palm oil mill bio refiner
TRANSCRIPT
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8/6/2019 Palm Oil Mill Bio Refiner
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Retrofit of Palm Oil Complexes
as an Integrated Biorefinery
H84DEV PROJECT
JEREMIAH F. OGUGO
YOUSRA BAGHDADI
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8/6/2019 Palm Oil Mill Bio Refiner
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Presentation outline
Introduction
Objectives
Palm Oil Mill Process Description
Methodology
A Case Study of Palm Oil Mill
Superstructure Approach
Mathematical Optimization
Result and Analysis
Conclusion
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Introduction
Palm fruit is also known as Elaeis Guineensis.
Originated in the tropical rain forest region of west Africa.
Oil Palm fruit processing has been practiced in Africa for ages on small-scale for edible oil.
Malaysia is currently the world second largest producer and exporter of palmoil.
At the palm oil mill, 1 ton of FFB contains about 20% palm oil, 67% palmkernel, 11-12% fiber, 67% shell, 60% POME and 23% EFB.
The biomass generated can be used as source of fuel to generate steam andelectricity to fulfill the plant energy requirements.
Generation of palm oil mill waste could be valuable by using it in biorefineryto produce Biodiesel, Methanol and other valued products.
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Objectives
Retrofit of palm oil mill complexes as an integrated biorefinery.
Development of mathematical optimization model to retrofit
palm oil mill as an integrated biorefinery.
Mathematical analysis was applied as to ascertain the
technologies that give high yield by optimization
Selected Pathways by the model that give optimal solution and
products for maximum profit would be involved for an
integrated biorefinery
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Palm Oil Process Description Diagram
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Methodology
Case Study of Palm Oil Mill
A case study of 30 tonnes/h of FFB was considered to obtain the different amount ofproducts and biomass generated from each of the processes involved.
The Material Balances of a Case Study Palm Oil MillEFFLUENT =34147 kg/h
STERILIZATION
DIGESTER
THRESHING
CLARIFICATION
PULP PRESSING
FFB
H2O=24 kg/h
Steam = 7500 kg/h
FFB= 30000 kg/h
WW= 3377 kg/h
EFB = 7171 kg/h
FIBER =14.3%
CPO=11.3%SHELL = 13%
POME = 61.45%
26976 Kg/h
Steam = 3900 kg/h
FIBER =13.6%
CPO=14.37%
SHELL = 13%
POME = 59.03%
30876 kg
LIQUID OUTLET
19071 kg
Steam = 3300 kg/
h
CPO =15.56%
POME = 84.44%
SOLID OUTLET
15105 kg
FIBER =26.4%
SHELL = 15%
POME = 58.6%
NUT CRACKER
FIBER CYCLONE
POME
12771 kg/h
CPO
6300 kg/h
FIBER = 3600 kg/h
11505 kg/h
SHELL = 23%
POME = 77%
POME
7577 kg/h
SHELL
2121kg/h
KERNEL
1609 kg/h
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Methodology
Case Study of Palm Oil Mill
EFB
PPF
PK
S
KERNEL
CPO
POME
WW
FFB = 4.762/CPO
KERNEL=0.287/CPO
CPO= 1
PKS= 0.337/CPO
POME=3.229/CPO
EFB=1.138/CPO
WW=0.536/CPO
PPF= 0.571/CPOPower = 0.004
KWh/Kg CPO
Steam = 2.333/CPO
Water= 0.004/CPO
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Mathematical Optimization
The optimization models consist of objective functions are
formed from the source-sink material balance, unit operation
material balance, technical specification and process
modeling.
A software-LINGO was used to solve the model to
maximum profit from the integrated biorefinery. Information from the literature about conversions ,
operating conditions, and prices of the products were used.
The built model was allow to select reasonable and
productive pathway for the whole process and otherindividual product.
