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At least 19 records

A distributed cellulosic biorefinery system in the US Midwest based on corn stover

Corn stover supply chains in a distributed biorefinery system are explored here. The distributed cellulosic biorefinery uses pre-processed and densified cellulosic feedstock from a geographically separated facility (a depot) as raw material. A network of small-scale depot facilities supplies pre-processed feedstock to a distributed biorefinery. Depot facilities are assumed to be located at existing grain elevators, while distributed biorefineries are located adjacent to coal-fired power plants in areas with high gasoline consumption (urban areas) in the Midwest. The county level corn stover projections in 2022 by the US Billion-Ton Update report (2011) are used to estimate ethanol selling price and greenhouse gas (GHG) emissions of the ethanol fuel. The supply chain for each distributed biorefinery is determined by minimizing the ethanol selling price. Approximately ten distributed biorefineries based on corn stover could be established in the Midwest. Over 700 individual depot facilities participate in supplying the distributed biorefinery systems which collectively can produce greater than 12 hm3 of ethanol (3.3 billion gallons) per year. Ethanol selling price in the distributed system ranges from US$\$ $0.66 to US$\$ $1.03 per liter. Some distributed biorefineries are economically competitive with a centralized biorefinery. However, not every region can support a distributed biorefinery system due to inadequate corn stover availability. Cradle-to-gate GHG emissions of ethanol in the distributed systems are 22.1–46.6 g CO 2 per MJ. The external energy consumption in the depot facilities is the major GHG source. Optimizing process energy use in the depot facility is required to reduce both operation costs and GHG emissions.

09 BIOMASS FUELS↗

EISA (Energy Independence and Security Act) compliant ethanol fuel from corn stover in a depot-based decentralized system

Cellulosic biofuels face significant problems of feedstock aggregation and logistics leading to poor economies of scale. The current model is based on relatively small biorefineries using locally-gathered feedstocks. Here, we examine the potential capacity of a hypothetically distributed, depot-based, biorefinery system to produce cellulosic ethanol from corn stover in the United States Midwest. The local depots serve to aggregate, pretreat and densify biomass (via pellets), which are collected, transported, and fed to a few very large, cellulosic ethanol biorefineries. We found that a corn stover-based depot system would help establish one or two very large-scale biorefineries capable of processing about 8-12% of total corn stover available in the United States Midwest. About 55-153 depots could supply the pretreated pellets to each distributed biorefinery leading to an annual production of 1.02 - 2.91 billion liters of cellulosic ethanol. Most of the participating depots would be located in Illinois and Iowa. The ethanol selling price in this depot-based biorefinery system would varys between U$S 0.67 and U$S 0.72 liter-1. The estimated range of GHG savings from cellulosic ethanol in the depot system compared to gasoline was 3.35-4.84 Tg CO2 year-1. In addition of being economically competitive, a distributed, depot-based, biorefinery system could meet the 60% GHG reduction requirement of the U.S. Energy Independence and Security Act (EISA).

Biorefinery, Cellulosic biofuel, Corn stover, Dist↗

Corn stover cannot simultaneously meet both the volume and GHG reduction requirements of the renewable fuel standard

Corn stover is expected to supply much of the cellulosic biomass required to meet the 61 billion liters per year target under the US Energy Independence and Security Act. The Act also requires that cellulosic biofuels achieve a greenhouse gas (GHG) reduction of 60% compared to gasoline. If corn stover is harvested for biofuels, it can no longer help replenish soil organic matter, and net soil carbon emissions increase. So meeting the GHG reduction target is a concern. We studied the effect of stover removal on overall GHG emissions of corn stover ethanol systems in the 12-state Corn Belt region. Even at a stover removal rate of 66%, no more than 20 billion liters can be annually produced while simultaneously satisfying the 60% GHG reduction. Moreover, no GHG reduction relative to gasoline occurs in short time periods. The GHG benefits of corn stover ethanol only appear after longer time periods.

