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Dilute Sulfuric Acid Pretreatment of Corn Stover in a Pilot-Scale Reactor:
Investigation of Yields, Kinetics, and Solids
Enzymatic Digestibilities
Daniel J. Schell, Jody Farmer, Millie Newman, and James D. McMillan
National Bioenergy Center
National Renewable Energy Laboratory
Golden, CO
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Introduction
Dilute sulfuric acid pretreatment of corn stover was performed in a continuous pilot-scale reactor
Data was collected on xylose hydrolysis yields and enzymatic digestibilities of the pretreated cellulosic solids
The xylose yield data was used to calculate kinetic rate parameters for a biphasic xylan hydrolysis model incorporating formation of intermediate xylo-oligomers
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Materials and Methods Corn stover
Used approximately 9 month old stover that was tub-ground and washed and dried to 10% moisture
Analytical Performed solids compositional analysis of raw and pretreated
solids Liquor
Measured concentration of monomeric and total sugars, acetic acid, furfural, and HMF by HPLC; measured pH
Measured insoluble solids in the pretreated slurry
Enzymatic digestibility SSF was performed on the washed pretreated solids at 6%
cellulose loading, 15 FPU/g cellulose enzyme loading, 32C Calculated cellulose conversion from ethanol yield results
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Pretreatment
41 pretreatments runs at a variety of conditions were conducted in a continuous 1 dry ton/d pilot-scale reactor (see flow diagram)
Pretreatment conditions 165-183C 3-12 min 0.5-1.4% (w/w) nominal acid concentration 20% (w/w) total reactor solids concentration
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Pretreatment Experimental Protocol
Steady state operating conditions were established and then samples were taken; data acquisition system collected sensor data every 30s
Samples taken Raw feedstock (for moisture) Pretreated slurry Vapor vent streams
Calculations Xylan hydrolysis yields (monomeric and oligomeric xylose,
furfural, unconverted xylan) were calculated from stream composition and flow rate data
Results were also analyzed using a combined severity factor (CSF)
pHTtLogCSF
=
75.14100exp10
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Dilute Acid Kinetics
2
43
1
k
kk
k
xylanreactingSlowproductionDecompositXyloseoligomersXylose
xylanreactingFast
+= RTEkkk ipHHi
oii exp)}10({
An Excel add-in (Evolver) using a genetic algorithm was used to estimate the parameter values (fast hydrolyzing xylan fraction, kio, kiH, and Ei) by minimizing an error term composed of the sum of the square of the errors between measured and predicted values for monomeric and oligomer xylose and unconverted xylan.
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Pretreatment System
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Figure 1. Monomeric and Total Xylose Yields
0
10
20
30
40
50
60
70
80
0.5 0.7 0.9 1.1 1.3 1.5 1.7 1.9 2.1Combined Severity Factor
Xylo
se Y
ield
(%)
MonomericTotal
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Figure 2. Xylan Fractionation and Mass Balance Closure
0
20
40
60
80
100
12015 14 13 7 4 12 22 10 26 23 34 21 17 24 29 18 19 33 37 1 2 3 20 27 6 5 38 11 36 35 8 16 9 28 25 30 31 32
Run #
Yiel
d (%
theo
retic
al)
Monomeric Xylose Oligomeric Xylose Xylan Furfural
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Figure 3. Enzymatic Digestibilities
55
60
65
70
75
80
85
90
95
1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1
Combined Severity Factor
Cel
lulo
se C
onve
rsio
n (%
)
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Highlight Results - Experimental
Monomeric and total xylose yields reach a peak of 70-71%, but at different pretreatment severities (Fig. 1)
With increasing severity, furfural yields increase and unconverted xylan and oligomeric xylose yields decrease (Fig. 2)
Mass balance closure ranges from 85-105%, but are significantly lower at higher severities (Fig. 2)
Cellulose conversion increases with increasing severity reaching a value of 87% (Fig. 3)
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Figure 4. Predicted versus Experimental Yields
0
10
20
30
40
50
60
70
80
0 10 20 30 40 50 60 70 80
Experimental Yield (%)
Pred
icte
d Yi
eld
(%)
Monomeric Xylose
Oligomeric Xylose
Unconverted Xylan
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Figure 5. Kinetic Modeling Results:Based on Maximizing Monomeric Xylose
35
40
45
50
55
60
65
70
75
80
85
90
160 165 170 175 180 185 190
Temperature (C)
Max
imum
Xyl
ose
Yiel
d (%
) pH 1.0
Total xyloseMonomeric xylose
pH 1.5
pH 2.0
Experimental data range
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Figure 6. Kinetic Modeling Results Based on Maximizing Monomeric or Total Xylose
35
45
55
65
75
85
95
160 165 170 175 180 185 190
Temperature (C)
Max
imum
Xyl
ose
Yiel
d (%
)
Maximizing total xylose yield
Total xyloseMonomeric xylose
Maximizing monomeric xylose yield
Total xyloseMonomeric xylose
pH 1.0
pH 2.0
Lines for monomeric and total xylose yield at pH 1.0 lie on top of each other regardless of maximization criteria
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Highlight Results - Kinetic Model The kinetic model predicts xylan hydrolysis
performance across the data set fairly well (Fig. 4) Low pH and high temperatures are required to
achieve the highest xylose yields (Fig. 5) Total xylose yields are greater than monomeric
xylose yields, although the differences are small at low pH (Fig. 5)
At low pH, xylose yields are the same regardless of which criteria is used to maximize yields (Fig. 6)
At high pH, higher total xylose yields can be achieved by maximizing on total xylose (Fig. 6)
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Acknowledgements
The Biochemical Conversion Element of the Office of Fuels Development of the US Department of Energy funded this work. We gratefully acknowledge the technical assistance of Bob Lyons and Bryan Rohrbackwith pilot plant operation, Raymond Ruiz, David Templeton, Amie Sluiter, and Bonnie Hames with chemical analysis of process samples, and David Templeton with procurement of the corn stover.