline pre-extraction step on larger sized poplar wood chips (3–7 mm) that were then milled to 20 mesh (0.85 mm) screen size using a Wiley mill prior to Cu-AHP pretreatment. Studies have shown that pretreating wood chips prior to milling to a size appropriate for enzymatic hydrolysis can reduce energy consumption compared to milling prior to pretreatment [40, 41].
Compositional analysis of the pretreated biomass was performed to determine the changes associated with the pre-extraction treatments relative to untreated biomass. A larger amount of mass was solubilized during 120 °C NaOH-H2O PE (~ 21%) compared to 120 °C NaOH-EtOH PE (~ 16%). Compositional analysis of treated biomass demonstrated that ~ 27% of the original xylan and ~ 28% of the original lignin was solubilized during 120 °C NaOH-H2O PE compared to ~ 20% xylan and 19% lignin solubilization for 120 °C NaOH-EtOH PE-treated biomass (see Additional file 1: Table S2). In comparison, only ~ 5% of both the lignin and xylan were solubilized during 30 °C NaOH-H2O PE .
While both 120 °C pre-extraction steps resulted in some lignin removal, the majority of the delignification occurred when the pre-extracted biomass was further subjected to Cu-AHP pretreatment. After Cu-AHP pretreatment of 120 °C NaOH-H2O PE and 120 °C NaOH-EtOH PE biomass, 78% and 74%, respectively, of the original lignin content was removed from a combination of pre-extraction and pretreatment. This is an approximate 1.4-fold increase in lignin solubilization compared to the 30 °C NaOH-H2O PE (55%) .
Technoeconomic analysis results
Increasing the temperature of the alkaline PE step to 120 °C allowed for a decrease in bpy, H2O2, and enzymes with a small variation in glucose and xylose yields compared to 30 °C alkaline PE. However, 120 °C alkaline PE requires heat input at an economic cost. Therefore, this preliminary TEA was performed to gauge how process changes improve the biorefinery economics.
Simulation results were used to calculate the raw material and variable operating cost of each process. A detailed list of the annual raw material cost for the three processes, i.e., 30 °C NaOH-H2O water PE/Cu-AHP , 120 °C NaOH-H2O PE/Cu-AHP, and 120 °C NaOH-EtOH PE/Cu-AHP, is provided in Table S3 (see Additional file 1: Table S3). Total raw material costs for 30 °C NaOH-H2O PE, 120 °C NaOH-H2O PE, and 120 °C NaOH-EtOH PE were calculated to be $197.6, $175.3, and $191.8 MM/year, respectively. Other than feedstocks, H2O2, bpy, enzymes, and NaOH comprise the main raw material costs in the pretreatment unit in all cases. Smaller carbohydrate losses in 30 °C NaOH-H2O PE translate to less biomass required for making 60 MMgal/year ethanol, which reduces biomass cost by about $3 MM/year. Further, 30 °C NaOH-H2O PE and 120 °C NaOH-H2O PE produce electricity as a by-product by burning lignin and have an annual revenue of $2.82 and $3.63 MM/year from selling electricity to the grid. Additionally, 30 °C NaOH-H2O PE consumes more power for aeration and agitation in cellulase enzyme production vessels as the enzyme requirement of 30 °C NaOH-H2O PE is twice that of 120 °C NaOH-H2O PE and 120 °C NaOH-EtOH PE (60 vs 30 mg/g glucan). Increased enzymes also lead to increased sugar costs for onsite enzyme production, as 30 °C NaOH-H2O PE sugar cost ($48.2 MM/year) is about double that of 120 °C NaOH-H2O PE ($27.1 MM/year) and 120 °C NaOH-EtOH PE ($26.1 MM/year). Finally, 120 °C NaOH-EtOH PE requires a larger amount of heat to recover ethanol used in the pre-extraction reactors. More troubling, the heat obtained from combusting the solid residues of fermentation and the biogas from wastewater treatment is insufficient to meet the heat demands, requiring that purchased natural gas be burned (about $1.84 MM/year) to provide the necessary process heat. Consequently, 120 °C NaOH-EtOH PE does not produce excess steam for power production and must purchase grid electricity costing $12.3 MM/year.