cellulosic biofuel, corn stover, ethanol, geospati↗

Vertical distribution of structural components in corn stover

In the United States, corn ( Zea mays L.) stover has been targeted for second generation fuel production and other bio-products. Our objective was to characterize sugar and structural composition as a function of vertical distribution of corn stover (leaves and stalk) that was sampled at physiological maturity and about three weeks later from multiple USA locations. A small subset of samples was assessed for thermochemical composition. Concentrations of lignin, glucan, and xylan were about 10% greater at grain harvest than at physiological maturity, but harvestable biomass was about 25% less due to stalk breakage. Gross heating density above the ear averaged 16.3 ± 0.40 MJ kg⁻¹, but with an alkalinity measure of 0.83 g MJ⁻¹, slagging is likely to occur during gasification. Assuming a stover harvest height of 10 cm, the estimated ethanol yield would be >2500 L ha⁻¹, but it would be only 1000 L ha⁻¹ if stover harvest was restricted to the material from above the primary ear. Vertical composition of corn stover is relatively uniform; thus, decision on cutting height may be driven by agronomic, economic and environmental considerations.

09 BIOMASS FUELS↗

Method to produce durable pellets at lower energy consumption using high moisture corn stover and a corn starch binder in a flat die pellet mill

Biomass from plants can serve as an alternative renewable energy resources for energy production. Low densities of 40–60 kg/m3 for ground lignocellulosic biomass like corn stover limit its operation for energy purposes. The common drawbacks are inefficient transportation, a bigger storage foot print, and handling problems. Densification of biomass using pellet mill helps to overcome these limitations. This study helps to understand the effect of binder on high moisture biomass with a focus on the quality (density and durability), the pelleting efficiency and the specific energy consumption of its pelleting process. Raw corn stover was pelleted at high moisture of 33% (w.b.) at both varying preheating temperatures and binder percentage. The die speed of the pellet mill was set at 60Hz. The pellets produced were analyzed and showed higher moisture content. They were further dried in a laboratory oven at 70°C for 3-4 hr bringing the pellet moisture to <9%. The dried pellets were evaluated for their physical properties like unit, bulk and tapped density, and durability. Furthermore, the results indicated increasing the binder percentage to 4% improved the physical properties of the pellets and reduced the specific energy consumption. Higher binder addition of 4% reduced the feedstock moisture loss during pelleting to <4%, which can be due reduced residence time of the material in the die. On the other hand the physical properties like density and durability improved significantly with binder addition. At 4% binder and 33% feedstock moisture content, the bulk density and durability values observed were >510 kg/m3 and >98% and the percent fines generation has reduced to <3%. Also at these conditions the specific energy consumption was reduced by about 30-40% compared no binder pelleting test.

09 BIOMASS FUELS↗

SWIFT: Single-pass, Weather Independent Fractionation Technology for Improved Property Control of Corn Stover Feedstock

Corn stover is an abundant source of biomass that can be utilized for bioenergy production, representing 70% of the available crop residues in the U.S. However, recent projections estimate that over 60% of corn stover will be collected at moisture levels that exceed 20% moisture (wet basis), resulting in instability in conventional baled logistics systems due to unwanted microbial degradation. This biomass challenge can be solved with a paradigm-shifting technology or SWIFT: Single-pass, Weather Independent Fractionation Technology. SWIFT streamlines collection by eliminating multiple time-consuming, costly, non-value-added, field and weather-dependent steps that comprise the current state of the art in corn stover harvest. The unique approach envisions simultaneous harvest and collection of high, dry matter, whole-plant corn (i.e., stover plus grain) combined with anaerobic storage and fractionation as a means to positively influence the physical and chemical characteristics of corn stover biomass and the resulting feedstock.

09 BIOMASS FUELS↗

Deacetylation and Mechanical Refining (DMR) and Deacetylation and Dilute Acid (DDA) Pretreatment of Corn Stover, Switchgrass, and a 50/50 Corn Stover/Switchgrass Blend

