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The continuous production ofbioethanol: One, two and three tank
reactor designsS.D. Watt
�
H.S. Sidhu
�
, M.I. Nelson
�
, A.K. Ray
�
(1) School of Physical, Environmental and Mathematical Science, UNSW@ADFA,
AUSTRALIA.
(2) School of Mathematics & Applied Statistics, University of Wollongong, AUSTRALIA.
(3) Department of Chemical and Biochemical Engineering, University of Western Ontario,
CANADA
Bioethanol production – p.1/15
Talk Outline
Brief background.
Model description.
Results — dynamical & optimal performance.
Conclusion and future work.
Work supported from a grant from the Australian Research
Council (DP0559177)
Bioethanol production – p.2/15
Background — bioethanol
What is bioethanol?
Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Background — bioethanol
What is bioethanol?Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Background — bioethanol
What is bioethanol?Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Background — bioethanol
What is bioethanol?Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Background — bioethanol
What is bioethanol?Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Background — bioethanol
What is bioethanol?Bioethanol is ethanol that is made from a starch- orsugar-based feedstock, such as corn and sugar cane.Why manufacture bioethanol?
The energy content of ethanol is approximatelytwo-thirds that of petrol by volume.
Ethanol contains 35% oxygen and when blended withpetrol results in a more even and complete combustionof fuels — reduces knocking and improves performance
Reduced emissions — greenhouse gas emissionsreduced by up to 19%, tailpipe carbon monoxide by asmuch as 30%
It takes only six months to harvest a substantial crop forfuel.
Bioethanol production – p.3/15
Model — biochemistry
A.B. Jarzebski. (1992). “Modelling of oscillatory behaviourin continuous ethanol fermentation”. Biotechnology Letters,14(2), 137–142.
Substrate (
�
).
Product - ethanol - (
�
)
Biomass (Zymomonos mobilis)Viable cells (
��� )Non-viable cells (
���� ) — non-growing, but still retainthe ability to produce ethanol.Dead cells (
�� ) — eqn uncouples.
Bioethanol production – p.4/15
Model — single reactor
� � ��� � � � ��� � � � � � ��� ����
� �� ��� � �
� � ���� � � � �� � � � � � � � � � �� �
� � � � ��� � � � � � � � � � � � �� � � � � � �
� � ���� � � � �� � � � � �� � � � � �
� � ��� � � � � � � � �������
� �� � � � �
Bioethanol production – p.5/15
Model — rate expressions
� � �� ��
���� � �
� ��
��
��� � � �
� � � � ��
�� � � �
� ��
��
��� � � �
� � � �� ��
���� � �
� ��
� ��
�� � � � � �
Reaction rates can not be negative.
Substrate limitation.
Product inhibition.
Bioethanol production – p.6/15
Results — ethanol concentration
0 5 10 15 20−10
0
10
20
30
40
50
Residence time (h)
Eth
anol
con
cent
ratio
n (g
/l)
Figure 0:
��� � �� �
g l
� �
. � � �� �
hr.Bioethanol production – p.7/15
Results — productivity (Pr � �)
0 5 10 15 20−1
0
1
2
3
4
Residence time (h)
Prod
uctiv
ity (
g/l/h
)
Figure 0:��� � �� �
g l
� �
. Pr � �� � � � �
g l
� �
hr
� �
at
� � �� �
hr. Bioethanol production – p.8/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if g l .
Period doubling bifurcations.( g l , hr)
Period doubling route to chaos.Large residence times ( g l , hr).
Maximum productivity: system operated at a staticsteady-state.
If g l then
Pr g l hr
Bioethanol production – p.9/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if
�� � � � � g l
� �
.
Period doubling bifurcations.( g l , hr)
Period doubling route to chaos.Large residence times ( g l , hr).
Maximum productivity: system operated at a staticsteady-state.
If g l then
Pr g l hr
Bioethanol production – p.9/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if
�� � � � � g l
� �
.
Period doubling bifurcations.(
� � � �� �
g l
� �
, � � �� � � � � � � � �
hr)
Period doubling route to chaos.Large residence times ( g l , hr).
Maximum productivity: system operated at a staticsteady-state.
If g l then
Pr g l hr
Bioethanol production – p.9/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if
�� � � � � g l
� �
.
Period doubling bifurcations.(
� � � �� �
g l
� �
, � � �� � � � � � � � �
hr)
Period doubling route to chaos.Large residence times (
� � � �� �
g l
� �
, � � � �
hr).
Maximum productivity: system operated at a staticsteady-state.
If g l then
Pr g l hr
Bioethanol production – p.9/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if
�� � � � � g l
� �
.
Period doubling bifurcations.(
� � � �� �
g l
� �
, � � �� � � � � � � � �
hr)
Period doubling route to chaos.Large residence times (
� � � �� �
g l
� �
, � � � �
hr).
Maximum productivity: system operated at a staticsteady-state.
If g l then
Pr g l hr
Bioethanol production – p.9/15
Results — single reactor
Two hopf bifurcations if
�� � � � � g l
� � � �� �
.
One hopf bifurcation if
�� � � � � g l
� �
.
Period doubling bifurcations.(
� � � �� �
g l
� �
, � � �� � � � � � � � �
hr)
Period doubling route to chaos.Large residence times (
� � � �� �
g l
� �
, � � � �
hr).
Maximum productivity: system operated at a staticsteady-state.
If
�� � � � � g l� � � �� �
then
Pr� �� � � � �� � �
g l
� �
hr
� � � � � � �� � � �� � �
Bioethanol production – p.9/15
Results — reactor cascade
Infl
ow
Reactor 1 Reactor 2
Outflow
Reactor 3
Pr �
��� � �
Pr � �
��
�� � � � � �
Bioethanol production – p.10/15
Results — double reactor cascade
0 2 4 6 8
Prod
uctiv
ity (
mg
per
litre
per
hou
r)
Residence time in first tank (hours)10
0
1
2
3
4
5
Figure 0: Total residence � �
� � � � � � �
h
�
.
��� � � � �
g l
� �
.Bioethanol production – p.11/15
Results - optimal double reactor cascade
0 5 10 15 200
1
2
3
4
5
6
Total residence time (hours)
Opt
imal
pro
duct
ivity
(m
g pe
r lit
re p
er h
our)
Optimal single tank productivity
Figure 0: Optimal performance of a cascade of two (un)equal reactors.
�� � � � �
g l
� �
.Bioethanol production – p.12/15
Results — scatter plot
3.6 3.8 4 4.2 4.4 4.6 4.8 5 5.27
8
9
10
11
12
13
14
15
16
Optimal productivity (grams per litre per hour)
Tot
al r
esid
ence
tim
e (h
ours
)
one reactor
2 equal reactors
3 equal reactors2 unequal reactors
3 unequal reactors
Figure 0: Optimal performance of a cascade of various reactor configura-tions.
�� � � � �
g l� �
.
Bioethanol production – p.13/15
What’s next?
Feed concentration : Extensive investigation.
Reactor costs : Can we afford to optimise production?
Recycle : Improves performance.
Performance : Maximise product concentration.
Undergraduate lab : Department of Chemical Engineering,Monash University.
Bioethanol production – p.14/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15
Conclusions
1. Ethanol production using verified model.
2. Investigated single-reactor.
3. Investigated double- and triple- reactor cascades.
4. Double reactor cascade can outperform single reac-tor by upto 34%.
5. Triple reactor cascade can outperform single reactorby upto 36%.
6. Equal double reactor cascade can outperform singlereactor by 27%.
7. Equal triple reactor cascade can outperform single re-actor by 28%.
Bioethanol production – p.15/15