Using the 120 °C NaOH-H2O PE model, a sensitivity analysis, based on the actual bench-scale data obtained by this work, was performed to assess the potential for further cost reduction. Experimental data show that H2O2, enzyme, and bpy loadings can be reduced from their base value of 100 mg/g dry biomass (to 60 mg/g dry biomass), 30 mg/g glucan (to 20 mg/g glucan), and 2 mM (to 1 mM), respectively, without meaningfully lowering the glucose and xylose yields. To gauge the impact of altering these three variables on process economics, a hypothetical case was formulated by assuming no interaction effects. If H2O2, enzyme, and bpy loadings can be reduced in concert without lowering the fermentable sugar yield, then the overall impact of these changes reduced the total raw material cost of the process and capital costs of the enzyme production unit by about 25% and 16% to $131.7 MM/year and $25.6 MM, respectively. The excess electricity sold to the grid also increased from $3.6 to $5.2 MM/year, a 44% increase. Overall, these changes reduced UPC from $3.57 to $2.82/gal, which is a 21% decrease. Figure 5 compares the three cases examined in this study to a 120 °C NaOH-H2O PE hypothetical case that benefits from lowering H2O2, enzyme, and bpy loadings in concert. As expected, reductions in raw materials used by 120 °C NaOH-H2O PE results in significant reductions in operating costs, and to a lesser degree, capital costs. Of course, interaction effects could alter these predictions positively or negatively; future experiments should be designed to simultaneously vary multiple factors and measure the influence of interaction on costs.
Another possible option to further reduce the raw material cost would be lowering the current bpy price ($59/kg) by mass production. A five- and ten-fold reduction in bpy cost will reduce the annual raw material cost for high-temperature water PE by about $22.7 and $25.5 MM/year, respectively, which is a significant decrease. However, this option assumes future economies of scale for the production of bpy. Therefore, scenarios that include bpy recycling or onsite production should be considered in future studies.
A complete life cycle analysis, which would provide a more detailed picture of the environmental impact of the three process configurations, was not performed. However, several observations can be made based solely on the mass and energy balances. For example, as a consequence of the higher electricity and natural gas inputs, the process utilizing 120 °C NaOH-EtOH PE would result in higher fossil fuel input and greenhouse gas emissions per unit of biofuel generated than either of the other two process configurations. On the other hand, the 120 °C NaOH-EtOH PE process requires less process water per unit of biofuel produced. Further analysis is needed to fully understand these tradeoffs.
In conclusion, we found that increasing the temperature of the alkaline pre-extraction step to 120 °C prior to Cu-AHP pretreatment allowed bpy, H2O2, and enzyme loadings to be decreased without causing as large of a reduction in glucose and xylose yields as was seen with a 30 °C NaOH-H2O PE. Additionally, sugar yields with 120 °C NaOH-H2O PE were greater than those for 120 °C NaOH-EtOH PE. TEA revealed that 30 °C NaOH-H2O PE was the most expensive of the three pre-extraction methods, and that 120 °C NaOH-H2O PE had the lowest investment and operating costs. Further experimental work, coupled with TEA, will be required to identify the optimal severity of the alkaline pre-extraction step relative to the Cu-AHP extraction and the reduction of non-feedstock inputs.
AB performed experiments in all areas of pre-extraction, pretreatment, and enzymatic hydrolysis, and helped write the manuscript. PF performed process simulations, technoeconomic analysis, and helped write the manuscript. CAP led the writing and editing of the manuscript. AEA performed ethanol pre-extractions and studied the impact of chemical inputs. RJS performed technoeconomic analysis. NB performed ethanol pre-extractions, studied the impact of chemical inputs, and performed enzymatic hydrolysis at different enzyme and peroxide loadings. RS performed compositional analysis on pre-extracted biomass. CMS helped design TEA experiments, interpret the results, and edit the manuscript. DBH and ELH helped design pretreatment experiments, interpret the results, and edit the manuscript. All authors read and approved the final manuscript.
