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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    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