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Electricity
P1
Syngas
K3
SHELLF1
FIBER
F2
EFB
F3
F12
F22
F32
Gasification
J2 J23
Catalytic
Conversion
L3L35
Ethanol
M5
M52
Engine
N2
N21
Maximize the Electricity
Global optimal solution found.Objective value: 9812.754
Total solver iterations: 19
Variable Value Reduced Cost
P1 9812.754 0.000000
MP 499.1653 0.000000
Results and Analysis
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HeatP2
PyrolysisJ3
FermentationJ6
SteamM1
BoilerL1
SteamTurbine
N1K1
Bio-OilK5
TransesterificationL7
POMEF4
F11
F13
DirectCombustion
J1
K8
J11
J35
L8
K11
K57
BiodieselM6
L11
L76
K88
M11N12
N22SHELL
F1
FIBERF2
EthanolM5
Engine
N2
M52
F21
F31
EFBF3
BiodieselP7N7
M67N77
Maximize the Heat
Global optimal solution found.
Objective value: 13297.11Total solver iterations: 21
Variable Value Reduced Cost
P2 13297.11 0.000000
F1 3597.300 0.000000
F11 3597.221 0.000000
P7 0.3875170E-02 0.000000
MP 0.000000 0.7461148E-02
Results and Analysis
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Methane
K4
Methanol
P3
Methanol
M2
J44
Methanol
SynthesisL2
K32
22
N3
M23
N33
K42
POMEF4
F44
Anaerobic
Digestion
J4
Gasification
J2
SHELL
F1
FIBER
F2
EFB
F3
F12
F32
F22
Syngas
K3
J23
Maximize the Methanol
Global optimal solution found.
Objective value: 2649.284Total solver iterations: 11
Variable Value Reduced Cost
P3 2649.284 0.000000
MP 944467.1 0.000000
Results and Analysis
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POME
F4
Gasification
J2
SHELL
F1
FIBER
F2
EFB
F3
F12
F32
J23
F22
Syngas
K3
Ethanol
P6
K33
N6
M56
N66
Catalytic
Conversion
L3
Ethanol
M5
Fermentation
J6
K8
L8
K88
L85F46
Maximize the EthanolGlobal optimal solution found.
Objective value: 6132.971
Total solver iterations: 11
Variable Value Reduced Cost
P6 6132.971 0.000000
MP 307872.6 0.000000
Results and Analysis
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CO2
K6
POME
F4
F44
Anaerobic
Digestion
J4 J46
SHELL
F1
FIBERF2
EFB
F3
Pyrolysis
J3
Biodiesel
P7
Bio-Oil
K5
Transesterification
L7
F13
F23
F33
J35
K57
Biodiesel
M6L76
N7M67
N77
Results and Analysis
Maximize the Biodiesel
Global optimal solution found.
Objective value: 631.6002Total solver iterations: 5
Variable Value Reduced Cost
P7 631.6002 0.000000
K6 7526.799 0.000000
MP 418937.8 0.000000
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SHELL
F1
FIBERF2 Pyrolysis
J3
F13
F23
HeatP2
SteamM1
Bio-charK2
BoilerL1
SteamTurbine
N1
M7
AcidP8
K9
J32
J69L9
K21
11
L97K99
N8
M78
N12
N88
POMEF4
FermentationJ6
F46
J5 BriquetteK7J57
EFBF3
Result and Analysis
Maximize the Acid
Global optimal solution found.Objective value: 10171.35
Total solver iterations: 5
Variable Value Reduced Cost
P8 10171.35 0.000000
K7 7169.400 0.000000P2 138.7197 0.000000 17H84DEV PROJECT
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Results and AnalysisMaximize Product Product yield(kg) Maximum Profit ($)
All end products Methanol=1601.988Biodiesel=631.6
990046.4
Electricity Electricity=9812.75 449.17
Heat Heat=13297 0.0000
Methanol Methanol=2649.28 944467
Hydrogen CO2=7526.8Hydrogen=2304.05
8038.5790.32
Biofuel CO2=7526.8Biofuel=921.62
90.3265616.82
Ethanol Ethanol=6132.97 307872.6
Biodiesel CO2=7526.8Biodiesel=631.6
90.32418937.8
Acetic Acid Briquette=716904Acetic acid=10171.35
Heat=138.72
103951.084371.1
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Conclusions
To integrate a biorefinery to a palm oil mill of thiscapacity, pathways of all the products is favored.
Methanol and Biodiesel pathways of the model were
quite promising and should be considered.
Product Price is a major decision factor on thepathway of the model to integrate in to the biorefinery.
For maximum production of methanol and biodiesel,
gasification, pyrolysis and anaerobic digestion are the
favourable biomass conversion technologies.
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Thank You