The most economical feedstock available to future lignocellulosic biorefineries may be a feedstock blend. Corn stover, switchgrass, and a 50:50 blend of corn stover and switchgrass were subjected to three different dilute alkali deacetylation conditions in a 90 L reactor prior to either mechanical refining (DMR) in a disc refiner followed by a Szego mill or dilute acid pretreatment (DDA) at five different conditions in a 4 L batch steam explosion reactor. The forty-five DDA and nine DMR slurries were subjected to high solids enzymatic hydrolysis at an enzyme loading of 15 mg protein per gram cellulose using Novozymes Cellic CTec3 (DDA) or a 4:1 mix of Novozymes Cellic CTec3:HTec 3 (DMR). The highest glucose yield was achieved using DMR processed corn stover from the high severity deacetylation condition (92 °C and 100 kg NaOH/ODMT) at 95.9% ± 0.8%, while the greatest monomeric glucose yields for switchgrass were between 75% to 80%. The glucose yields from saccharification of the 50:50 corn stover/switchgrass blend was approximately the average of the two individual feedstocks for both DDA and DMR processes. Statistical analysis showed that for a given feedstock type dilute alkali deacetylation severity had a significant impact (p < 0.05) on enzymatic hydrolysis yields, and for a given deacetylation severity the feedstock type had a significant effect on glucose conversion with the addition of switchgrass resulting in lower glucose yields. A blending strategy to maximize enzymatic hydrolysis sugar yields while reducing carbohydrate solubilization during the alkaline treatment step was proposed that allows deacetylation of feedstocks with different recalcitrance at optimal conditions for that feedstock, then blending prior to enzymatic hydrolysis.

BIOMASS FUELS,INORGANIC, ORGANIC, PHYSICAL, AND AN↗

Drought effects on composition and yield for corn stover, mixed grasses, and Miscanthus as bioenergy feedstocks

Drought conditions in 2012 were some of the most severe reported in the United States. It is necessary to explore the effects of drought on the quality attributes of current and potential bioenergy feedstocks. Compositional analysis data for corn stover, Miscanthus, and CRP grasses from one or more locations for years 2010 (normal precipitation levels) and 2012 (a known severe drought year nationally) was collected. Results & discussion: The general trend for samples that experienced drought was an increase in extractives and a decrease in structural sugars and lignin. The TEY yields were calculated to determine the drought effects on ethanol production. All three feedstocks had a decrease of 12-14% in TEY when only decreases of carbohydrate content was analyzed. When looking at the compounded effect of both carbohydrate content and the decreases in dry matter loss for each feedstock there was a TEY decrease of 25%-59%. Conclusion: Drought had a significant impact on the quality of all three bioenergy crops. In all cases where drought was experienced both the quality of the feedstock and the yield decreased. These drought induced effects could have significant economic impacts on biorefineries.

09 BIOMASS FUELS↗

Cellulosic Biomass Sugars to Advantage Jet Fuel: Catalytic Conversion of Corn Stover to Energy Dense, Low Freeze Point Paraffins and Naphthenes (CRADA CRD-12-462 Final Report)

NREL will provide scientific and engineering support to Virent Energy Systems in three technical areas: Process Development/Biomass Deconstruction; Catalyst Fundamentals; and Technoeconomic Analysis. The overarching objective of this project is to develop the first fully integrated process that can convert a lignocellulosic feedstock (e.g., corn stover) efficiently and cost effectively to a mix of hydrocarbons ideally suited for blending into jet fuel. The proposed project will investigate the integration of Virent Energy System's novel aqueous phase reforming (APR) catalytic conversion technology (BioForming) with deconstruction technologies being investigated by NREL at the 1-500 L scale. Corn stover was chosen as a representative large volume, sustainable feedstock.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

CFD-DEM Modeling of Autothermal Pyrolysis of Corn Stover with a Coupled Particle- and Reactor-Scale Framework

Autothermal operation of fast pyrolysis is an efficient process-intensification technique wherein exothermic oxidation reactions are used to overcome the heat-transfer bottleneck of conventional pyrolysis. The development of accurate, reliable modeling toolsets is imperative to generating a deeper understanding of biomass autothermal pyrolysis systems to support scale-up and industrial deployment. This modeling effort describes the development of single-particle and reactor models which incorporate detailed reaction schemes and simultaneous exothermic oxidation reactions. The particle-scale model was parameterized for corn stover feedstock with particle morphology, density, ash content, and biopolymer composition, all of which impact the emergent conversion characteristics during pyrolysis. Results were then used to parameterize a reactor-scale autothermal pyrolysis model, which was developed using a coarse-grained computational fluid dynamic-discrete element method. The simulation results compared well with experimental results, with the predicted bio-oil, light gas, and biochar yield within 3.0 wt% of the experimental yields. Further analyses were performed to test the influence of equivalence ratio, biomass injection position, and particle size distribution on autothermal pyrolysis. The analysis of the physio-chemical properties of the fluid and solid phase inside the reactor and at the reactor outlet help reveal important process interactions of autothermal pyrolysis.

BIOMASS FUELS,INORGANIC, ORGANIC, PHYSICAL, AND AN↗