The authors declare the following competing financial interest: D. B. Hodge, E. L. Hegg, A. Bhalla, and N. Bansal (Multi-Ligand Metal Complexes and Methods of Using Same to Perform Oxidative Catalytic Pretreatment of Lignocellulosic Biomass—2015/0352540 A1). As a holder of this patent, we may benefit financially from advances in the technology discussed in this manuscript.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request.
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This material is based upon work supported by the U. S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018409 and work funded by the DOE Great Lakes Bioenergy Research Center (DOE BER Office of Science DE-FC02-07ER64494). Dr. Saffron’s contribution was supported in part by the USDA National Institute of Food and Agriculture (Hatch project MICL02289) and Michigan State University AgBioResearch.
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- 2.Ong RG, Chundawat SPS, Hodge DB, Keskar S, Dale BE. Linking plant biology and pretreatment: understanding the structure and organization of the plant cell wall and interactions with cellulosic biofuel production. In: McCann MC, Buckeridge MS, Carpita NC, editors. Plants and BioEnergy. New York: Springer; 2014. p. 231–53.CrossRefGoogle Scholar
- 4.Diner BA, Fan J. Organic solvent pretreatment of biomass to enhance enzymatic saccharification. US Patent. 2012.Google Scholar
- 16.Marton R, Granzow SG. Use of ethanol in alkaline pulping. In: Google Patents. 1982.Google Scholar
- 17.Marton R, Granzow S. Ethanol-alkali pulping. Tappi. 1982;65:103–6.Google Scholar
- 25.Tao L, Chen XW, Aden A, Kuhn E, Himmel ME, Tucker M, Franden MAA, Zhang M, Johnson DK, Dowe N, et al. Improved ethanol yield and reduced minimum ethanol selling price (MESP) by modifying low severity dilute acid pretreatment with deacetylation and mechanical refining: 2) Techno-economic analysis. Biotechnol Biofuels. 2012;5:69.CrossRefGoogle Scholar
- 34.Sluiter A, Hames B, Ruiz R, Scarlata C, Sluiter J, Templeton D, Crocker D. Determination of structural carbohydrates and lignin in biomass. Tech Rep NREL TP. 2011;10:42618.Google Scholar
- 35.Humbird DDR, Tao L, Kinchin C, Hsu D, Aden A, Schoen P, Lukas J, Olthof B, Worley M, Sexton D, Dudgeon D. Process design and economics for biochemical conversion of lignocellulosic biomass to ethanol. Golden: NREL; 2011. p. TP-5100–47764.Google Scholar
- 36.Davis R, Tao L, Tan ECD, Biddy MJ, Beckham GT, Scarlata C, Jacobson J, Cafferty K, Ross J, Lukas J, et al. Process design and economics for the conversion of lignocellulosic biomass to hydrocarbons: dilute-acid and enzymatic deconstruction of biomass to sugars and biological conversion of sugars to hydrocarbons. Golden: NREL; 2013. p. TP-5100–60223.CrossRefGoogle Scholar
- 37.Davis R, Tao L, Scarlata C, Tan ECD, Ross J, Lukas J, Sexton D. Process design and economics for the conversion of lignocellulosic biomass to hydrocarbons: dilute-acid and enzymatic deconstruction of biomass to sugars and catalytic conversion of sugars to hydrocarbons. Golden: NREL; 2015. p. TP-5100–62498.CrossRefGoogle Scholar
- 38.Consulting S. U.S. producer price indexes - chemicals and allied products/industrial inorganic chemicals index. Menlo Park: Chemical Economics Handbook; 2008.Google Scholar
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